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63 Commits

Author SHA1 Message Date
Averi Kitsch
ba3f371f65 Merge branch 'main' into akitsch-prebuilt 2025-07-25 11:12:38 -07:00
Yuan Teoh
90d4558a8e docs: update docs lint (#995) 2025-07-25 17:26:28 +00:00
prernakakkar-google
7791c6f87e docs: Minor documentation fixes for AlloyDB Admin API using MCP (#1003) 2025-07-25 09:17:55 -07:00
Pranava B
8ff60ca430 feat: add homebrew installation support for toolbox (#936)
Fixes #820 

- Added installation and upgrade support for toolbox via homebrew
-https://github.com/Homebrew/homebrew-core/pull/231149,
https://github.com/Homebrew/homebrew-core/pull/230590
- This PR updates the documentation files to include the same.

Install toolbox via homebrew with:
```
brew install mcp-toolbox
```

Start the server using the command:
```
toolbox --tools-file "tools.yaml"
```
2025-07-25 14:17:22 +00:00
release-please[bot]
c45390e6f7 chore(main): release 0.10.0 (#886)
🤖 I have created a release *beep* *boop*
---


##
[0.10.0](https://github.com/googleapis/genai-toolbox/compare/v0.9.0...v0.10.0)
(2025-07-25)


### Features

* Add `Map` parameters support
([#928](https://github.com/googleapis/genai-toolbox/issues/928))
([4468bc9](4468bc920b))
* Add Dataplex source and tool
([#847](https://github.com/googleapis/genai-toolbox/issues/847))
([30c16a5](30c16a559e))
* Add Looker source and tool
([#923](https://github.com/googleapis/genai-toolbox/issues/923))
([c67e01b](c67e01bcf9))
* Add support for null optional parameter
([#802](https://github.com/googleapis/genai-toolbox/issues/802))
([a817b12](a817b120ca)),
closes [#736](https://github.com/googleapis/genai-toolbox/issues/736)
* **prebuilt/alloydb-admin-config:** Add alloydb control plane as a
prebuilt config
([#937](https://github.com/googleapis/genai-toolbox/issues/937))
([0b28b72](0b28b72aa0))
* **prebuilt/mysql,prebuilt/mssql:** Add generic mysql and mssql
prebuilt tools
([#983](https://github.com/googleapis/genai-toolbox/issues/983))
([c600c30](c600c30374))
* **server/mcp:** Support MCP version 2025-06-18
([#898](https://github.com/googleapis/genai-toolbox/issues/898))
([313d3ca](313d3ca0d0))
* **sources/mssql:** Add support for encrypt connection parameter
([#874](https://github.com/googleapis/genai-toolbox/issues/874))
([14a868f](14a868f2a0))
* **sources/firestore:** Add Firestore as Source
([#786](https://github.com/googleapis/genai-toolbox/issues/786))
([2bb790e](2bb790e4f8))
* **sources/mongodb:** Add MongoDB Source
([#969](https://github.com/googleapis/genai-toolbox/issues/969))
([74dbd61](74dbd6124d))
* **tools/alloydb-wait-for-operation:** Add wait for operation tool with
exponential backoff
([#920](https://github.com/googleapis/genai-toolbox/issues/920))
([3f6ec29](3f6ec2944e))
* **tools/mongodb-aggregate:** Add MongoDB `aggregate` Tools
([#977](https://github.com/googleapis/genai-toolbox/issues/977))
([bd399bb](bd399bb0fb))
* **tools/mongodb-delete:** Add MongoDB `delete` Tools
([#974](https://github.com/googleapis/genai-toolbox/issues/974))
([78e9752](78e9752f62))
* **tools/mongodb-find:** Add MongoDB `find` Tools
([#970](https://github.com/googleapis/genai-toolbox/issues/970))
([a747475](a7474752d8))
* **tools/mongodb-insert:** Add MongoDB `insert` Tools
([#975](https://github.com/googleapis/genai-toolbox/issues/975))
([4c63f0c](4c63f0c1e4))
* **tools/mongodb-update:** Add MongoDB `update` Tools
([#972](https://github.com/googleapis/genai-toolbox/issues/972))
([dfde52c](dfde52ca9a))
* **tools/neo4j-execute-cypher:** Add neo4j-execute-cypher for Neo4j
sources ([#946](https://github.com/googleapis/genai-toolbox/issues/946))
([81d0505](81d05053b2))
* **tools/neo4j-schema:** Add neo4j-schema tool
([#978](https://github.com/googleapis/genai-toolbox/issues/978))
([be7db3d](be7db3dff2))
* **tools/wait:** Create wait for tool
([#885](https://github.com/googleapis/genai-toolbox/issues/885))
([ed5ef4c](ed5ef4caea))


### Bug Fixes

* Fix document preview pipeline for forked PRs
([#950](https://github.com/googleapis/genai-toolbox/issues/950))
([481cc60](481cc608ba))
* **prebuilt/firestore:** Mark database field as required in the
firestore prebuilt tools
([#959](https://github.com/googleapis/genai-toolbox/issues/959))
([15417d4](15417d4e0c))
* **prebuilt/cloud-sql-mssql:** Correct source reference for execute_sql
tool in cloud-sql-mssql.yaml prebuilt config
([#938](https://github.com/googleapis/genai-toolbox/issues/938))
([d16728e](d16728e5c6))
* **prebuilt/cloud-sql-mysql:** Update list_table tool
([#924](https://github.com/googleapis/genai-toolbox/issues/924))
([2083ba5](2083ba5048))
* Replace 'float' with 'number' in McpManifest
([#985](https://github.com/googleapis/genai-toolbox/issues/985))
([59e23e1](59e23e1725))
* **server/api:** Add logger to context in tool invoke handler
([#891](https://github.com/googleapis/genai-toolbox/issues/891))
([8ce311f](8ce311f256))
* **sources/looker:** Add agent tag to Looker API calls.
([#966](https://github.com/googleapis/genai-toolbox/issues/966))
([f55dd6f](f55dd6fcd0))
* **tools/bigquery-execute-sql:** Ensure invoke always returns a
non-null value
([#925](https://github.com/googleapis/genai-toolbox/issues/925))
([9a55b80](9a55b80482))
* **tools/mysqlsql:** Unmarshal json data from database during invoke
([#979](https://github.com/googleapis/genai-toolbox/issues/979))
([ccc3498](ccc3498cf0)),
closes [#840](https://github.com/googleapis/genai-toolbox/issues/840)

---
This PR was generated with [Release
Please](https://github.com/googleapis/release-please). See
[documentation](https://github.com/googleapis/release-please#release-please).

---------

Co-authored-by: release-please[bot] <55107282+release-please[bot]@users.noreply.github.com>
Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com>
2025-07-24 17:58:37 -07:00
nester-neo4j
be7db3dff2 feat(tools/neo4j-schema): add neo4j-schema tool (#978)
This pull request introduces a new tool, `neo4j-schema`, for extracting
and processing comprehensive schema information from Neo4j databases. It
includes updates to the documentation, implementation of caching
mechanisms, helper utilities for schema transformation, and
corresponding unit tests. The most important changes are grouped by
theme below:

### Tool Integration:
- **`cmd/root.go`**: Added import for the new `neo4j-schema` tool to
integrate it into the application.

### Documentation:
- **`docs/en/resources/tools/neo4j/neo4j-schema.md`**: Added detailed
documentation for the `neo4j-schema` tool, describing its functionality,
caching behavior, and usage examples.

### Caching Implementation:
- **`internal/tools/neo4j/neo4jschema/cache/cache.go`**: Implemented a
thread-safe, in-memory cache with expiration and optional janitor for
cleaning expired items.

### Unit Tests:
- **`internal/tools/neo4j/neo4jschema/cache/cache_test.go`**: Added
comprehensive tests for the caching system, including functionality for
setting, retrieving, expiration, janitor cleanup, and concurrent access.

### Helper Utilities:
- **`internal/tools/neo4j/neo4jschema/helpers/helpers.go`**: Added
utility functions for processing schema data, including support for APOC
and native Cypher queries, and converting raw query results into
structured formats.

---------

Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com>
2025-07-25 00:40:16 +00:00
Yuan Teoh
7e7d55c5d1 chore: add new docs to release please extraFiles (#994)
Add additional docs files and sort extraFiles list in alphabetical
order.
2025-07-24 17:10:09 -07:00
Anuj Jhunjhunwala
30c16a559e feat: add Dataplex source and tool (#847)
- Users have the preference to choose their clients. Below example is
using Gemini CLI.

- Users can use the pre-built Dataplex tools by creating a settings.json
file under .gemini directory. The contents of settings.json would be as
follows:-

```
{
  "mcpServers": {
    "dataplex": {
      "command": "./toolbox",
      "args": ["--prebuilt","dataplex","--stdio"],
      "env": {
          "DATAPLEX_PROJECT": "test-project"
      }
    }
  }
}
```

Fixes #831

---------

Co-authored-by: Wenxin Du <117315983+duwenxin99@users.noreply.github.com>
Co-authored-by: Mateusz Nowak <matnow@google.com>
Co-authored-by: Mateusz Nowak <kontakt@mateusznowak.pl>
2025-07-24 15:31:35 -07:00
ShanQincheng
14a868f2a0 feat(sources/mssql): add support for encrypt connection parameter (#874)
## 1. Why do we need to support the `encrypt` parameter?
MSSQL databases that `genai-toolbox` attempts to connect to may have
their encryption levels set differently. For example, a testing/demo
purpose MSSQL database may not require encryption at all. However,
`genai-toolbox` currently uses the default encryption parameter
(`encrypt=false`) to connect to this type of database and will throw an
error:
```
ERROR "toolbox failed to initialize: unable to initialize configs: unable to initialize source "my-mssql-source": unable to connect successfully: TLS Handshake failed: cannot read handshake packet: EOF"
```
> In this case, the encryption parameter should be set to
`encrypt=disable`.


## 2. Is this a necessary feature?
`genai-toolbox` uses the `github.com/microsoft/go-mssqldb` package as a
dependency to connect to MSSQL databases. According to the
[README](https://github.com/microsoft/go-mssqldb?tab=readme-ov-file#common-parameters)
of the `github.com/microsoft/go-mssqldb` package, `encrypt` is one of
the common parameters. Therefore, I believe supporting the `encrypt`
parameter in `genai-toolbox` is necessary.

## 3. How to replicate the error mentioned above?
### 3.1 Use this `docker-compose.yaml` file to start a demo MSSQL
instance
```
services:
  demo-mssql-database:
    image: mcr.microsoft.com/mssql/server:2017-CU1-ubuntu
    ports:
      - "20256:1433"
    environment:
      ACCEPT_EULA: "Y"
      MSSQL_SA_PASSWORD: "hellopassword!"
    restart: unless-stopped
    healthcheck:
      test: ["CMD", "/opt/mssql-tools/bin/sqlcmd", "-S", "localhost", "-U", "sa", "-P", "hellopassword!", "-Q", "SELECT 1"]
      interval: 5s
      retries: 10

  demo-mssql-database-init:
    image: mcr.microsoft.com/mssql/server:2017-CU1-ubuntu
    network_mode: service:demo-mssql-database
    command: >
      /bin/bash -c "/opt/mssql-tools/bin/sqlcmd -S localhost -U sa -P hellopassword! -d master -Q 'CREATE DATABASE DemoDatabase;'"
    depends_on:
      demo-mssql-database:
        condition: service_healthy
```

### 3.2 Use `genai-toolbox` to connect to the above demo MSSQL database
with this `tools.yaml` configuration file:
```
sources:
       my-mssql-source:
                kind: mssql
                host: localhost
                port: 20256
                database: master
                user: sa
                password: 'hellopassword!'
```

### 3.3 We shall see the error:
```
ERROR "toolbox failed to initialize: unable to initialize configs: unable to initialize source "my-mssql-source": unable to connect successfully: TLS Handshake failed: cannot read handshake packet: EOF"
```

---------

Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com>
2025-07-24 21:51:25 +00:00
Averi Kitsch
3746dbae65 docs: fix typos in MCP docs for Postgres (#991)
Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com>
2025-07-24 21:38:55 +00:00
Averi Kitsch
25a0bb7a37 docs: fix typos in MCP docs (#990)
Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com>
2025-07-24 21:14:37 +00:00
Wenxin Du
bd399bb0fb ci: Add MongoDB aggregate Tool and integration test (#977)
Co-authored-by: Author: Dennis Geurts <dennisg@dennisg.nl>
2025-07-24 16:49:41 -04:00
Wenxin Du
4c63f0c1e4 feat: Add MongoDB insert Tools (#975)
Add MongoDB `insert` Tools:

- mongodb-insert-one
- mongodb-insert-many

---------
Co-authored-by: Author: Dennis Geurts <dennisg@dennisg.nl>
2025-07-24 15:54:12 -04:00
Wenxin Du
78e9752f62 feat: Add MongoDB delete Tools (#974)
Add MongoDB `delete` Tools:

- mongodb-delete-one
- mongodb-delete-many

---------

Co-authored-by: Author: Venkatesh Shanbhag <91714892+theshanbhag@users.noreply.github.com>
Co-authored-by: Author: Dennis Geurts <dennisg@dennisg.nl>
2025-07-24 15:24:24 -04:00
Wenxin Du
dfde52ca9a feat: Add MongoDB update Tools (#972)
Add MongoDB Tools:
- mongodb-update-one
- mongodb-update-many

---------
Co-authored-by: Author: Dennis Geurts <dennisg@dennisg.nl>
2025-07-24 15:08:27 -04:00
Wenxin Du
a7474752d8 feat: Add MongoDB find Tools (#970)
Add MongoDB Tools:
- mongodb-find
- mongodb-find-one

---------
Co-authored-by: Author: Dennis Geurts <dennisg@dennisg.nl>
Co-authored-by: Kurtis Van Gent <31518063+kurtisvg@users.noreply.github.com>
2025-07-24 14:46:29 -04:00
prernakakkar-google
be65924aa6 docs: Add documentation for alloydb control plane tools (#988)
Co-authored-by: Averi Kitsch <akitsch@google.com>
2025-07-24 11:20:46 -07:00
bitsark
59e23e1725 fix: replace 'float' with 'number' in McpManifest (#985)
According to the json schema spec:There are two numeric types in JSON
Schema: integer and number So 'float' is not with mcpcurl and mcphost

Fixes #984, #797

---------

Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com>
2025-07-24 18:03:34 +00:00
Wenxin Du
74dbd6124d feat: Add MongoDB Source (#969)
Add MongoDB Source

---------

Co-authored-by: Author: Venkatesh Shanbhag <91714892+theshanbhag@users.noreply.github.com>
Co-authored-by: Kurtis Van Gent <31518063+kurtisvg@users.noreply.github.com>
2025-07-24 13:48:58 -04:00
prernakakkar-google
c600c30374 feat(prebuilt/mysql,prebuilt/mssql): add generic mysql and mssql prebuilt tools (#983)
Co-authored-by: Averi Kitsch <akitsch@google.com>
Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com>
2025-07-24 22:07:07 +05:30
Yuan Teoh
ccc3498cf0 fix(tools/mysqlsql): unmarshal json data from database during invoke (#979)
mysql driver return []uint8 types for "JSON", hence we will need to cast
it.

Toolbox will unmarshal JSON data retrieved from database during
invocation. If directly convert results into string, it will be
marshaled again when returning results to the user (causing double
marshaling).

Fixes #840
2025-07-24 16:25:53 +00:00
Dr. Strangelove
f55dd6fcd0 fix: add agent tag to Looker API calls. (#966) 2025-07-24 09:19:25 -06:00
trehanshakuntG
1526b8ab8c docs: update firestore documentation (#982)
Co-authored-by: Anubhav Dhawan <anubhavdhawan@google.com>
2025-07-24 08:56:33 +00:00
prernakakkar-google
2a1b1ff787 feat: Add indexing to docs for utility (#981) 2025-07-24 13:26:20 +05:30
Averi Kitsch
86ccff0b43 docs: fix wait tool notice tag (#968) 2025-07-23 14:20:28 -07:00
Dr. Strangelove
d61e552ead chore: refactor some attributes in Looker (#965) 2025-07-23 15:10:19 -04:00
Yuan Teoh
9c289da638 chore: update instructions for adding integration test coverage (#964) 2025-07-23 18:59:11 +00:00
Averi Kitsch
5b6883974c update 2025-07-23 11:58:59 -07:00
prernakakkar-google
0b28b72aa0 feat: Add alloydb control plane as a prebuilt config (#937) 2025-07-24 00:14:43 +05:30
prernakakkar-google
3f6ec2944e feat: Add wait for operation tool with exponential backoff (#920)
Example:

```
  alloydb-operations-get:
    kind: wait-for-operation
    source: alloydb-api-source
    method: GET
    path: /v1/projects/{{.projectId}}/locations/{{.locationId}}/operations/{{.operationId}}
    description: "Makes API call to check whether operation is done or not. This tool is run first then wait for tool. if its still in create phase trigger it after 3 minutes.  Print a message saying still not done. We will notify once its done."
    pathParams:
      - name: projectId
        type: string
        description: The dynamic path parameter
      - name: locationId
        type: string
        description: The dynamic path parameter
        default: us-central1
      - name: operationId
        type: string
        description: Operation status check for previous task

```
2025-07-24 00:04:36 +05:30
Dr. Strangelove
c67e01bcf9 feat: Looker MCP Server (#923)
Add support for Looker with the following prebuilt tools:
* get_models
* get_explores
* get_dimensions
* get_measures
* get_filters
* get_parameters
* query
* query_sql
* get_looks
* run_look

---------

Co-authored-by: duwenxin <duwenxin@google.com>
2025-07-23 18:12:06 +00:00
Averi Kitsch
a474dcfbc9 docs: add Prebuilt documentation 2025-07-23 11:03:32 -07:00
nester-neo4j
81d05053b2 feat: Neo4j tools enhancements - neo4j-execute-cypher (#946)
This pull request introduces a new tool for executing arbitrary Cypher
queries against a Neo4j database (`neo4j-execute-cypher`) and implements
robust query classification functionality to distinguish between read
and write operations. The changes include updates to documentation, the
addition of a query classifier, and comprehensive test coverage for the
classifier.

### Addition of `neo4j-execute-cypher` tool:

- **Documentation**: Added a new markdown file `neo4j-execute-cypher.md`
that explains the tool's functionality, usage, and configuration
options, including the ability to enforce read-only mode for security.
- **Import statement**: Registered the new tool in the `cmd/root.go`
file to make it available in the toolbox.

### Query classification functionality:

- **Query classifier implementation**: Added `QueryClassifier` in
`classifier.go`, which classifies Cypher queries into read or write
operations based on keywords, procedures, and subquery analysis. It
supports handling edge cases like nested subqueries, multi-word
keywords, and invalid syntax.
- **Test coverage**: Created extensive tests in `classifier_test.go` to
validate the classifier's behavior across various query types, including
abuse cases, subqueries, and procedure calls. Tests ensure the
classifier is robust and does not panic on malformed queries.

---------

Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com>
2025-07-23 17:33:44 +00:00
trehanshakuntG
15417d4e0c fix: mark database field as required in the firestore prebuilt tools (#959)
Env variables cannot be used as optional parameters, hence marking
database field as required.
2025-07-23 10:13:12 -07:00
dishaprakash
9aa6aa079d docs: Update sample for Genkit Go using tbgenkit package (#943)
Previously code snippets were added to the README on how to use the new
Toolbox Go Core SDK.
Recently we have released a `tbgenkit` client-side package to make
integration with Genkit Go easier.
This PR updates the code snippet to use the newer package

---------

Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com>
2025-07-23 11:59:47 +05:30
Anubhav Dhawan
fa3e9ac04b docs: fix type guidance for map parameter (#951)
`number` is now changed to `integer` and `float`.
2025-07-22 22:19:02 +00:00
Yuan Teoh
4ee8cfa1f4 chore: fix labels description (#957)
The `sync label` job failed during PR merge due to fail parsing.
2025-07-22 21:53:41 +00:00
Mend Renovate
552e86bc43 chore(deps): update module google.golang.org/api to v0.243.0 (#956)
This PR contains the following updates:

| Package | Change | Age | Confidence |
|---|---|---|---|
|
[google.golang.org/api](https://redirect.github.com/googleapis/google-api-go-client)
| `v0.242.0` -> `v0.243.0` |
[![age](https://developer.mend.io/api/mc/badges/age/go/google.golang.org%2fapi/v0.243.0?slim=true)](https://docs.renovatebot.com/merge-confidence/)
|
[![confidence](https://developer.mend.io/api/mc/badges/confidence/go/google.golang.org%2fapi/v0.242.0/v0.243.0?slim=true)](https://docs.renovatebot.com/merge-confidence/)
|

---

### Release Notes

<details>
<summary>googleapis/google-api-go-client
(google.golang.org/api)</summary>

###
[`v0.243.0`](https://redirect.github.com/googleapis/google-api-go-client/releases/tag/v0.243.0)

[Compare
Source](https://redirect.github.com/googleapis/google-api-go-client/compare/v0.242.0...v0.243.0)

##### Features

- **all:** Auto-regenerate discovery clients
([#&#8203;3233](https://redirect.github.com/googleapis/google-api-go-client/issues/3233))
([a269dca](a269dca39e))
- **all:** Auto-regenerate discovery clients
([#&#8203;3235](https://redirect.github.com/googleapis/google-api-go-client/issues/3235))
([b656000](b656000d19))
- **all:** Auto-regenerate discovery clients
([#&#8203;3236](https://redirect.github.com/googleapis/google-api-go-client/issues/3236))
([971135a](971135a022))
- **all:** Auto-regenerate discovery clients
([#&#8203;3237](https://redirect.github.com/googleapis/google-api-go-client/issues/3237))
([be7e601](be7e601ced))
- **all:** Auto-regenerate discovery clients
([#&#8203;3239](https://redirect.github.com/googleapis/google-api-go-client/issues/3239))
([b2202ca](b2202ca571))
- **all:** Auto-regenerate discovery clients
([#&#8203;3240](https://redirect.github.com/googleapis/google-api-go-client/issues/3240))
([ceceb79](ceceb79c86))

##### Bug Fixes

- **gensupport:** Update chunk upload logic for robust timeout handling.
([#&#8203;3208](https://redirect.github.com/googleapis/google-api-go-client/issues/3208))
([93865aa](93865aac32))

</details>

---

### Configuration

📅 **Schedule**: Branch creation - At any time (no schedule defined),
Automerge - At any time (no schedule defined).

🚦 **Automerge**: Disabled by config. Please merge this manually once you
are satisfied.

♻ **Rebasing**: Whenever PR becomes conflicted, or you tick the
rebase/retry checkbox.

🔕 **Ignore**: Close this PR and you won't be reminded about this update
again.

---

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---

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View the [repository job
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2025-07-22 21:21:50 +00:00
Kurtis Van Gent
1387f858b6 chore: update labels.yaml (#901) 2025-07-22 19:27:45 +00:00
Twisha Bansal
481cc608ba fix: fix document preview pipeline for forked PRs (#950)
The checkout actions uses ref as `github.sha` by default. For forked
repos, this refers to the last commit on the main branch
([ref](https://docs.github.com/en/actions/reference/events-that-trigger-workflows#fork)).

This means that the docs preview pipeline when run on forked PRs does
not allow us to preview changes made in the PR.

`github.event.pull_request.head.sha` allows to to checkout the latest
commit on the forked PR.
2025-07-22 21:59:44 +05:30
Niraj Nandre
d16728e5c6 fix: correct source reference for execute_sql tool in internal/prebuiltconfigs/tools/cloud-sql-mssql.yaml (#938)
### What this PR does:

This Pull Request resolves a critical configuration error in the
`cloud-sql-mssql.yaml` prebuilt tool definition, which was preventing
the `execute_sql` tool from correctly initializing and connecting to a
Cloud SQL for SQL Server instance.

### Problem:

Previously, the `source` field in
`internal/prebuiltconfigs/tools/cloud-sql-mssql.yaml` was incorrectly
configured as `cloud-sql-mssql-source`. This led to the `genai-toolbox`
server failing to find the corresponding data source, resulting in
errors like:
2025-07-22 15:09:09 +00:00
Anushka Saxena
49b1562f73 docs: add llamaindex integration to js quickstart (#931)
### Description

Enhance the [JavaScript
Quickstart](https://googleapis.github.io/genai-toolbox/getting-started/local_quickstart_js/)
by adding a new tab dedicated to integrating the MCP Toolbox with
LlamaIndex. This provides users with a direct, runnable example of how
to utilize Toolbox's capabilities within a LlamaIndex-powered LLM agent
for hotel search and booking operations.

The changes include:
- Addition of a new `LlamaIndex` tab in `docs/quickstarts/js-local.md`.
- Corresponding `hotelAgent.js` code snippet for LlamaIndex integration.

### Related Issue

This PR addresses and resolves #930.

---------

Signed-off-by: Anushka Saxena <anushka.saxena-it-2k19-05@iips.edu.in>
Co-authored-by: Twisha Bansal <58483338+twishabansal@users.noreply.github.com>
2025-07-22 16:20:33 +05:30
Anushka Saxena
a1def43b35 docs: add available tools for each source (#914)
- This PR adds an `"Available Tools"` section under each source page in
the
[documentation](https://googleapis.github.io/genai-toolbox/resources/sources/).
- The purpose is to help users quickly identify relevant tools
compatible with each data source, improving discoverability and
developer experience.

---------

Signed-off-by: Anushka Saxena <anushkasaxenaa@google.com>
Co-authored-by: Twisha Bansal <58483338+twishabansal@users.noreply.github.com>
2025-07-22 15:53:39 +05:30
dishaprakash
480d76dfff docs: add Toolbox Go SDK quickstart (#941)
docs: Add Toolbox Go SDK Quickstart
2025-07-22 13:51:49 +05:30
Huan Chen
9334368a42 chore: fix dry run location (#947)
Updated dry run in execute sql to also include a location, fix the
potential issue in PR #925.
2025-07-21 20:53:19 -07:00
nester-neo4j
2a650349cb chore: rename neo4j packaage to neo4jcypher (#945)
**Package Renaming**: The `neo4j` package has been renamed to
`neo4jcypher` to better reflect its functionality. This change affects
the tool's implementation
(`internal/tools/neo4j/neo4jcypher/neo4jcypher.go`) and its associated
tests (`internal/tools/neo4j/neo4jcypher/neo4jcypher_test.go`).
2025-07-21 22:09:12 +00:00
Kurtis Van Gent
5f7cc32127 chore: update blunderbuss for kvg-ooo (#942) 2025-07-21 18:21:44 +00:00
Mend Renovate
abdab54503 chore(deps): update module github.com/couchbase/gocb/v2 to v2.10.1 (#939)
This PR contains the following updates:

| Package | Change | Age | Confidence |
|---|---|---|---|
|
[github.com/couchbase/gocb/v2](https://redirect.github.com/couchbase/gocb)
| `v2.10.0` -> `v2.10.1` |
[![age](https://developer.mend.io/api/mc/badges/age/go/github.com%2fcouchbase%2fgocb%2fv2/v2.10.1?slim=true)](https://docs.renovatebot.com/merge-confidence/)
|
[![confidence](https://developer.mend.io/api/mc/badges/confidence/go/github.com%2fcouchbase%2fgocb%2fv2/v2.10.0/v2.10.1?slim=true)](https://docs.renovatebot.com/merge-confidence/)
|

---

### Release Notes

<details>
<summary>couchbase/gocb (github.com/couchbase/gocb/v2)</summary>

###
[`v2.10.1`](https://redirect.github.com/couchbase/gocb/compare/v2.10.0...v2.10.1)

[Compare
Source](https://redirect.github.com/couchbase/gocb/compare/v2.10.0...v2.10.1)

</details>

---

### Configuration

📅 **Schedule**: Branch creation - At any time (no schedule defined),
Automerge - At any time (no schedule defined).

🚦 **Automerge**: Disabled by config. Please merge this manually once you
are satisfied.

♻ **Rebasing**: Whenever PR becomes conflicted, or you tick the
rebase/retry checkbox.

🔕 **Ignore**: Close this PR and you won't be reminded about this update
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2025-07-21 11:14:43 -07:00
Yuan Teoh
e78bce32dc style(tools/firestore): fix linting (#944) 2025-07-21 17:49:45 +00:00
Yuan Teoh
3727b1d053 docs: add parameter required field to docs (#917)
add documentation for the `required` field.
2025-07-21 17:41:58 +00:00
Yuan Teoh
7eff0f9ac7 test: integration tests for null optional parameters (#889)
Note: null optional parameters currently doesn't work with BigQuery.
2025-07-21 17:32:44 +00:00
Wenxin Du
4468bc920b feat: Add Map parameters support (#928)
support both generic and typed map. Config example:
```
 parameters:
      - name: user_scores
        type: map
        description: A map of user IDs to their scores. All scores must be integers.
        valueType: integer # This enforces the value type for all entries. Leave it blank for generic map

```
Represented as `Object` with `additionalProperties` in manifests.

Added a util function to convert json.Number (string type) to int/float
types to address the problem where int/float values are converted to
strings for the generic map.
2025-07-18 17:19:09 -04:00
Huan Chen
9a55b80482 fix(tools/bigquery-execute-sql): ensure invoke always returns a non-null value (#925)
- Added a dry run step to identify the query type (e.g., SELECT, DML),
which allows the tool to correctly handle the query's output.
- The recommended high-level client, cloud.google.com/go/bigquery, does
not expose the statement type from a dry run. To circumvent this
limitation, the low-level BigQuery REST API client
(google.golang.org/api/bigquery/v2) was added to gain access to these
necessary details.

fixes: #915

---------

Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com>
2025-07-18 17:17:45 +00:00
Twisha Bansal
e5ac5ba9ee docs: fix to include correct way to authenticate to cloud run instances (#896)
Corresponding to
https://github.com/googleapis/mcp-toolbox-sdk-python/pull/313
2025-07-18 14:22:13 +05:30
trehanshakuntG
2bb790e4f8 feat: Add Firestore as Source (#786)
Firestore is a NoSQL document database built for automatic scaling, high
performance, and ease of application development. It's a fully managed,
serverless database that supports mobile, web, and server development.

This change adds Firestore as a source in toolbox
2025-07-18 11:42:07 +05:30
Yuan Teoh
2083ba5048 fix(prebuilt/cloud-sql-mysql): update list_table tool (#924)
This PR consist of two fixes: 
1. Added `default` to table_names parameter since the default value is
an empty string.
2. Update the sql statement for reusing parameter within the statement.

Fixes partial #877
2025-07-17 13:40:25 -07:00
Yuan Teoh
53afed5b76 chore(tools): invoke return type any instead of []any (#904)
Update `tool.Invoke()` to return type `any` instead of `[]any`.

Toolbox return a map with the `results` key, and the SDK reads the
string from the key. So this won't break existing SDK implementation.

Fixes #870
2025-07-17 11:03:54 -07:00
Harsh Jha
2b2732ec39 docs: fix valkey doc broken link (#916)
In
[genai-toolbox](https://googleapis.github.io/genai-toolbox/resources/sources/valkey/)
Official Documentation of valkey URL is broken.

---------

Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com>
2025-07-17 06:23:19 +00:00
Mend Renovate
9b1505e4bd chore(deps): update module google.golang.org/api to v0.242.0 (#913)
This PR contains the following updates:

| Package | Change | Age | Confidence |
|---|---|---|---|
|
[google.golang.org/api](https://redirect.github.com/googleapis/google-api-go-client)
| `v0.241.0` -> `v0.242.0` |
[![age](https://developer.mend.io/api/mc/badges/age/go/google.golang.org%2fapi/v0.242.0?slim=true)](https://docs.renovatebot.com/merge-confidence/)
|
[![confidence](https://developer.mend.io/api/mc/badges/confidence/go/google.golang.org%2fapi/v0.241.0/v0.242.0?slim=true)](https://docs.renovatebot.com/merge-confidence/)
|

---

### Release Notes

<details>
<summary>googleapis/google-api-go-client
(google.golang.org/api)</summary>

###
[`v0.242.0`](https://redirect.github.com/googleapis/google-api-go-client/releases/tag/v0.242.0)

[Compare
Source](https://redirect.github.com/googleapis/google-api-go-client/compare/v0.241.0...v0.242.0)

##### Features

- **all:** Auto-regenerate discovery clients
([#&#8203;3226](https://redirect.github.com/googleapis/google-api-go-client/issues/3226))
([9bd47c4](9bd47c484b))
- **all:** Auto-regenerate discovery clients
([#&#8203;3228](https://redirect.github.com/googleapis/google-api-go-client/issues/3228))
([2ee2e31](2ee2e31870))
- **all:** Auto-regenerate discovery clients
([#&#8203;3229](https://redirect.github.com/googleapis/google-api-go-client/issues/3229))
([6fdc3eb](6fdc3ebb20))
- **all:** Auto-regenerate discovery clients
([#&#8203;3230](https://redirect.github.com/googleapis/google-api-go-client/issues/3230))
([d5fa61e](d5fa61e954))
- **all:** Auto-regenerate discovery clients
([#&#8203;3231](https://redirect.github.com/googleapis/google-api-go-client/issues/3231))
([96d4d98](96d4d98a3d))
- **all:** Auto-regenerate discovery clients
([#&#8203;3232](https://redirect.github.com/googleapis/google-api-go-client/issues/3232))
([2ab275b](2ab275bbcb))

</details>

---

### Configuration

📅 **Schedule**: Branch creation - At any time (no schedule defined),
Automerge - At any time (no schedule defined).

🚦 **Automerge**: Disabled by config. Please merge this manually once you
are satisfied.

♻ **Rebasing**: Whenever PR becomes conflicted, or you tick the
rebase/retry checkbox.

🔕 **Ignore**: Close this PR and you won't be reminded about this update
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---

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2025-07-17 01:11:11 +00:00
Mend Renovate
b7795c8857 chore(deps): update module github.com/valkey-io/valkey-go to v1.0.63 (#907)
This PR contains the following updates:

| Package | Change | Age | Confidence |
|---|---|---|---|
|
[github.com/valkey-io/valkey-go](https://redirect.github.com/valkey-io/valkey-go)
| `v1.0.62` -> `v1.0.63` |
[![age](https://developer.mend.io/api/mc/badges/age/go/github.com%2fvalkey-io%2fvalkey-go/v1.0.63?slim=true)](https://docs.renovatebot.com/merge-confidence/)
|
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|

---

### Release Notes

<details>
<summary>valkey-io/valkey-go (github.com/valkey-io/valkey-go)</summary>

###
[`v1.0.63`](https://redirect.github.com/valkey-io/valkey-go/releases/tag/v1.0.63):
1.0.63

[Compare
Source](https://redirect.github.com/valkey-io/valkey-go/compare/v1.0.62...v1.0.63)

### Changes

- feat: Add XDELEX command
- feat: add XACKDEL command
- feat: add KEEPREF, DELREF, and ACKED options to XTRIM command
- feat: Add KEEPREF, DELREF, and ACKED options to XADD command
- feat: add WITHATTRIBS option to command VSIM
- feat: add DIFF, DIFF1, ANDOR, and ONE options to BITOP command
- feat: add HStrLen to valkeycompat
- feat: Add TotalNetIn, TotalNetOut, and TotalCmds fields to
valkeycompat.ClientInfo
- feat: add Scanner implementation with Iter and Iter2 methods for XSCAN
- feat: allow non-blocking client initialization when ForceSingleClient
is set
- perf: replace json.NewDecoder with json.Unmarshal
- perf: reduce mux size by consolidating wire, sc, mu into one struct
- perf: allocate fields for RESP2 PubSub only when necessary

#### Contributors

We'd like to thank all the contributors who worked on this release!

[@&#8203;Aakkash-Suresh](https://redirect.github.com/Aakkash-Suresh),
[@&#8203;Ryan2327](https://redirect.github.com/Ryan2327),
[@&#8203;arbhalerao](https://redirect.github.com/arbhalerao),
[@&#8203;ash2k](https://redirect.github.com/ash2k),
[@&#8203;dalaoqi](https://redirect.github.com/dalaoqi),
[@&#8203;davidlin-tv2](https://redirect.github.com/davidlin-tv2),
[@&#8203;mingdaoy](https://redirect.github.com/mingdaoy),
[@&#8203;rueian](https://redirect.github.com/rueian),
[@&#8203;sugymt](https://redirect.github.com/sugymt) and
[@&#8203;yhc9311](https://redirect.github.com/yhc9311)

</details>

---

### Configuration

📅 **Schedule**: Branch creation - At any time (no schedule defined),
Automerge - At any time (no schedule defined).

🚦 **Automerge**: Disabled by config. Please merge this manually once you
are satisfied.

♻ **Rebasing**: Whenever PR becomes conflicted, or you tick the
rebase/retry checkbox.

🔕 **Ignore**: Close this PR and you won't be reminded about this update
again.

---

- [ ] <!-- rebase-check -->If you want to rebase/retry this PR, check
this box

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View the [repository job
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2025-07-17 00:46:05 +00:00
Yuan Teoh
000831c15b docs: update transport protocol in mcp instructions (#893)
Current default transport protocol shown in docs is using `sse`.
Updating to use `Streamable HTTP`.

Fixes #876
2025-07-16 23:36:59 +00:00
Yuan Teoh
5c54cc973d chore(tools/http): replace nil query parameter with empty string (#892)
Replace `nil` values with empty string for query parameter.
2025-07-16 22:26:53 +00:00
Wenxin Du
8cc91ee3f7 fix: Redis and Valkey docs (#912)
Add port and make sure address is an array.

fix: https://github.com/googleapis/genai-toolbox/issues/883
2025-07-16 18:19:33 -04:00
245 changed files with 23372 additions and 527 deletions

View File

@@ -153,6 +153,26 @@ steps:
"BigQuery" \
bigquery \
bigquery
- id: "dataplex"
name: golang:1
waitFor: ["compile-test-binary"]
entrypoint: /bin/bash
env:
- "GOPATH=/gopath"
- "DATAPLEX_PROJECT=$PROJECT_ID"
- "SERVICE_ACCOUNT_EMAIL=$SERVICE_ACCOUNT_EMAIL"
secretEnv: ["CLIENT_ID"]
volumes:
- name: "go"
path: "/gopath"
args:
- -c
- |
.ci/test_with_coverage.sh \
"Dataplex" \
dataplex \
dataplex
- id: "postgres"
name: golang:1
@@ -425,8 +445,69 @@ steps:
"Valkey" \
valkey \
valkey
- id: "firestore"
name: golang:1
waitFor: ["compile-test-binary"]
entrypoint: /bin/bash
env:
- "GOPATH=/gopath"
- "FIRESTORE_PROJECT=$PROJECT_ID"
- "SERVICE_ACCOUNT_EMAIL=$SERVICE_ACCOUNT_EMAIL"
secretEnv: ["CLIENT_ID"]
volumes:
- name: "go"
path: "/gopath"
args:
- -c
- |
.ci/test_with_coverage.sh \
"Firestore" \
firestore \
firestore
- id: "looker"
name: golang:1
waitFor: ["compile-test-binary"]
entrypoint: /bin/bash
env:
- "GOPATH=/gopath"
- "FIRESTORE_PROJECT=$PROJECT_ID"
- "SERVICE_ACCOUNT_EMAIL=$SERVICE_ACCOUNT_EMAIL"
- "LOOKER_VERIFY_SSL=$_LOOKER_VERIFY_SSL"
secretEnv: ["CLIENT_ID", "LOOKER_BASE_URL", "LOOKER_CLIENT_ID", "LOOKER_CLIENT_SECRET"]
volumes:
- name: "go"
path: "/gopath"
args:
- -c
- |
.ci/test_with_coverage.sh \
"Looker" \
looker \
looker
- id: "alloydbwaitforoperation"
name: golang:1
waitFor: ["compile-test-binary"]
entrypoint: /bin/bash
env:
- "GOPATH=/gopath"
- "API_KEY=$(gcloud auth print-access-token)"
secretEnv: ["CLIENT_ID"]
volumes:
- name: "go"
path: "/gopath"
args:
- -c
- |
.ci/test_with_coverage.sh \
"Alloydb Wait for Operation" \
utility \
utility/alloydbwaitforoperation
availableSecrets:
secretManager:
- versionName: projects/$PROJECT_ID/secrets/cloud_sql_pg_user/versions/latest
@@ -479,6 +560,12 @@ availableSecrets:
env: REDIS_PASS
- versionName: projects/$PROJECT_ID/secrets/memorystore_valkey_address/versions/latest
env: VALKEY_ADDRESS
- versionName: projects/107716898620/secrets/looker_base_url/versions/latest
env: LOOKER_BASE_URL
- versionName: projects/107716898620/secrets/looker_client_id/versions/latest
env: LOOKER_CLIENT_ID
- versionName: projects/107716898620/secrets/looker_client_secret/versions/latest
env: LOOKER_CLIENT_SECRET
options:
@@ -510,4 +597,5 @@ substitutions:
_MSSQL_PORT: "1433"
_DGRAPHURL: "https://play.dgraph.io"
_COUCHBASE_BUCKET: "couchbase-bucket"
_COUCHBASE_SCOPE: "couchbase-scope"
_COUCHBASE_SCOPE: "couchbase-scope"
_LOOKER_VERIFY_SSL: "true"

View File

@@ -2,8 +2,10 @@
# Arguments:
# $1: Display name for logs (e.g., "Cloud SQL Postgres")
# $2: Source package name (e.g., cloudsqlpg)
# $3, $4, ...: Tool package names for grep (e.g., postgressql)
# $2: Integration test's package name (e.g., cloudsqlpg)
# $3, $4, ...: Tool package names for grep (e.g., postgressql), if the
# integration test specifically check a separate package inside a folder, please
# specify the full path instead (e.g., postgressql/postgresexecutesql)
DISPLAY_NAME="$1"
SOURCE_PACKAGE_NAME="$2"
@@ -57,4 +59,4 @@ if awk -v coverage="$coverage_numeric" 'BEGIN {exit !(coverage < 50)}'; then
exit 1
else
echo "Coverage for ${DISPLAY_NAME} is sufficient."
fi
fi

View File

@@ -1,5 +1,4 @@
assign_issues:
- kurtisvg
- Yuan325
- duwenxin99
- akitsch
@@ -11,7 +10,6 @@ assign_issues_by:
- shobsi
- jiaxunwu
assign_prs:
- kurtisvg
- Yuan325
- duwenxin99
- akitsch

24
.github/labels.yaml vendored
View File

@@ -50,7 +50,7 @@
color: ffffc7
description: Desirable enhancement or fix. May not be included in next release.
- name: do not merge
- name: 'do not merge'
color: d93f0b
description: Indicates a pull request not ready for merge, due to either quality
or timing.
@@ -65,28 +65,26 @@
color: ededed
description: Release please has completed a release for this.
- name: 'blunderbuss: assign'
color: 3DED97
description: Have blunderbuss assign this to someone new.
- name: 'tests: run'
color: 3DED97
description: Label to trigger Github Action tests.
- name: 'docs: deploy-preview'
color: BFDADC
description: Label to trigger Github Action docs preview.
- name: 'status: contribution welcome'
- name: 'status: help wanted'
color: 8befd7
description: Status - Contributions welcome.
- name: 'status: awaiting response'
description: 'Status: Unplanned work open to contributions from the community.'
- name: 'status: feedback wanted'
color: 8befd7
description: Status - Awaiting response from author.
- name: 'status: awaiting codeowners'
color: 8befd7
description: Status - Awaiting response from code owners.
description: 'Status: waiting for feedback from community or issue author.'
# Product Labels
- name: 'product: bigquery'
color: 5065c7
description: Product - Assigned to the BigQuery team.
description: 'Product: Assigned to the BigQuery team.'

View File

@@ -18,19 +18,25 @@ releaseType: simple
versionFile: "cmd/version.txt"
extraFiles: [
"README.md",
"docs/en/getting-started/colab_quickstart.ipynb",
"docs/en/getting-started/introduction/_index.md",
"docs/en/getting-started/local_quickstart.md",
"docs/en/getting-started/local_quickstart_js.md",
"docs/en/getting-started/local_quickstart_go.md",
"docs/en/getting-started/mcp_quickstart/_index.md",
"docs/en/samples/bigquery/local_quickstart.md",
"docs/en/samples/bigquery/mcp_quickstart/_index.md",
"docs/en/getting-started/colab_quickstart.ipynb",
"docs/en/samples/bigquery/colab_quickstart_bigquery.ipynb",
"docs/en/how-to/connect-ide/bigquery_mcp.md",
"docs/en/how-to/connect-ide/spanner_mcp.md",
"docs/en/samples/looker/looker_gemini.md",
"docs/en/samples/looker/looker_mcp_inspector.md",
"docs/en/how-to/connect-ide/alloydb_pg_mcp.md",
"docs/en/how-to/connect-ide/cloud_sql_mysql_mcp.md",
"docs/en/how-to/connect-ide/alloydb_pg_admin_mcp.md",
"docs/en/how-to/connect-ide/bigquery_mcp.md",
"docs/en/how-to/connect-ide/cloud_sql_pg_mcp.md",
"docs/en/how-to/connect-ide/postgres_mcp.md",
"docs/en/how-to/connect-ide/cloud_sql_mssql_mcp.md",
"docs/en/how-to/connect-ide/cloud_sql_mysql_mcp.md",
"docs/en/how-to/connect-ide/firestore_mcp.md",
"docs/en/how-to/connect-ide/looker_mcp.md",
"docs/en/how-to/connect-ide/postgres_mcp.md",
"docs/en/how-to/connect-ide/spanner_mcp.md",
]

View File

@@ -51,6 +51,8 @@ jobs:
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
with:
# Checkout the PR's HEAD commit (supports forks).
ref: ${{ github.event.pull_request.head.sha }}
fetch-depth: 0 # Fetch all history for .GitInfo and .Lastmod
- name: Setup Hugo

7
.gitignore vendored
View File

@@ -4,6 +4,9 @@
# vscode
.vscode/
# idea
.idea/
# npm
node_modules
@@ -14,3 +17,7 @@ node_modules
# coverage
.coverage
# executable
genai-toolbox
toolbox

View File

@@ -1,5 +1,43 @@
# Changelog
## [0.10.0](https://github.com/googleapis/genai-toolbox/compare/v0.9.0...v0.10.0) (2025-07-25)
### Features
* Add `Map` parameters support ([#928](https://github.com/googleapis/genai-toolbox/issues/928)) ([4468bc9](https://github.com/googleapis/genai-toolbox/commit/4468bc920bbf27dce4ab160197587b7c12fcd20f))
* Add Dataplex source and tool ([#847](https://github.com/googleapis/genai-toolbox/issues/847)) ([30c16a5](https://github.com/googleapis/genai-toolbox/commit/30c16a559e8d49a9a717935269e69b97ec25519a))
* Add Looker source and tool ([#923](https://github.com/googleapis/genai-toolbox/issues/923)) ([c67e01b](https://github.com/googleapis/genai-toolbox/commit/c67e01bcf998e7b884be30ebb1fd277c89ed6ffc))
* Add support for null optional parameter ([#802](https://github.com/googleapis/genai-toolbox/issues/802)) ([a817b12](https://github.com/googleapis/genai-toolbox/commit/a817b120ca5e09ce80eb8d7544ebbe81fc28b082)), closes [#736](https://github.com/googleapis/genai-toolbox/issues/736)
* **prebuilt/alloydb-admin-config:** Add alloydb control plane as a prebuilt config ([#937](https://github.com/googleapis/genai-toolbox/issues/937)) ([0b28b72](https://github.com/googleapis/genai-toolbox/commit/0b28b72aa0ca2cdc87afbddbeb7f4dbb9688593d))
* **prebuilt/mysql,prebuilt/mssql:** Add generic mysql and mssql prebuilt tools ([#983](https://github.com/googleapis/genai-toolbox/issues/983)) ([c600c30](https://github.com/googleapis/genai-toolbox/commit/c600c30374443b6106c1f10b60cd334fd202789b))
* **server/mcp:** Support MCP version 2025-06-18 ([#898](https://github.com/googleapis/genai-toolbox/issues/898)) ([313d3ca](https://github.com/googleapis/genai-toolbox/commit/313d3ca0d084a3a6e7ac9a21a862aa31bf3edadd))
* **sources/mssql:** Add support for encrypt connection parameter ([#874](https://github.com/googleapis/genai-toolbox/issues/874)) ([14a868f](https://github.com/googleapis/genai-toolbox/commit/14a868f2a0780b94c2ca104419b2ff098778303b))
* **sources/firestore:** Add Firestore as Source ([#786](https://github.com/googleapis/genai-toolbox/issues/786)) ([2bb790e](https://github.com/googleapis/genai-toolbox/commit/2bb790e4f8194b677fe0ba40122d409d0e3e687e))
* **sources/mongodb:** Add MongoDB Source ([#969](https://github.com/googleapis/genai-toolbox/issues/969)) ([74dbd61](https://github.com/googleapis/genai-toolbox/commit/74dbd6124daab6192dd880dbd1d15f36861abf74))
* **tools/alloydb-wait-for-operation:** Add wait for operation tool with exponential backoff ([#920](https://github.com/googleapis/genai-toolbox/issues/920)) ([3f6ec29](https://github.com/googleapis/genai-toolbox/commit/3f6ec2944ede18ee02b10157cc048145bdaec87a))
* **tools/mongodb-aggregate:** Add MongoDB `aggregate` Tools ([#977](https://github.com/googleapis/genai-toolbox/issues/977)) ([bd399bb](https://github.com/googleapis/genai-toolbox/commit/bd399bb0fb7134469345ed9a1111ea4209440867))
* **tools/mongodb-delete:** Add MongoDB `delete` Tools ([#974](https://github.com/googleapis/genai-toolbox/issues/974)) ([78e9752](https://github.com/googleapis/genai-toolbox/commit/78e9752f620e065246f3e7b9d37062e492247c8a))
* **tools/mongodb-find:** Add MongoDB `find` Tools ([#970](https://github.com/googleapis/genai-toolbox/issues/970)) ([a747475](https://github.com/googleapis/genai-toolbox/commit/a7474752d8d7ea7af1e80a3c4533d2fd4154d897))
* **tools/mongodb-insert:** Add MongoDB `insert` Tools ([#975](https://github.com/googleapis/genai-toolbox/issues/975)) ([4c63f0c](https://github.com/googleapis/genai-toolbox/commit/4c63f0c1e402817a0c8fec611635e99290308d0e))
* **tools/mongodb-update:** Add MongoDB `update` Tools ([#972](https://github.com/googleapis/genai-toolbox/issues/972)) ([dfde52c](https://github.com/googleapis/genai-toolbox/commit/dfde52ca9a8e25e2f3944f52b4c2e307072b6c37))
* **tools/neo4j-execute-cypher:** Add neo4j-execute-cypher for Neo4j sources ([#946](https://github.com/googleapis/genai-toolbox/issues/946)) ([81d0505](https://github.com/googleapis/genai-toolbox/commit/81d05053b2e08338fd6eabe4849c309064f76b6b))
* **tools/neo4j-schema:** Add neo4j-schema tool ([#978](https://github.com/googleapis/genai-toolbox/issues/978)) ([be7db3d](https://github.com/googleapis/genai-toolbox/commit/be7db3dff263625ce64fdb726e81164996b7a708))
* **tools/wait:** Create wait for tool ([#885](https://github.com/googleapis/genai-toolbox/issues/885)) ([ed5ef4c](https://github.com/googleapis/genai-toolbox/commit/ed5ef4caea10ba1dbc49c0fc0a0d2b91cf341d3b))
### Bug Fixes
* Fix document preview pipeline for forked PRs ([#950](https://github.com/googleapis/genai-toolbox/issues/950)) ([481cc60](https://github.com/googleapis/genai-toolbox/commit/481cc608bae807d9e92497bc8863066916f7ef21))
* **prebuilt/firestore:** Mark database field as required in the firestore prebuilt tools ([#959](https://github.com/googleapis/genai-toolbox/issues/959)) ([15417d4](https://github.com/googleapis/genai-toolbox/commit/15417d4e0c7b173e81edbbeb672e53884d186104))
* **prebuilt/cloud-sql-mssql:** Correct source reference for execute_sql tool in cloud-sql-mssql.yaml prebuilt config ([#938](https://github.com/googleapis/genai-toolbox/issues/938)) ([d16728e](https://github.com/googleapis/genai-toolbox/commit/d16728e5c603eab37700876a6ddacbf709fd5823))
* **prebuilt/cloud-sql-mysql:** Update list_table tool ([#924](https://github.com/googleapis/genai-toolbox/issues/924)) ([2083ba5](https://github.com/googleapis/genai-toolbox/commit/2083ba50483951e9ee6101bb832aa68823cd96a5))
* Replace 'float' with 'number' in McpManifest ([#985](https://github.com/googleapis/genai-toolbox/issues/985)) ([59e23e1](https://github.com/googleapis/genai-toolbox/commit/59e23e17250a516e3931996114f32ac6526a4f8e))
* **server/api:** Add logger to context in tool invoke handler ([#891](https://github.com/googleapis/genai-toolbox/issues/891)) ([8ce311f](https://github.com/googleapis/genai-toolbox/commit/8ce311f256481e8f11ecb4aa505b95a562f394ef))
* **sources/looker:** Add agent tag to Looker API calls. ([#966](https://github.com/googleapis/genai-toolbox/issues/966)) ([f55dd6f](https://github.com/googleapis/genai-toolbox/commit/f55dd6fcd099f23bd89df62b268c4a53d16f3bac))
* **tools/bigquery-execute-sql:** Ensure invoke always returns a non-null value ([#925](https://github.com/googleapis/genai-toolbox/issues/925)) ([9a55b80](https://github.com/googleapis/genai-toolbox/commit/9a55b804821a6ccfcd157bcfaee7e599c4a5cb63))
* **tools/mysqlsql:** Unmarshal json data from database during invoke ([#979](https://github.com/googleapis/genai-toolbox/issues/979)) ([ccc3498](https://github.com/googleapis/genai-toolbox/commit/ccc3498cf0a4c43eb909e3850b9e6f582cd48f2a)), closes [#840](https://github.com/googleapis/genai-toolbox/issues/840)
## [0.9.0](https://github.com/googleapis/genai-toolbox/compare/v0.8.0...v0.9.0) (2025-07-11)

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@@ -114,7 +114,7 @@ To install Toolbox as a binary:
<!-- {x-release-please-start-version} -->
```sh
# see releases page for other versions
export VERSION=0.9.0
export VERSION=0.10.0
curl -O https://storage.googleapis.com/genai-toolbox/v$VERSION/linux/amd64/toolbox
chmod +x toolbox
```
@@ -127,12 +127,23 @@ You can also install Toolbox as a container:
```sh
# see releases page for other versions
export VERSION=0.9.0
export VERSION=0.10.0
docker pull us-central1-docker.pkg.dev/database-toolbox/toolbox/toolbox:$VERSION
```
</details>
<details>
<summary>Homebrew</summary>
To install Toolbox using Homebrew on macOS or Linux:
```sh
brew install mcp-toolbox
```
</details>
<details>
<summary>Compile from source</summary>
@@ -140,7 +151,7 @@ To install from source, ensure you have the latest version of
[Go installed](https://go.dev/doc/install), and then run the following command:
```sh
go install github.com/googleapis/genai-toolbox@v0.9.0
go install github.com/googleapis/genai-toolbox@v0.10.0
```
<!-- {x-release-please-end} -->
@@ -154,8 +165,18 @@ execute `toolbox` to start the server:
```sh
./toolbox --tools-file "tools.yaml"
```
> [!NOTE]
> Toolbox enables dynamic reloading by default. To disable, use the `--disable-reload` flag.
> Toolbox enables dynamic reloading by default. To disable, use the
> `--disable-reload` flag.
#### Homebrew Users
If you installed Toolbox using Homebrew, the `toolbox` binary is available in your system path. You can start the server with the same command:
```sh
toolbox --tools-file "tools.yaml"
```
You can use `toolbox help` for a full list of flags! To stop the server, send a
terminate signal (`ctrl+c` on most platforms).
@@ -490,6 +511,7 @@ For more detailed instructions on using the Toolbox Core SDK, see the
"github.com/firebase/genkit/go/ai"
"github.com/firebase/genkit/go/genkit"
"github.com/googleapis/mcp-toolbox-sdk-go/core"
"github.com/googleapis/mcp-toolbox-sdk-go/tbgenkit"
"github.com/invopop/jsonschema"
)
@@ -505,30 +527,12 @@ For more detailed instructions on using the Toolbox Core SDK, see the
// Framework agnostic tool
tool, err := client.LoadTool("toolName", ctx)
// Fetch the tool's input schema
inputschema, err := tool.InputSchema()
var schema *jsonschema.Schema
_ = json.Unmarshal(inputschema, &schema)
executeFn := func(ctx *ai.ToolContext, input any) (string, error) {
result, err := tool.Invoke(ctx, input.(map[string]any))
if err != nil {
// Propagate errors from the tool invocation.
return "", err
}
return result.(string), nil
}
// Convert the tool using the tbgenkit package
// Use this tool with Genkit Go
genkitTool := genkit.DefineToolWithInputSchema(
g,
tool.Name(),
tool.Description(),
schema,
executeFn,
)
genkitTool, err := tbgenkit.ToGenkitTool(tool, g)
if err != nil {
log.Fatalf("Failed to convert tool: %v\n", err)
}
}
```

20
cmd/BUILD Normal file
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@@ -0,0 +1,20 @@
load("//tools/build_defs/go:go_library.bzl", "go_library")
load("//tools/build_defs/go:go_test.bzl", "go_test")
go_library(
name = "cmd",
srcs = [
"options.go",
"root.go",
],
embedsrcs = ["version.txt"],
)
go_test(
name = "cmd_test",
srcs = [
"options_test.go",
"root_test.go",
],
library = ":cmd",
)

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@@ -51,19 +51,48 @@ import (
_ "github.com/googleapis/genai-toolbox/internal/tools/bigquery/bigquerysql"
_ "github.com/googleapis/genai-toolbox/internal/tools/bigtable"
_ "github.com/googleapis/genai-toolbox/internal/tools/couchbase"
_ "github.com/googleapis/genai-toolbox/internal/tools/dataplex/dataplexsearchentries"
_ "github.com/googleapis/genai-toolbox/internal/tools/dgraph"
_ "github.com/googleapis/genai-toolbox/internal/tools/firestore/firestoredeletedocuments"
_ "github.com/googleapis/genai-toolbox/internal/tools/firestore/firestoregetdocuments"
_ "github.com/googleapis/genai-toolbox/internal/tools/firestore/firestoregetrules"
_ "github.com/googleapis/genai-toolbox/internal/tools/firestore/firestorelistcollections"
_ "github.com/googleapis/genai-toolbox/internal/tools/firestore/firestorequerycollection"
_ "github.com/googleapis/genai-toolbox/internal/tools/firestore/firestorevalidaterules"
_ "github.com/googleapis/genai-toolbox/internal/tools/http"
_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookergetdimensions"
_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookergetexplores"
_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookergetfilters"
_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookergetlooks"
_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookergetmeasures"
_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookergetmodels"
_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookergetparameters"
_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookerquery"
_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookerquerysql"
_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookerrunlook"
_ "github.com/googleapis/genai-toolbox/internal/tools/mongodb/mongodbaggregate"
_ "github.com/googleapis/genai-toolbox/internal/tools/mongodb/mongodbdeletemany"
_ "github.com/googleapis/genai-toolbox/internal/tools/mongodb/mongodbdeleteone"
_ "github.com/googleapis/genai-toolbox/internal/tools/mongodb/mongodbfind"
_ "github.com/googleapis/genai-toolbox/internal/tools/mongodb/mongodbfindone"
_ "github.com/googleapis/genai-toolbox/internal/tools/mongodb/mongodbinsertmany"
_ "github.com/googleapis/genai-toolbox/internal/tools/mongodb/mongodbinsertone"
_ "github.com/googleapis/genai-toolbox/internal/tools/mongodb/mongodbupdatemany"
_ "github.com/googleapis/genai-toolbox/internal/tools/mongodb/mongodbupdateone"
_ "github.com/googleapis/genai-toolbox/internal/tools/mssql/mssqlexecutesql"
_ "github.com/googleapis/genai-toolbox/internal/tools/mssql/mssqlsql"
_ "github.com/googleapis/genai-toolbox/internal/tools/mysql/mysqlexecutesql"
_ "github.com/googleapis/genai-toolbox/internal/tools/mysql/mysqlsql"
_ "github.com/googleapis/genai-toolbox/internal/tools/neo4j"
_ "github.com/googleapis/genai-toolbox/internal/tools/neo4j/neo4jcypher"
_ "github.com/googleapis/genai-toolbox/internal/tools/neo4j/neo4jexecutecypher"
_ "github.com/googleapis/genai-toolbox/internal/tools/neo4j/neo4jschema"
_ "github.com/googleapis/genai-toolbox/internal/tools/postgres/postgresexecutesql"
_ "github.com/googleapis/genai-toolbox/internal/tools/postgres/postgressql"
_ "github.com/googleapis/genai-toolbox/internal/tools/redis"
_ "github.com/googleapis/genai-toolbox/internal/tools/spanner/spannerexecutesql"
_ "github.com/googleapis/genai-toolbox/internal/tools/spanner/spannersql"
_ "github.com/googleapis/genai-toolbox/internal/tools/sqlitesql"
_ "github.com/googleapis/genai-toolbox/internal/tools/utility/alloydbwaitforoperation"
_ "github.com/googleapis/genai-toolbox/internal/tools/utility/wait"
_ "github.com/googleapis/genai-toolbox/internal/tools/valkey"
@@ -76,8 +105,12 @@ import (
_ "github.com/googleapis/genai-toolbox/internal/sources/cloudsqlmysql"
_ "github.com/googleapis/genai-toolbox/internal/sources/cloudsqlpg"
_ "github.com/googleapis/genai-toolbox/internal/sources/couchbase"
_ "github.com/googleapis/genai-toolbox/internal/sources/dataplex"
_ "github.com/googleapis/genai-toolbox/internal/sources/dgraph"
_ "github.com/googleapis/genai-toolbox/internal/sources/firestore"
_ "github.com/googleapis/genai-toolbox/internal/sources/http"
_ "github.com/googleapis/genai-toolbox/internal/sources/looker"
_ "github.com/googleapis/genai-toolbox/internal/sources/mongodb"
_ "github.com/googleapis/genai-toolbox/internal/sources/mssql"
_ "github.com/googleapis/genai-toolbox/internal/sources/mysql"
_ "github.com/googleapis/genai-toolbox/internal/sources/neo4j"
@@ -183,7 +216,7 @@ func NewCommand(opts ...Option) *Command {
flags.BoolVar(&cmd.cfg.TelemetryGCP, "telemetry-gcp", false, "Enable exporting directly to Google Cloud Monitoring.")
flags.StringVar(&cmd.cfg.TelemetryOTLP, "telemetry-otlp", "", "Enable exporting using OpenTelemetry Protocol (OTLP) to the specified endpoint (e.g. 'http://127.0.0.1:4318')")
flags.StringVar(&cmd.cfg.TelemetryServiceName, "telemetry-service-name", "toolbox", "Sets the value of the service.name resource attribute for telemetry data.")
flags.StringVar(&cmd.prebuiltConfig, "prebuilt", "", "Use a prebuilt tool configuration by source type. Cannot be used with --tools-file. Allowed: 'alloydb-postgres', 'bigquery', 'cloud-sql-mysql', 'cloud-sql-postgres', 'cloud-sql-mssql', 'postgres', 'spanner', 'spanner-postgres'.")
flags.StringVar(&cmd.prebuiltConfig, "prebuilt", "", "Use a prebuilt tool configuration by source type. Cannot be used with --tools-file. Allowed: 'alloydb-postgres-admin', alloydb-postgres', 'bigquery', 'cloud-sql-mysql', 'cloud-sql-postgres', 'cloud-sql-mssql', 'dataplex', 'firestore', 'mssql', 'mysql', 'postgres', 'spanner', 'spanner-postgres'.")
flags.BoolVar(&cmd.cfg.Stdio, "stdio", false, "Listens via MCP STDIO instead of acting as a remote HTTP server.")
flags.BoolVar(&cmd.cfg.DisableReload, "disable-reload", false, "Disables dynamic reloading of tools file.")

View File

@@ -1161,11 +1161,17 @@ func TestSingleEdit(t *testing.T) {
}
func TestPrebuiltTools(t *testing.T) {
alloydb_admin_config, _ := prebuiltconfigs.Get("alloydb-postgres-admin")
alloydb_config, _ := prebuiltconfigs.Get("alloydb-postgres")
bigquery_config, _ := prebuiltconfigs.Get("bigquery")
cloudsqlpg_config, _ := prebuiltconfigs.Get("cloud-sql-postgres")
cloudsqlmysql_config, _ := prebuiltconfigs.Get("cloud-sql-mysql")
cloudsqlmssql_config, _ := prebuiltconfigs.Get("cloud-sql-mssql")
dataplex_config, _ := prebuiltconfigs.Get("dataplex")
firestoreconfig, _ := prebuiltconfigs.Get("firestore")
mysql_config, _ := prebuiltconfigs.Get("mysql")
mssql_config, _ := prebuiltconfigs.Get("mssql")
looker_config, _ := prebuiltconfigs.Get("looker")
postgresconfig, _ := prebuiltconfigs.Get("postgres")
spanner_config, _ := prebuiltconfigs.Get("spanner")
spannerpg_config, _ := prebuiltconfigs.Get("spanner-postgres")
@@ -1178,6 +1184,16 @@ func TestPrebuiltTools(t *testing.T) {
in []byte
wantToolset server.ToolsetConfigs
}{
{
name: "alloydb postgres admin prebuilt tools",
in: alloydb_admin_config,
wantToolset: server.ToolsetConfigs{
"alloydb-postgres-admin-tools": tools.ToolsetConfig{
Name: "alloydb-postgres-admin-tools",
ToolNames: []string{"alloydb-create-cluster", "alloydb-operations-get", "alloydb-create-instance"},
},
},
},
{
name: "alloydb prebuilt tools",
in: alloydb_config,
@@ -1228,6 +1244,56 @@ func TestPrebuiltTools(t *testing.T) {
},
},
},
{
name: "dataplex prebuilt tools",
in: dataplex_config,
wantToolset: server.ToolsetConfigs{
"dataplex-tools": tools.ToolsetConfig{
Name: "dataplex-tools",
ToolNames: []string{"dataplex_search_entries"},
},
},
},
{
name: "firestore prebuilt tools",
in: firestoreconfig,
wantToolset: server.ToolsetConfigs{
"firestore-database-tools": tools.ToolsetConfig{
Name: "firestore-database-tools",
ToolNames: []string{"firestore-get-documents", "firestore-list-collections", "firestore-delete-documents", "firestore-query-collection", "firestore-get-rules", "firestore-validate-rules"},
},
},
},
{
name: "mysql prebuilt tools",
in: mysql_config,
wantToolset: server.ToolsetConfigs{
"mysql-database-tools": tools.ToolsetConfig{
Name: "mysql-database-tools",
ToolNames: []string{"execute_sql", "list_tables"},
},
},
},
{
name: "mssql prebuilt tools",
in: mssql_config,
wantToolset: server.ToolsetConfigs{
"mssql-database-tools": tools.ToolsetConfig{
Name: "mssql-database-tools",
ToolNames: []string{"execute_sql", "list_tables"},
},
},
},
{
name: "looker prebuilt tools",
in: looker_config,
wantToolset: server.ToolsetConfigs{
"looker-tools": tools.ToolsetConfig{
Name: "looker-tools",
ToolNames: []string{"get_models", "get_explores", "get_dimensions", "get_measures", "get_filters", "get_parameters", "query", "query_sql", "get_looks", "run_look"},
},
},
},
{
name: "postgres prebuilt tools",
in: postgresconfig,

View File

@@ -1 +1 @@
0.9.0
0.10.0

View File

@@ -234,7 +234,7 @@
},
"outputs": [],
"source": [
"version = \"0.9.0\" # x-release-please-version\n",
"version = \"0.10.0\" # x-release-please-version\n",
"! curl -O https://storage.googleapis.com/genai-toolbox/v{version}/linux/amd64/toolbox\n",
"\n",
"# Make the binary executable\n",

View File

@@ -1,7 +1,7 @@
---
title: "Configuration"
type: docs
weight: 4
weight: 6
description: >
How to configure Toolbox's tools.yaml file.
---

View File

@@ -86,7 +86,7 @@ To install Toolbox as a binary:
```sh
# see releases page for other versions
export VERSION=0.9.0
export VERSION=0.10.0
curl -O https://storage.googleapis.com/genai-toolbox/v$VERSION/linux/amd64/toolbox
chmod +x toolbox
```
@@ -97,10 +97,17 @@ You can also install Toolbox as a container:
```sh
# see releases page for other versions
export VERSION=0.9.0
export VERSION=0.10.0
docker pull us-central1-docker.pkg.dev/database-toolbox/toolbox/toolbox:$VERSION
```
{{% /tab %}}
{{% tab header="Homebrew" lang="en" %}}
To install Toolbox using Homebrew on macOS or Linux:
```sh
brew install mcp-toolbox
```
{{% /tab %}}
{{% tab header="Compile from source" lang="en" %}}
@@ -108,7 +115,7 @@ To install from source, ensure you have the latest version of
[Go installed](https://go.dev/doc/install), and then run the following command:
```sh
go install github.com/googleapis/genai-toolbox@v0.9.0
go install github.com/googleapis/genai-toolbox@v0.10.0
```
{{% /tab %}}
@@ -123,10 +130,20 @@ execute `toolbox` to start the server:
```sh
./toolbox --tools-file "tools.yaml"
```
{{< notice note >}}
Toolbox enables dynamic reloading by default. To disable, use the `--disable-reload` flag.
Toolbox enables dynamic reloading by default. To disable, use the
`--disable-reload` flag.
{{< /notice >}}
#### Homebrew Users
If you installed Toolbox using Homebrew, the `toolbox` binary is available in your system path. You can start the server with the same command:
```sh
toolbox --tools-file "tools.yaml"
```
You can use `toolbox help` for a full list of flags! To stop the server, send a
terminate signal (`ctrl+c` on most platforms).
@@ -139,6 +156,7 @@ Once your server is up and running, you can load the tools into your
application. See below the list of Client SDKs for using various frameworks:
#### Python
{{< tabpane text=true persist=header >}}
{{% tab header="Core" lang="en" %}}
@@ -151,7 +169,7 @@ from toolbox_core import ToolboxClient
# update the url to point to your server
async with ToolboxClient("<http://127.0.0.1:5000>") as client:
async with ToolboxClient("http://127.0.0.1:5000") as client:
# these tools can be passed to your application!
tools = await client.load_toolset("toolset_name")
@@ -172,7 +190,7 @@ from toolbox_langchain import ToolboxClient
# update the url to point to your server
async with ToolboxClient("<http://127.0.0.1:5000>") as client:
async with ToolboxClient("http://127.0.0.1:5000") as client:
# these tools can be passed to your application!
tools = client.load_toolset()
@@ -193,7 +211,7 @@ from toolbox_llamaindex import ToolboxClient
# update the url to point to your server
async with ToolboxClient("<http://127.0.0.1:5000>") as client:
async with ToolboxClient("http://127.0.0.1:5000") as client:
# these tools can be passed to your application
@@ -421,6 +439,7 @@ import (
"github.com/firebase/genkit/go/ai"
"github.com/firebase/genkit/go/genkit"
"github.com/googleapis/mcp-toolbox-sdk-go/core"
"github.com/googleapis/mcp-toolbox-sdk-go/tbgenkit"
"github.com/invopop/jsonschema"
)
@@ -442,33 +461,12 @@ func main() {
log.Fatalf("Failed to load tools: %v", err)
}
// Fetch the tool's input schema
inputschema, err := tool.InputSchema()
// Convert the tool using the tbgenkit package
// Use this tool with Genkit Go
genkitTool, err := tbgenkit.ToGenkitTool(tool, g)
if err != nil {
log.Fatalf("Failed to fetch inputSchema: %v", err)
log.Fatalf("Failed to convert tool: %v\n", err)
}
var schema *jsonschema.Schema
_ = json.Unmarshal(inputschema, &schema)
executeFn := func(ctx *ai.ToolContext, input any) (string, error) {
result, err := tool.Invoke(ctx, input.(map[string]any))
if err != nil {
// Propagate errors from the tool invocation.
return "", err
}
return result.(string), nil
}
// Use this tool with Genkit Go
genkitTool := genkit.DefineToolWithInputSchema(
g,
tool.Name(),
tool.Description(),
schema,
executeFn,
)
}
{{< /highlight >}}
@@ -585,4 +583,6 @@ func main() {
For more detailed instructions on using the Toolbox Go SDK, see the
[project's README](https://github.com/googleapis/mcp-toolbox-sdk-go/blob/main/core/README.md).
For end-to-end samples on using the Toolbox Go SDK with orchestration frameworks, see the [project's samples](https://github.com/googleapis/mcp-toolbox-sdk-go/tree/main/core/samples)
For end-to-end samples on using the Toolbox Go SDK with orchestration
frameworks, see the [project's
samples](https://github.com/googleapis/mcp-toolbox-sdk-go/tree/main/core/samples)

View File

@@ -19,7 +19,9 @@ This guide assumes you have already done the following:
### Cloud Setup (Optional)
If you plan to use **Google Clouds Vertex AI** with your agent (e.g., using `vertexai=True` or a Google GenAI model), follow these one-time setup steps for local development:
If you plan to use **Google Clouds Vertex AI** with your agent (e.g., using
`vertexai=True` or a Google GenAI model), follow these one-time setup steps for
local development:
1. [Install the Google Cloud CLI](https://cloud.google.com/sdk/docs/install)
1. [Set up Application Default Credentials (ADC)](https://cloud.google.com/docs/authentication/set-up-adc-local-dev-environment)
@@ -154,7 +156,6 @@ postgres` and a password next time.
\q
```
## Step 2: Install and configure Toolbox
In this section, we will download Toolbox, configure our tools in a
@@ -170,7 +171,7 @@ In this section, we will download Toolbox, configure our tools in a
<!-- {x-release-please-start-version} -->
```bash
export OS="linux/amd64" # one of linux/amd64, darwin/arm64, darwin/amd64, or windows/amd64
curl -O https://storage.googleapis.com/genai-toolbox/v0.9.0/$OS/toolbox
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/$OS/toolbox
```
<!-- {x-release-please-end} -->
@@ -271,8 +272,10 @@ In this section, we will download Toolbox, configure our tools in a
```bash
./toolbox --tools-file "tools.yaml"
```
{{< notice note >}}
Toolbox enables dynamic reloading by default. To disable, use the `--disable-reload` flag.
Toolbox enables dynamic reloading by default. To disable, use the
`--disable-reload` flag.
{{< /notice >}}
## Step 3: Connect your agent to Toolbox

View File

@@ -0,0 +1,927 @@
---
title: "Go Quickstart (Local)"
type: docs
weight: 4
description: >
How to get started running Toolbox locally with [Go](https://github.com/googleapis/mcp-toolbox-sdk-go), PostgreSQL, and orchestration frameworks such as [LangChain Go](https://tmc.github.io/langchaingo/docs/), [GenkitGo](https://genkit.dev/go/docs/get-started-go/), [Go GenAI](https://github.com/googleapis/go-genai) and [OpenAI Go](https://github.com/openai/openai-go).
---
## Before you begin
This guide assumes you have already done the following:
1. Installed [Go (v1.24.2 or higher)].
1. Installed [PostgreSQL 16+ and the `psql` client][install-postgres].
### Cloud Setup (Optional)
If you plan to use **Google Clouds Vertex AI** with your agent (e.g., using
Gemini or PaLM models), follow these one-time setup steps:
1. [Install the Google Cloud CLI]
1. [Set up Application Default Credentials (ADC)]
1. Set your project and enable Vertex AI
```bash
gcloud config set project YOUR_PROJECT_ID
gcloud services enable aiplatform.googleapis.com
```
[Go (v1.24.2 or higher)]: https://go.dev/doc/install
[install-postgres]: https://www.postgresql.org/download/
[Install the Google Cloud CLI]: https://cloud.google.com/sdk/docs/install
[Set up Application Default Credentials (ADC)]:
https://cloud.google.com/docs/authentication/set-up-adc-local-dev-environment
## Step 1: Set up your database
In this section, we will create a database, insert some data that needs to be
accessed by our agent, and create a database user for Toolbox to connect with.
1. Connect to postgres using the `psql` command:
```bash
psql -h 127.0.0.1 -U postgres
```
Here, `postgres` denotes the default postgres superuser.
{{< notice info >}}
#### **Having trouble connecting?**
* **Password Prompt:** If you are prompted for a password for the `postgres`
user and do not know it (or a blank password doesn't work), your PostgreSQL
installation might require a password or a different authentication method.
* **`FATAL: role "postgres" does not exist`:** This error means the default
`postgres` superuser role isn't available under that name on your system.
* **`Connection refused`:** Ensure your PostgreSQL server is actually running.
You can typically check with `sudo systemctl status postgresql` and start it
with `sudo systemctl start postgresql` on Linux systems.
<br/>
#### **Common Solution**
For password issues or if the `postgres` role seems inaccessible directly, try
switching to the `postgres` operating system user first. This user often has
permission to connect without a password for local connections (this is called
peer authentication).
```bash
sudo -i -u postgres
psql -h 127.0.0.1
```
Once you are in the `psql` shell using this method, you can proceed with the
database creation steps below. Afterwards, type `\q` to exit `psql`, and then
`exit` to return to your normal user shell.
If desired, once connected to `psql` as the `postgres` OS user, you can set a
password for the `postgres` *database* user using: `ALTER USER postgres WITH
PASSWORD 'your_chosen_password';`. This would allow direct connection with `-U
postgres` and a password next time.
{{< /notice >}}
1. Create a new database and a new user:
{{< notice tip >}}
For a real application, it's best to follow the principle of least permission
and only grant the privileges your application needs.
{{< /notice >}}
```sql
CREATE USER toolbox_user WITH PASSWORD 'my-password';
CREATE DATABASE toolbox_db;
GRANT ALL PRIVILEGES ON DATABASE toolbox_db TO toolbox_user;
ALTER DATABASE toolbox_db OWNER TO toolbox_user;
```
1. End the database session:
```bash
\q
```
(If you used `sudo -i -u postgres` and then `psql`, remember you might also
need to type `exit` after `\q` to leave the `postgres` user's shell
session.)
1. Connect to your database with your new user:
```bash
psql -h 127.0.0.1 -U toolbox_user -d toolbox_db
```
1. Create a table using the following command:
```sql
CREATE TABLE hotels(
id INTEGER NOT NULL PRIMARY KEY,
name VARCHAR NOT NULL,
location VARCHAR NOT NULL,
price_tier VARCHAR NOT NULL,
checkin_date DATE NOT NULL,
checkout_date DATE NOT NULL,
booked BIT NOT NULL
);
```
1. Insert data into the table.
```sql
INSERT INTO hotels(id, name, location, price_tier, checkin_date, checkout_date, booked)
VALUES
(1, 'Hilton Basel', 'Basel', 'Luxury', '2024-04-22', '2024-04-20', B'0'),
(2, 'Marriott Zurich', 'Zurich', 'Upscale', '2024-04-14', '2024-04-21', B'0'),
(3, 'Hyatt Regency Basel', 'Basel', 'Upper Upscale', '2024-04-02', '2024-04-20', B'0'),
(4, 'Radisson Blu Lucerne', 'Lucerne', 'Midscale', '2024-04-24', '2024-04-05', B'0'),
(5, 'Best Western Bern', 'Bern', 'Upper Midscale', '2024-04-23', '2024-04-01', B'0'),
(6, 'InterContinental Geneva', 'Geneva', 'Luxury', '2024-04-23', '2024-04-28', B'0'),
(7, 'Sheraton Zurich', 'Zurich', 'Upper Upscale', '2024-04-27', '2024-04-02', B'0'),
(8, 'Holiday Inn Basel', 'Basel', 'Upper Midscale', '2024-04-24', '2024-04-09', B'0'),
(9, 'Courtyard Zurich', 'Zurich', 'Upscale', '2024-04-03', '2024-04-13', B'0'),
(10, 'Comfort Inn Bern', 'Bern', 'Midscale', '2024-04-04', '2024-04-16', B'0');
```
1. End the database session:
```bash
\q
```
## Step 2: Install and configure Toolbox
In this section, we will download Toolbox, configure our tools in a
`tools.yaml`, and then run the Toolbox server.
1. Download the latest version of Toolbox as a binary:
{{< notice tip >}}
Select the
[correct binary](https://github.com/googleapis/genai-toolbox/releases)
corresponding to your OS and CPU architecture.
{{< /notice >}}
<!-- {x-release-please-start-version} -->
```bash
export OS="linux/amd64" # one of linux/amd64, darwin/arm64, darwin/amd64, or windows/amd64
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/$OS/toolbox
```
<!-- {x-release-please-end} -->
1. Make the binary executable:
```bash
chmod +x toolbox
```
1. Write the following into a `tools.yaml` file. Be sure to update any fields
such as `user`, `password`, or `database` that you may have customized in the
previous step.
{{< notice tip >}}
In practice, use environment variable replacement with the format ${ENV_NAME}
instead of hardcoding your secrets into the configuration file.
{{< /notice >}}
```yaml
sources:
my-pg-source:
kind: postgres
host: 127.0.0.1
port: 5432
database: toolbox_db
user: ${USER_NAME}
password: ${PASSWORD}
tools:
search-hotels-by-name:
kind: postgres-sql
source: my-pg-source
description: Search for hotels based on name.
parameters:
- name: name
type: string
description: The name of the hotel.
statement: SELECT * FROM hotels WHERE name ILIKE '%' || $1 || '%';
search-hotels-by-location:
kind: postgres-sql
source: my-pg-source
description: Search for hotels based on location.
parameters:
- name: location
type: string
description: The location of the hotel.
statement: SELECT * FROM hotels WHERE location ILIKE '%' || $1 || '%';
book-hotel:
kind: postgres-sql
source: my-pg-source
description: >-
Book a hotel by its ID. If the hotel is successfully booked, returns a NULL, raises an error if not.
parameters:
- name: hotel_id
type: string
description: The ID of the hotel to book.
statement: UPDATE hotels SET booked = B'1' WHERE id = $1;
update-hotel:
kind: postgres-sql
source: my-pg-source
description: >-
Update a hotel's check-in and check-out dates by its ID. Returns a message
indicating whether the hotel was successfully updated or not.
parameters:
- name: hotel_id
type: string
description: The ID of the hotel to update.
- name: checkin_date
type: string
description: The new check-in date of the hotel.
- name: checkout_date
type: string
description: The new check-out date of the hotel.
statement: >-
UPDATE hotels SET checkin_date = CAST($2 as date), checkout_date = CAST($3
as date) WHERE id = $1;
cancel-hotel:
kind: postgres-sql
source: my-pg-source
description: Cancel a hotel by its ID.
parameters:
- name: hotel_id
type: string
description: The ID of the hotel to cancel.
statement: UPDATE hotels SET booked = B'0' WHERE id = $1;
toolsets:
my-toolset:
- search-hotels-by-name
- search-hotels-by-location
- book-hotel
- update-hotel
- cancel-hotel
```
For more info on tools, check out the `Resources` section of the docs.
1. Run the Toolbox server, pointing to the `tools.yaml` file created earlier:
```bash
./toolbox --tools-file "tools.yaml"
```
{{< notice note >}}
Toolbox enables dynamic reloading by default. To disable, use the
`--disable-reload` flag.
{{< /notice >}}
## Step 3: Connect your agent to Toolbox
In this section, we will write and run an agent that will load the Tools
from Toolbox.
1. Initialize a go module:
```bash
go mod init main
```
1. In a new terminal, install the
[SDK](https://pkg.go.dev/github.com/googleapis/mcp-toolbox-sdk-go).
```bash
go get github.com/googleapis/mcp-toolbox-sdk-go
```
1. Create a new file named `hotelagent.go` and copy the following code to create
an agent:
{{< tabpane persist=header >}}
{{< tab header="LangChain Go" lang="go" >}}
package main
import (
"context"
"encoding/json"
"fmt"
"log"
"os"
"github.com/googleapis/mcp-toolbox-sdk-go/core"
"github.com/tmc/langchaingo/llms"
"github.com/tmc/langchaingo/llms/googleai"
)
// ConvertToLangchainTool converts a generic core.ToolboxTool into a LangChainGo llms.Tool.
func ConvertToLangchainTool(toolboxTool *core.ToolboxTool) llms.Tool {
// Fetch the tool's input schema
inputschema, err := toolboxTool.InputSchema()
if err != nil {
return llms.Tool{}
}
var paramsSchema map[string]any
_ = json.Unmarshal(inputschema, &paramsSchema)
// Convert into LangChain's llms.Tool
return llms.Tool{
Type: "function",
Function: &llms.FunctionDefinition{
Name: toolboxTool.Name(),
Description: toolboxTool.Description(),
Parameters: paramsSchema,
},
}
}
const systemPrompt = `
You're a helpful hotel assistant. You handle hotel searching, booking, and
cancellations. When the user searches for a hotel, mention its name, id,
location and price tier. Always mention hotel ids while performing any
searches. This is very important for any operations. For any bookings or
cancellations, please provide the appropriate confirmation. Be sure to
update checkin or checkout dates if mentioned by the user.
Don't ask for confirmations from the user.
`
var queries = []string{
"Find hotels in Basel with Basel in its name.",
"Can you book the hotel Hilton Basel for me?",
"Oh wait, this is too expensive. Please cancel it.",
"Please book the Hyatt Regency instead.",
"My check in dates would be from April 10, 2024 to April 19, 2024.",
}
func main() {
genaiKey := os.Getenv("GOOGLE_API_KEY")
toolboxURL := "http://localhost:5000"
ctx := context.Background()
// Initialize the Google AI client (LLM).
llm, err := googleai.New(ctx, googleai.WithAPIKey(genaiKey), googleai.WithDefaultModel("gemini-1.5-flash"))
if err != nil {
log.Fatalf("Failed to create Google AI client: %v", err)
}
// Initialize the MCP Toolbox client.
toolboxClient, err := core.NewToolboxClient(toolboxURL)
if err != nil {
log.Fatalf("Failed to create Toolbox client: %v", err)
}
// Load the tool using the MCP Toolbox SDK.
tools, err := toolboxClient.LoadToolset("my-toolset", ctx)
if err != nil {
log.Fatalf("Failed to load tools: %v\nMake sure your Toolbox server is running and the tool is configured.", err)
}
toolsMap := make(map[string]*core.ToolboxTool, len(tools))
langchainTools := make([]llms.Tool, len(tools))
// Convert the loaded ToolboxTools into the format LangChainGo requires.
for i, tool := range tools {
langchainTools[i] = ConvertToLangchainTool(tool)
toolsMap[tool.Name()] = tool
}
// Start the conversation history.
messageHistory := []llms.MessageContent{
llms.TextParts(llms.ChatMessageTypeSystem, systemPrompt),
}
for _, query := range queries {
messageHistory = append(messageHistory, llms.TextParts(llms.ChatMessageTypeHuman, query))
// Make the first call to the LLM, making it aware of the tool.
resp, err := llm.GenerateContent(ctx, messageHistory, llms.WithTools(langchainTools))
if err != nil {
log.Fatalf("LLM call failed: %v", err)
}
respChoice := resp.Choices[0]
assistantResponse := llms.TextParts(llms.ChatMessageTypeAI, respChoice.Content)
for _, tc := range respChoice.ToolCalls {
assistantResponse.Parts = append(assistantResponse.Parts, tc)
}
messageHistory = append(messageHistory, assistantResponse)
// Process each tool call requested by the model.
for _, tc := range respChoice.ToolCalls {
toolName := tc.FunctionCall.Name
tool := toolsMap[toolName]
var args map[string]any
if err := json.Unmarshal([]byte(tc.FunctionCall.Arguments), &args); err != nil {
log.Fatalf("Failed to unmarshal arguments for tool '%s': %v", toolName, err)
}
toolResult, err := tool.Invoke(ctx, args)
if err != nil {
log.Fatalf("Failed to execute tool '%s': %v", toolName, err)
}
if toolResult == "" || toolResult == nil {
toolResult = "Operation completed successfully with no specific return value."
}
// Create the tool call response message and add it to the history.
toolResponse := llms.MessageContent{
Role: llms.ChatMessageTypeTool,
Parts: []llms.ContentPart{
llms.ToolCallResponse{
Name: toolName,
Content: fmt.Sprintf("%v", toolResult),
},
},
}
messageHistory = append(messageHistory, toolResponse)
}
finalResp, err := llm.GenerateContent(ctx, messageHistory)
if err != nil {
log.Fatalf("Final LLM call failed after tool execution: %v", err)
}
// Add the final textual response from the LLM to the history
messageHistory = append(messageHistory, llms.TextParts(llms.ChatMessageTypeAI, finalResp.Choices[0].Content))
fmt.Println(finalResp.Choices[0].Content)
}
}
{{< /tab >}}
{{< tab header="Genkit Go" lang="go" >}}
package main
import (
"context"
"fmt"
"log"
"github.com/googleapis/mcp-toolbox-sdk-go/core"
"github.com/googleapis/mcp-toolbox-sdk-go/tbgenkit"
"github.com/firebase/genkit/go/ai"
"github.com/firebase/genkit/go/genkit"
"github.com/firebase/genkit/go/plugins/googlegenai"
)
const systemPrompt = `
You're a helpful hotel assistant. You handle hotel searching, booking, and
cancellations. When the user searches for a hotel, mention its name, id,
location and price tier. Always mention hotel ids while performing any
searches. This is very important for any operations. For any bookings or
cancellations, please provide the appropriate confirmation. Be sure to
update checkin or checkout dates if mentioned by the user.
Don't ask for confirmations from the user.
`
var queries = []string{
"Find hotels in Basel with Basel in its name.",
"Can you book the hotel Hilton Basel for me?",
"Oh wait, this is too expensive. Please cancel it and book the Hyatt Regency instead.",
"My check in dates would be from April 10, 2024 to April 19, 2024.",
}
func main() {
ctx := context.Background()
// Create Toolbox Client
toolboxClient, err := core.NewToolboxClient("http://127.0.0.1:5000")
if err != nil {
log.Fatalf("Failed to create Toolbox client: %v", err)
}
// Load the tools using the MCP Toolbox SDK.
tools, err := toolboxClient.LoadToolset("my-toolset", ctx)
if err != nil {
log.Fatalf("Failed to load tools: %v\nMake sure your Toolbox server is running and the tool is configured.", err)
}
// Initialize Genkit
g, err := genkit.Init(ctx,
genkit.WithPlugins(&googlegenai.GoogleAI{}),
genkit.WithDefaultModel("googleai/gemini-1.5-flash"),
)
if err != nil {
log.Fatalf("Failed to init genkit: %v\n", err)
}
// Create a conversation history
conversationHistory := []*ai.Message{
ai.NewSystemTextMessage(systemPrompt),
}
// Convert your tool to a Genkit tool.
genkitTools := make([]ai.Tool, len(tools))
for i, tool := range tools {
newTool, err := tbgenkit.ToGenkitTool(tool, g)
if err != nil {
log.Fatalf("Failed to convert tool: %v\n", err)
}
genkitTools[i] = newTool
}
toolRefs := make([]ai.ToolRef, len(genkitTools))
for i, tool := range genkitTools {
toolRefs[i] = tool
}
for _, query := range queries {
conversationHistory = append(conversationHistory, ai.NewUserTextMessage(query))
response, err := genkit.Generate(ctx, g,
ai.WithMessages(conversationHistory...),
ai.WithTools(toolRefs...),
ai.WithReturnToolRequests(true),
)
if err != nil {
log.Fatalf("%v\n", err)
}
conversationHistory = append(conversationHistory, response.Message)
parts := []*ai.Part{}
for _, req := range response.ToolRequests() {
tool := genkit.LookupTool(g, req.Name)
if tool == nil {
log.Fatalf("tool %q not found", req.Name)
}
output, err := tool.RunRaw(ctx, req.Input)
if err != nil {
log.Fatalf("tool %q execution failed: %v", tool.Name(), err)
}
parts = append(parts,
ai.NewToolResponsePart(&ai.ToolResponse{
Name: req.Name,
Ref: req.Ref,
Output: output,
}))
}
if len(parts) > 0 {
resp, err := genkit.Generate(ctx, g,
ai.WithMessages(append(response.History(), ai.NewMessage(ai.RoleTool, nil, parts...))...),
ai.WithTools(toolRefs...),
)
if err != nil {
log.Fatal(err)
}
fmt.Println("\n", resp.Text())
conversationHistory = append(conversationHistory, resp.Message)
} else {
fmt.Println("\n", response.Text())
}
}
}
{{< /tab >}}
{{< tab header="Go GenAI" lang="go" >}}
package main
import (
"context"
"encoding/json"
"fmt"
"log"
"os"
"github.com/googleapis/mcp-toolbox-sdk-go/core"
"google.golang.org/genai"
)
// ConvertToGenaiTool translates a ToolboxTool into the genai.FunctionDeclaration format.
func ConvertToGenaiTool(toolboxTool *core.ToolboxTool) *genai.Tool {
inputschema, err := toolboxTool.InputSchema()
if err != nil {
return &genai.Tool{}
}
var paramsSchema *genai.Schema
_ = json.Unmarshal(inputschema, &paramsSchema)
// First, create the function declaration.
funcDeclaration := &genai.FunctionDeclaration{
Name: toolboxTool.Name(),
Description: toolboxTool.Description(),
Parameters: paramsSchema,
}
// Then, wrap the function declaration in a genai.Tool struct.
return &genai.Tool{
FunctionDeclarations: []*genai.FunctionDeclaration{funcDeclaration},
}
}
func printResponse(resp *genai.GenerateContentResponse) {
for _, cand := range resp.Candidates {
if cand.Content != nil {
for _, part := range cand.Content.Parts {
fmt.Println(part.Text)
}
}
}
}
const systemPrompt = `
You're a helpful hotel assistant. You handle hotel searching, booking, and
cancellations. When the user searches for a hotel, mention its name, id,
location and price tier. Always mention hotel ids while performing any
searches. This is very important for any operations. For any bookings or
cancellations, please provide the appropriate confirmation. Be sure to
update checkin or checkout dates if mentioned by the user.
Don't ask for confirmations from the user.
`
var queries = []string{
"Find hotels in Basel with Basel in its name.",
"Can you book the hotel Hilton Basel for me?",
"Oh wait, this is too expensive. Please cancel it.",
"Please book the Hyatt Regency instead.",
"My check in dates would be from April 10, 2024 to April 19, 2024.",
}
func main() {
// Setup
ctx := context.Background()
apiKey := os.Getenv("GOOGLE_API_KEY")
toolboxURL := "http://localhost:5000"
// Initialize the Google GenAI client using the explicit ClientConfig.
client, err := genai.NewClient(ctx, &genai.ClientConfig{
APIKey: apiKey,
})
if err != nil {
log.Fatalf("Failed to create Google GenAI client: %v", err)
}
// Initialize the MCP Toolbox client.
toolboxClient, err := core.NewToolboxClient(toolboxURL)
if err != nil {
log.Fatalf("Failed to create Toolbox client: %v", err)
}
// Load the tool using the MCP Toolbox SDK.
tools, err := toolboxClient.LoadToolset("my-toolset", ctx)
if err != nil {
log.Fatalf("Failed to load tools: %v\nMake sure your Toolbox server is running and the tool is configured.", err)
}
genAITools := make([]*genai.Tool, len(tools))
toolsMap := make(map[string]*core.ToolboxTool, len(tools))
for i, tool := range tools {
genAITools[i] = ConvertToGenaiTool(tool)
toolsMap[tool.Name()] = tool
}
// Set up the generative model with the available tool.
modelName := "gemini-2.0-flash"
// Create the initial content prompt for the model.
messageHistory := []*genai.Content{
genai.NewContentFromText(systemPrompt, genai.RoleUser),
}
config := &genai.GenerateContentConfig{
Tools: genAITools,
ToolConfig: &genai.ToolConfig{
FunctionCallingConfig: &genai.FunctionCallingConfig{
Mode: genai.FunctionCallingConfigModeAny,
},
},
}
for _, query := range queries {
messageHistory = append(messageHistory, genai.NewContentFromText(query, genai.RoleUser))
genContentResp, err := client.Models.GenerateContent(ctx, modelName, messageHistory, config)
if err != nil {
log.Fatalf("LLM call failed for query '%s': %v", query, err)
}
if len(genContentResp.Candidates) > 0 && genContentResp.Candidates[0].Content != nil {
messageHistory = append(messageHistory, genContentResp.Candidates[0].Content)
}
functionCalls := genContentResp.FunctionCalls()
toolResponseParts := []*genai.Part{}
for _, fc := range functionCalls {
toolToInvoke, found := toolsMap[fc.Name]
if !found {
log.Fatalf("Tool '%s' not found in loaded tools map. Check toolset configuration.", fc.Name)
}
toolResult, invokeErr := toolToInvoke.Invoke(ctx, fc.Args)
if invokeErr != nil {
log.Fatalf("Failed to execute tool '%s': %v", fc.Name, invokeErr)
}
// Enhanced Tool Result Handling (retained to prevent nil issues)
toolResultString := ""
if toolResult != nil {
jsonBytes, marshalErr := json.Marshal(toolResult)
if marshalErr == nil {
toolResultString = string(jsonBytes)
} else {
toolResultString = fmt.Sprintf("%v", toolResult)
}
}
responseMap := map[string]any{"result": toolResultString}
toolResponseParts = append(toolResponseParts, genai.NewPartFromFunctionResponse(fc.Name, responseMap))
}
// Add all accumulated tool responses for this turn to the message history.
toolResponseContent := genai.NewContentFromParts(toolResponseParts, "function")
messageHistory = append(messageHistory, toolResponseContent)
finalResponse, err := client.Models.GenerateContent(ctx, modelName, messageHistory, &genai.GenerateContentConfig{})
if err != nil {
log.Fatalf("Error calling GenerateContent (with function result): %v", err)
}
printResponse(finalResponse)
// Add the final textual response from the LLM to the history
if len(finalResponse.Candidates) > 0 && finalResponse.Candidates[0].Content != nil {
messageHistory = append(messageHistory, finalResponse.Candidates[0].Content)
}
}
}
{{< /tab >}}
{{< tab header="OpenAI Go" lang="go" >}}
package main
import (
"context"
"encoding/json"
"log"
"github.com/googleapis/mcp-toolbox-sdk-go/core"
openai "github.com/openai/openai-go"
)
// ConvertToOpenAITool converts a ToolboxTool into the go-openai library's Tool format.
func ConvertToOpenAITool(toolboxTool *core.ToolboxTool) openai.ChatCompletionToolParam {
// Get the input schema
jsonSchemaBytes, err := toolboxTool.InputSchema()
if err != nil {
return openai.ChatCompletionToolParam{}
}
// Unmarshal the JSON bytes into FunctionParameters
var paramsSchema openai.FunctionParameters
if err := json.Unmarshal(jsonSchemaBytes, &paramsSchema); err != nil {
return openai.ChatCompletionToolParam{}
}
// Create and return the final tool parameter struct.
return openai.ChatCompletionToolParam{
Function: openai.FunctionDefinitionParam{
Name: toolboxTool.Name(),
Description: openai.String(toolboxTool.Description()),
Parameters: paramsSchema,
},
}
}
const systemPrompt = `
You're a helpful hotel assistant. You handle hotel searching, booking, and
cancellations. When the user searches for a hotel, mention its name, id,
location and price tier. Always mention hotel ids while performing any
searches. This is very important for any operations. For any bookings or
cancellations, please provide the appropriate confirmation. Be sure to
update checkin or checkout dates if mentioned by the user.
Don't ask for confirmations from the user.
`
var queries = []string{
"Find hotels in Basel with Basel in its name.",
"Can you book the hotel Hilton Basel for me?",
"Oh wait, this is too expensive. Please cancel it and book the Hyatt Regency instead.",
"My check in dates would be from April 10, 2024 to April 19, 2024.",
}
func main() {
// Setup
ctx := context.Background()
toolboxURL := "http://localhost:5000"
openAIClient := openai.NewClient()
// Initialize the MCP Toolbox client.
toolboxClient, err := core.NewToolboxClient(toolboxURL)
if err != nil {
log.Fatalf("Failed to create Toolbox client: %v", err)
}
// Load the tools using the MCP Toolbox SDK.
tools, err := toolboxClient.LoadToolset("my-toolset", ctx)
if err != nil {
log.Fatalf("Failed to load tool : %v\nMake sure your Toolbox server is running and the tool is configured.", err)
}
openAITools := make([]openai.ChatCompletionToolParam, len(tools))
toolsMap := make(map[string]*core.ToolboxTool, len(tools))
for i, tool := range tools {
// Convert the Toolbox tool into the openAI FunctionDeclaration format.
openAITools[i] = ConvertToOpenAITool(tool)
// Add tool to a map for lookup later
toolsMap[tool.Name()] = tool
}
params := openai.ChatCompletionNewParams{
Messages: []openai.ChatCompletionMessageParamUnion{
openai.SystemMessage(systemPrompt),
},
Tools: openAITools,
Seed: openai.Int(0),
Model: openai.ChatModelGPT4o,
}
for _, query := range queries {
params.Messages = append(params.Messages, openai.UserMessage(query))
// Make initial chat completion request
completion, err := openAIClient.Chat.Completions.New(ctx, params)
if err != nil {
panic(err)
}
toolCalls := completion.Choices[0].Message.ToolCalls
// Return early if there are no tool calls
if len(toolCalls) == 0 {
log.Println("No function call")
}
// If there is a was a function call, continue the conversation
params.Messages = append(params.Messages, completion.Choices[0].Message.ToParam())
for _, toolCall := range toolCalls {
toolName := toolCall.Function.Name
toolToInvoke := toolsMap[toolName]
var args map[string]any
err := json.Unmarshal([]byte(toolCall.Function.Arguments), &args)
if err != nil {
panic(err)
}
result, err := toolToInvoke.Invoke(ctx, args)
if err != nil {
log.Fatal("Could not invoke tool", err)
}
params.Messages = append(params.Messages, openai.ToolMessage(result.(string), toolCall.ID))
}
completion, err = openAIClient.Chat.Completions.New(ctx, params)
if err != nil {
panic(err)
}
params.Messages = append(params.Messages, openai.AssistantMessage(query))
println("\n", completion.Choices[0].Message.Content)
}
}
{{< /tab >}}
{{< /tabpane >}}
1. Ensure all dependencies are installed:
```sh
go mod tidy
```
1. Run your agent, and observe the results:
```sh
go run hotelagent.go
```
{{< notice info >}}
For more information, visit the [Go SDK
repo](https://github.com/googleapis/mcp-toolbox-sdk-go).
{{</ notice >}}

View File

@@ -3,7 +3,7 @@ title: "JS Quickstart (Local)"
type: docs
weight: 3
description: >
How to get started running Toolbox locally with [JavaScript](https://github.com/googleapis/mcp-toolbox-sdk-python), PostgreSQL, and orchestration frameworks such as [LangChain](https://js.langchain.com/docs/introduction/) and [GenkitJS](https://genkit.dev/docs/get-started/).
How to get started running Toolbox locally with [JavaScript](https://github.com/googleapis/mcp-toolbox-sdk-js), PostgreSQL, and orchestration frameworks such as [LangChain](https://js.langchain.com/docs/introduction/), [GenkitJS](https://genkit.dev/docs/get-started/), and [LlamaIndex](https://ts.llamaindex.ai/).
---
## Before you begin
@@ -15,7 +15,8 @@ This guide assumes you have already done the following:
### Cloud Setup (Optional)
If you plan to use **Google Clouds Vertex AI** with your agent (e.g., using Gemini or PaLM models), follow these one-time setup steps:
If you plan to use **Google Clouds Vertex AI** with your agent (e.g., using
Gemini or PaLM models), follow these one-time setup steps:
1. [Install the Google Cloud CLI]
1. [Set up Application Default Credentials (ADC)]
@@ -29,8 +30,8 @@ If you plan to use **Google Clouds Vertex AI** with your agent (e.g., using G
[Node.js (v18 or higher)]: https://nodejs.org/
[install-postgres]: https://www.postgresql.org/download/
[Install the Google Cloud CLI]: https://cloud.google.com/sdk/docs/install
[Set up Application Default Credentials (ADC)]: https://cloud.google.com/docs/authentication/set-up-adc-local-dev-environment
[Set up Application Default Credentials (ADC)]:
https://cloud.google.com/docs/authentication/set-up-adc-local-dev-environment
## Step 1: Set up your database
@@ -166,7 +167,7 @@ In this section, we will download Toolbox, configure our tools in a
<!-- {x-release-please-start-version} -->
```bash
export OS="linux/amd64" # one of linux/amd64, darwin/arm64, darwin/amd64, or windows/amd64
curl -O https://storage.googleapis.com/genai-toolbox/v0.9.0/$OS/toolbox
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/$OS/toolbox
```
<!-- {x-release-please-end} -->
@@ -267,6 +268,7 @@ In this section, we will download Toolbox, configure our tools in a
```bash
./toolbox --tools-file "tools.yaml"
```
{{< notice note >}}
Toolbox enables dynamic reloading by default. To disable, use the `--disable-reload` flag.
{{< /notice >}}
@@ -285,7 +287,7 @@ from Toolbox.
1. In a new terminal, install the [SDK](https://www.npmjs.com/package/@toolbox-sdk/core).
```bash
npm install langchain @toolbox-sdk/core
npm install @toolbox-sdk/core
```
1. Install other required dependencies
@@ -297,6 +299,9 @@ npm install langchain @langchain/google-vertexai
{{< tab header="GenkitJS" lang="bash" >}}
npm install genkit @genkit-ai/vertexai
{{< /tab >}}
{{< tab header="LlamaIndex" lang="bash" >}}
npm install llamaindex @llamaindex/google @llamaindex/workflow
{{< /tab >}}
{{< /tabpane >}}
1. Create a new file named `hotelAgent.js` and copy the following code to create an agent:
@@ -335,7 +340,6 @@ async function runApplication() {
model: "gemini-2.0-flash",
});
const client = new ToolboxClient("http://127.0.0.1:5000");
const toolboxTools = await client.loadToolset("my-toolset");
@@ -360,7 +364,6 @@ async function runApplication() {
},
};
for (const query of queries) {
const agentOutput = await agent.invoke(
{
@@ -477,6 +480,91 @@ async function run() {
run();
{{< /tab >}}
{{< tab header="LlamaIndex" lang="js" >}}
import { gemini, GEMINI_MODEL } from "@llamaindex/google";
import { agent } from "@llamaindex/workflow";
import { createMemory, staticBlock, tool } from "llamaindex";
import { ToolboxClient } from "@toolbox-sdk/core";
const TOOLBOX_URL = "http://127.0.0.1:5000"; // Update if needed
process.env.GOOGLE_API_KEY = 'your-api-key'; // Replace it with your API key
const prompt = `
You're a helpful hotel assistant. You handle hotel searching, booking and cancellations.
When the user searches for a hotel, mention its name, id, location and price tier.
Always mention hotel ids while performing any searches — this is very important for operations.
For any bookings or cancellations, please provide the appropriate confirmation.
Update check-in or check-out dates if mentioned by the user.
Don't ask for confirmations from the user.
`;
const queries = [
"Find hotels in Basel with Basel in its name.",
"Can you book the Hilton Basel for me?",
"Oh wait, this is too expensive. Please cancel it and book the Hyatt Regency instead.",
"My check in dates would be from April 10, 2024 to April 19, 2024.",
];
async function main() {
// Connect to MCP Toolbox
const client = new ToolboxClient(TOOLBOX_URL);
const toolboxTools = await client.loadToolset("my-toolset");
const tools = toolboxTools.map((toolboxTool) => {
return tool({
name: toolboxTool.getName(),
description: toolboxTool.getDescription(),
parameters: toolboxTool.getParamSchema(),
execute: toolboxTool,
});
});
// Initialize LLM
const llm = gemini({
model: GEMINI_MODEL.GEMINI_2_0_FLASH,
apiKey: process.env.GOOGLE_API_KEY,
});
const memory = createMemory({
memoryBlocks: [
staticBlock({
content: prompt,
}),
],
});
// Create the Agent
const myAgent = agent({
tools: tools,
llm,
memory,
systemPrompt: prompt,
});
for (const query of queries) {
const result = await myAgent.run(query);
const output = result.data.result;
console.log(`\nUser: ${query}`);
if (typeof output === "string") {
console.log(output.trim());
} else if (typeof output === "object" && "text" in output) {
console.log(output.text.trim());
} else {
console.log(JSON.stringify(output));
}
}
//You may observe some extra logs during execution due to the run method provided by Llama.
console.log("Agent run finished.");
}
main();
{{< /tab >}}
{{< /tabpane >}}
1. Run your agent, and observe the results:
@@ -487,4 +575,4 @@ run();
{{< notice info >}}
For more information, visit the [JS SDK repo](https://github.com/googleapis/mcp-toolbox-sdk-js).
{{</ notice >}}
{{</ notice >}}

View File

@@ -1,9 +1,9 @@
---
title: "Quickstart (MCP)"
type: docs
weight: 3
weight: 5
description: >
How to get started running Toolbox locally with MCP Inspector.
How to get started running Toolbox locally with MCP Inspector.
---
## Overview
@@ -105,7 +105,7 @@ In this section, we will download Toolbox, configure our tools in a
<!-- {x-release-please-start-version} -->
```bash
export OS="linux/amd64" # one of linux/amd64, darwin/arm64, darwin/amd64, or windows/amd64
curl -O https://storage.googleapis.com/genai-toolbox/v0.9.0/$OS/toolbox
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/$OS/toolbox
```
<!-- {x-release-please-end} -->
@@ -218,7 +218,8 @@ In this section, we will download Toolbox, configure our tools in a
1. Type `y` when it asks to install the inspector package.
1. It should show the following when the MCP Inspector is up and running (please take note of <YOUR_SESSION_TOKEN>):
1. It should show the following when the MCP Inspector is up and running (please
take note of `<YOUR_SESSION_TOKEN>`):
```bash
Starting MCP inspector...
@@ -232,11 +233,12 @@ In this section, we will download Toolbox, configure our tools in a
1. Open the above link in your browser.
1. For `Transport Type`, select `SSE`.
1. For `Transport Type`, select `Streamable HTTP`.
1. For `URL`, type in `http://127.0.0.1:5000/mcp/sse`.
1. For `URL`, type in `http://127.0.0.1:5000/mcp`.
1. For `Authentication` -> `Proxy Session Token`, make sure <YOUR_SESSION_TOKEN> is present.
1. For `Configuration` -> `Proxy Session Token`, make sure
`<YOUR_SESSION_TOKEN>` is present.
1. Click Connect.

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@@ -7,3 +7,56 @@ description: >
aliases:
- /how-to/connect_tools_using_mcp
---
## `--prebuilt` Flag
The `--prebuilt` flag allows you to use predefined tool configurations for common database types without creating a custom `tools.yaml` file.
### Usage
```bash
./toolbox --prebuilt <source-type> [other-flags]
```
### Supported Source Types
The following prebuilt configurations are available:
- `alloydb-postgres` - AlloyDB PostgreSQL with execute_sql and list_tables tools
- `bigquery` - BigQuery with execute_sql, get_dataset_info, get_table_info, list_dataset_ids, and list_table_ids tools
- `cloud-sql-mysql` - Cloud SQL MySQL with execute_sql and list_tables tools
- `cloud-sql-postgres` - Cloud SQL PostgreSQL with execute_sql and list_tables tools
- `cloud-sql-mssql` - Cloud SQL SQL Server with execute_sql and list_tables tools
- `postgres` - PostgreSQL with execute_sql and list_tables tools
- `spanner` - Spanner (GoogleSQL) with execute_sql, execute_sql_dql, and list_tables tools
- `spanner-postgres` - Spanner (PostgreSQL) with execute_sql, execute_sql_dql, and list_tables tools
### Examples
#### PostgreSQL with STDIO transport
```bash
./toolbox --prebuilt postgres --stdio
```
This is commonly used in MCP client configurations:
#### BigQuery remote HTTP transport
```bash
./toolbox --prebuilt bigquery [--port 8080]
```
### Environment Variables
When using `--prebuilt`, you still need to provide database connection details through environment variables. The specific variables depend on the source type, see the documentation per database below for the complete list:
For PostgreSQL-based sources:
- `POSTGRES_HOST`
- `POSTGRES_PORT`
- `POSTGRES_DATABASE`
- `POSTGRES_USER`
- `POSTGRES_PASSWORD`
## Notes
The `--prebuilt` flag was added in version 0.6.0.

View File

@@ -0,0 +1,342 @@
---
title: "AlloyDB Admin API using MCP"
type: docs
weight: 2
description: >
Create your AlloyDB database with MCP Toolbox.
---
This guide covers how to use [MCP Toolbox for Databases][toolbox] to create
AlloyDB clusters and instances from IDE enabling their E2E journey.
- [Cursor][cursor]
- [Windsurf][windsurf] (Codium)
- [Visual Studio Code][vscode] (Copilot)
- [Cline][cline] (VS Code extension)
- [Claude desktop][claudedesktop]
- [Claude code][claudecode]
- [Gemini CLI][geminicli]
- [Gemini Code Assist][geminicodeassist]
[toolbox]: https://github.com/googleapis/genai-toolbox
[cursor]: #configure-your-mcp-client
[windsurf]: #configure-your-mcp-client
[vscode]: #configure-your-mcp-client
[cline]: #configure-your-mcp-client
[claudedesktop]: #configure-your-mcp-client
[claudecode]: #configure-your-mcp-client
[geminicli]: #configure-your-mcp-client
[geminicodeassist]: #configure-your-mcp-client
## Before you begin
1. In the Google Cloud console, on the [project selector
page](https://console.cloud.google.com/projectselector2/home/dashboard),
select or create a Google Cloud project.
1. [Make sure that billing is enabled for your Google Cloud
project](https://cloud.google.com/billing/docs/how-to/verify-billing-enabled#confirm_billing_is_enabled_on_a_project).
## Install MCP Toolbox
1. Download the latest version of Toolbox as a binary. Select the [correct
binary](https://github.com/googleapis/genai-toolbox/releases) corresponding
to your OS and CPU architecture. You are required to use Toolbox version
V0.10.0+:
<!-- {x-release-please-start-version} -->
{{< tabpane persist=header >}}
{{< tab header="linux/amd64" lang="bash" >}}
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/linux/amd64/toolbox
{{< /tab >}}
{{< tab header="darwin/arm64" lang="bash" >}}
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/darwin/arm64/toolbox
{{< /tab >}}
{{< tab header="darwin/amd64" lang="bash" >}}
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/darwin/amd64/toolbox
{{< /tab >}}
{{< tab header="windows/amd64" lang="bash" >}}
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/windows/amd64/toolbox.exe
{{< /tab >}}
{{< /tabpane >}}
<!-- {x-release-please-end} -->
1. Make the binary executable:
```bash
chmod +x toolbox
```
1. Verify the installation:
```bash
./toolbox --version
```
## Configure your MCP Client
{{< tabpane text=true >}}
{{% tab header="Claude code" lang="en" %}}
1. Install [Claude
Code](https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview).
1. Create a `.mcp.json` file in your project root if it doesn't exist.
1. Generate Access token to be used as API_KEY using `gcloud auth
print-access-token`.
> **Note:** The lifetime of token is 1 hour.
1. Add the following configuration, replace the environment variables with your
values, and save:
```json
{
"mcpServers": {
"alloydb-admin": {
"command": "./PATH/TO/toolbox",
"args": ["--prebuilt", "alloydb-postgres-admin", "--stdio"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
```
1. Restart Claude code to apply the new configuration.
{{% /tab %}}
{{% tab header="Claude desktop" lang="en" %}}
1. Open [Claude desktop](https://claude.ai/download) and navigate to Settings.
1. Under the Developer tab, tap Edit Config to open the configuration file.
1. Generate Access token to be used as API_KEY using `gcloud auth
print-access-token`.
> **Note:** The lifetime of token is 1 hour.
1. Add the following configuration, replace the environment variables with your
values, and save:
```json
{
"mcpServers": {
"alloydb-admin": {
"command": "./PATH/TO/toolbox",
"args": ["--prebuilt", "alloydb-postgres-admin", "--stdio"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
```
1. Restart Claude desktop.
1. From the new chat screen, you should see a hammer (MCP) icon appear with the
new MCP server available.
{{% /tab %}}
{{% tab header="Cline" lang="en" %}}
1. Open the [Cline](https://github.com/cline/cline) extension in VS Code and tap
the **MCP Servers** icon.
1. Tap Configure MCP Servers to open the configuration file.
1. Generate Access token to be used as API_KEY using `gcloud auth
print-access-token`.
> **Note:** The lifetime of token is 1 hour.
1. Add the following configuration, replace the environment variables with your
values, and save:
```json
{
"mcpServers": {
"alloydb-admin": {
"command": "./PATH/TO/toolbox",
"args": ["--prebuilt", "alloydb-postgres-admin", "--stdio"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
```
1. You should see a green active status after the server is successfully
connected.
{{% /tab %}}
{{% tab header="Cursor" lang="en" %}}
1. Create a `.cursor` directory in your project root if it doesn't exist.
1. Create a `.cursor/mcp.json` file if it doesn't exist and open it.
1. Generate Access token to be used as API_KEY using `gcloud auth
print-access-token`.
> **Note:** The lifetime of token is 1 hour.
1. Add the following configuration, replace the environment variables with your
values, and save:
```json
{
"mcpServers": {
"alloydb-admin": {
"command": "./PATH/TO/toolbox",
"args": ["--prebuilt", "alloydb-postgres-admin", "--stdio"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
```
1. [Cursor](https://www.cursor.com/) and navigate to **Settings > Cursor
Settings > MCP**. You should see a green active status after the server is
successfully connected.
{{% /tab %}}
{{% tab header="Visual Studio Code (Copilot)" lang="en" %}}
1. Open [VS Code](https://code.visualstudio.com/docs/copilot/overview) and
create a `.vscode` directory in your project root if it doesn't exist.
1. Create a `.vscode/mcp.json` file if it doesn't exist and open it.
1. Generate Access token to be used as API_KEY using `gcloud auth
print-access-token`.
> **Note:** The lifetime of token is 1 hour.
1. Add the following configuration, replace the environment variables with your
values, and save:
```json
{
"mcpServers": {
"alloydb-admin": {
"command": "./PATH/TO/toolbox",
"args": ["--prebuilt", "alloydb-postgres-admin", "--stdio"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
```
{{% /tab %}}
{{% tab header="Windsurf" lang="en" %}}
1. Open [Windsurf](https://docs.codeium.com/windsurf) and navigate to the
Cascade assistant.
1. Tap on the hammer (MCP) icon, then Configure to open the configuration file.
1. Generate Access token to be used as API_KEY using `gcloud auth
print-access-token`.
> **Note:** The lifetime of token is 1 hour.
1. Add the following configuration, replace the environment variables with your
values, and save:
```json
{
"mcpServers": {
"alloydb-admin": {
"command": "./PATH/TO/toolbox",
"args": ["--prebuilt", "alloydb-postgres-admin", "--stdio"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
```
{{% /tab %}}
{{% tab header="Gemini CLI" lang="en" %}}
1. Install the [Gemini
CLI](https://github.com/google-gemini/gemini-cli?tab=readme-ov-file#quickstart).
1. In your working directory, create a folder named `.gemini`. Within it, create
a `settings.json` file.
1. Generate Access token to be used as API_KEY using `gcloud auth print-access-token`.
> **Note:** The lifetime of token is 1 hour.
1. Add the following configuration, replace the environment variables with your
values, and save:
```json
{
"mcpServers": {
"alloydb-admin": {
"command": "./PATH/TO/toolbox",
"args": ["--prebuilt", "alloydb-postgres-admin", "--stdio"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
```
{{% /tab %}}
{{% tab header="Gemini Code Assist" lang="en" %}}
1. Install the [Gemini Code
Assist](https://marketplace.visualstudio.com/items?itemName=Google.geminicodeassist)
extension in Visual Studio Code.
1. Enable Agent Mode in Gemini Code Assist chat.
1. In your working directory, create a folder named `.gemini`. Within it, create
a `settings.json` file.
1. Generate Access token to be used as API_KEY using `gcloud auth print-access-token`.
> **Note:** The lifetime of token is 1 hour.
1. Add the following configuration, replace the environment variables with your
values, and save:
```json
{
"mcpServers": {
"alloydb-admin": {
"command": "./PATH/TO/toolbox",
"args": ["--prebuilt", "alloydb-postgres-admin", "--stdio"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
```
{{% /tab %}}
{{< /tabpane >}}
## Use Tools
Your AI tool is now connected to AlloyDB using MCP. Try asking your AI assistant
to create a database, cluster or instance.
The following tools are available to the LLM:
1. **alloydb-create-cluster**: creates alloydb cluster
1. **alloydb-create-instance**: creates alloydb instance (PRIMARY, READ_POOL or SECONDARY)
1. **alloydb-get-operation**: polls on operations API until the operation is done.
{{< notice note >}}
Prebuilt tools are pre-1.0, so expect some tool changes between versions. LLMs
will adapt to the tools available, so this shouldn't affect most users.
{{< /notice >}}
## Connect to your Data
After setting up an AlloyDB cluster and instance, you can [connect your IDE to
the
database](https://cloud.google.com/alloydb/docs/pre-built-tools-with-mcp-toolbox).

View File

@@ -0,0 +1,333 @@
---
title: "Firestore using MCP"
type: docs
weight: 2
description: >
Connect your IDE to Firestore using Toolbox.
---
[Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) is
an open protocol for connecting Large Language Models (LLMs) to data sources
like Firestore. This guide covers how to use [MCP Toolbox for Databases][toolbox]
to expose your developer assistant tools to a Firestore instance:
* [Cursor][cursor]
* [Windsurf][windsurf] (Codium)
* [Visual Studio Code][vscode] (Copilot)
* [Cline][cline] (VS Code extension)
* [Claude desktop][claudedesktop]
* [Claude code][claudecode]
* [Gemini CLI][geminicli]
* [Gemini Code Assist][geminicodeassist]
[toolbox]: https://github.com/googleapis/genai-toolbox
[cursor]: #configure-your-mcp-client
[windsurf]: #configure-your-mcp-client
[vscode]: #configure-your-mcp-client
[cline]: #configure-your-mcp-client
[claudedesktop]: #configure-your-mcp-client
[claudecode]: #configure-your-mcp-client
[geminicli]: #configure-your-mcp-client
[geminicodeassist]: #configure-your-mcp-client
## Set up Firestore
1. Create or select a Google Cloud project.
* [Create a new
project](https://cloud.google.com/resource-manager/docs/creating-managing-projects)
* [Select an existing
project](https://cloud.google.com/resource-manager/docs/creating-managing-projects#identifying_projects)
1. [Enable the Firestore
API](https://console.cloud.google.com/apis/library/firestore.googleapis.com)
for your project.
1. [Create a Firestore
database](https://cloud.google.com/firestore/docs/create-database-web-mobile-client-library)
if you haven't already.
1. Set up authentication for your local environment.
* [Install gcloud CLI](https://cloud.google.com/sdk/docs/install)
* Run `gcloud auth application-default login` to authenticate
## Install MCP Toolbox
1. Download the latest version of Toolbox as a binary. Select the [correct
binary](https://github.com/googleapis/genai-toolbox/releases) corresponding
to your OS and CPU architecture. You are required to use Toolbox version
V0.10.0+:
<!-- {x-release-please-start-version} -->
{{< tabpane persist=header >}}
{{< tab header="linux/amd64" lang="bash" >}}
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/linux/amd64/toolbox
{{< /tab >}}
{{< tab header="darwin/arm64" lang="bash" >}}
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/darwin/arm64/toolbox
{{< /tab >}}
{{< tab header="darwin/amd64" lang="bash" >}}
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/darwin/amd64/toolbox
{{< /tab >}}
{{< tab header="windows/amd64" lang="bash" >}}
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/windows/amd64/toolbox
{{< /tab >}}
{{< /tabpane >}}
<!-- {x-release-please-end} -->
1. Make the binary executable:
```bash
chmod +x toolbox
```
1. Verify the installation:
```bash
./toolbox --version
```
## Configure your MCP Client
{{< tabpane text=true >}}
{{% tab header="Claude code" lang="en" %}}
1. Install [Claude
Code](https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview).
1. Create a `.mcp.json` file in your project root if it doesn't exist.
1. Add the following configuration, replace the environment variables with your
values, and save:
```json
{
"mcpServers": {
"firestore": {
"command": "./PATH/TO/toolbox",
"args": ["--prebuilt","firestore","--stdio"],
"env": {
"FIRESTORE_PROJECT": "your-project-id",
"FIRESTORE_DATABASE": "(default)"
}
}
}
}
```
1. Restart Claude code to apply the new configuration.
{{% /tab %}}
{{% tab header="Claude desktop" lang="en" %}}
1. Open [Claude desktop](https://claude.ai/download) and navigate to Settings.
1. Under the Developer tab, tap Edit Config to open the configuration file.
1. Add the following configuration, replace the environment variables with your
values, and save:
```json
{
"mcpServers": {
"firestore": {
"command": "./PATH/TO/toolbox",
"args": ["--prebuilt","firestore","--stdio"],
"env": {
"FIRESTORE_PROJECT": "your-project-id",
"FIRESTORE_DATABASE": "(default)"
}
}
}
}
```
1. Restart Claude desktop.
1. From the new chat screen, you should see a hammer (MCP) icon appear with the
new MCP server available.
{{% /tab %}}
{{% tab header="Cline" lang="en" %}}
1. Open the [Cline](https://github.com/cline/cline) extension in VS Code and tap
the **MCP Servers** icon.
1. Tap Configure MCP Servers to open the configuration file.
1. Add the following configuration, replace the environment variables with your
values, and save:
```json
{
"mcpServers": {
"firestore": {
"command": "./PATH/TO/toolbox",
"args": ["--prebuilt","firestore","--stdio"],
"env": {
"FIRESTORE_PROJECT": "your-project-id",
"FIRESTORE_DATABASE": "(default)"
}
}
}
}
```
1. You should see a green active status after the server is successfully
connected.
{{% /tab %}}
{{% tab header="Cursor" lang="en" %}}
1. Create a `.cursor` directory in your project root if it doesn't exist.
1. Create a `.cursor/mcp.json` file if it doesn't exist and open it.
1. Add the following configuration, replace the environment variables with your
values, and save:
```json
{
"mcpServers": {
"firestore": {
"command": "./PATH/TO/toolbox",
"args": ["--prebuilt","firestore","--stdio"],
"env": {
"FIRESTORE_PROJECT": "your-project-id",
"FIRESTORE_DATABASE": "(default)"
}
}
}
}
```
1. [Cursor](https://www.cursor.com/) and navigate to **Settings > Cursor
Settings > MCP**. You should see a green active status after the server is
successfully connected.
{{% /tab %}}
{{% tab header="Visual Studio Code (Copilot)" lang="en" %}}
1. Open [VS Code](https://code.visualstudio.com/docs/copilot/overview) and
create a `.vscode` directory in your project root if it doesn't exist.
1. Create a `.vscode/mcp.json` file if it doesn't exist and open it.
1. Add the following configuration, replace the environment variables with your
values, and save:
```json
{
"mcpServers": {
"firestore": {
"command": "./PATH/TO/toolbox",
"args": ["--prebuilt","firestore","--stdio"],
"env": {
"FIRESTORE_PROJECT": "your-project-id",
"FIRESTORE_DATABASE": "(default)"
}
}
}
}
```
{{% /tab %}}
{{% tab header="Windsurf" lang="en" %}}
1. Open [Windsurf](https://docs.codeium.com/windsurf) and navigate to the
Cascade assistant.
1. Tap on the hammer (MCP) icon, then Configure to open the configuration file.
1. Add the following configuration, replace the environment variables with your
values, and save:
```json
{
"mcpServers": {
"firestore": {
"command": "./PATH/TO/toolbox",
"args": ["--prebuilt","firestore","--stdio"],
"env": {
"FIRESTORE_PROJECT": "your-project-id",
"FIRESTORE_DATABASE": "(default)"
}
}
}
}
```
{{% /tab %}}
{{% tab header="Gemini CLI" lang="en" %}}
1. Install the [Gemini
CLI](https://github.com/google-gemini/gemini-cli?tab=readme-ov-file#quickstart).
1. In your working directory, create a folder named `.gemini`. Within it, create
a `settings.json` file.
1. Add the following configuration, replace the environment variables with your
values, and then save:
```json
{
"mcpServers": {
"firestore": {
"command": "./PATH/TO/toolbox",
"args": ["--prebuilt","firestore","--stdio"],
"env": {
"FIRESTORE_PROJECT": "your-project-id",
"FIRESTORE_DATABASE": "(default)"
}
}
}
}
```
{{% /tab %}}
{{% tab header="Gemini Code Assist" lang="en" %}}
1. Install the [Gemini Code
Assist](https://marketplace.visualstudio.com/items?itemName=Google.geminicodeassist)
extension in Visual Studio Code.
1. Enable Agent Mode in Gemini Code Assist chat.
1. In your working directory, create a folder named `.gemini`. Within it, create
a `settings.json` file.
1. Add the following configuration, replace the environment variables with your
values, and then save:
```json
{
"mcpServers": {
"firestore": {
"command": "./PATH/TO/toolbox",
"args": ["--prebuilt","firestore","--stdio"],
"env": {
"FIRESTORE_PROJECT": "your-project-id",
"FIRESTORE_DATABASE": "(default)"
}
}
}
}
```
{{% /tab %}}
{{< /tabpane >}}
## Use Tools
Your AI tool is now connected to Firestore using MCP. Try asking your AI
assistant to list collections, get documents, query collections, or manage
security rules.
The following tools are available to the LLM:
1. **firestore-get-documents**: Gets multiple documents from Firestore by their
paths
1. **firestore-list-collections**: List Firestore collections for a given parent
path
1. **firestore-delete-documents**: Delete multiple documents from Firestore
1. **firestore-query-collection**: Query documents from a collection with
filtering, ordering, and limit options
1. **firestore-get-rules**: Retrieves the active Firestore security rules for
the current project
1. **firestore-validate-rules**: Validates Firestore security rules syntax and
errors
{{< notice note >}}
Prebuilt tools are pre-1.0, so expect some tool changes between versions. LLMs
will adapt to the tools available, so this shouldn't affect most users.
{{< /notice >}}

View File

@@ -0,0 +1,274 @@
---
title: "Looker using MCP"
type: docs
weight: 2
description: >
Connect your IDE to Looker using Toolbox.
---
[Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) is
an open protocol for connecting Large Language Models (LLMs) to data sources
like Postgres. This guide covers how to use [MCP Toolbox for Databases][toolbox]
to expose your developer assistant tools to a Looker instance:
* [Cursor][cursor]
* [Windsurf][windsurf] (Codium)
* [Visual Studio Code][vscode] (Copilot)
* [Cline][cline] (VS Code extension)
* [Claude desktop][claudedesktop]
* [Claude code][claudecode]
[toolbox]: https://github.com/googleapis/genai-toolbox
[cursor]: #configure-your-mcp-client
[windsurf]: #configure-your-mcp-client
[vscode]: #configure-your-mcp-client
[cline]: #configure-your-mcp-client
[claudedesktop]: #configure-your-mcp-client
[claudecode]: #configure-your-mcp-client
## Set up Looker
1. Get a Looker Client ID and Client Secret. Follow the directions
[here](https://cloud.google.com/looker/docs/api-auth#authentication_with_an_sdk).
1. Have the base URL of your Looker instance available. It is likely
something like `https://looker.example.com`. In some cases the API is
listening at a different port, and you will need to use
`https://looker.example.com:19999` instead.
## Install MCP Toolbox
1. Download the latest version of Toolbox as a binary. Select the [correct
binary](https://github.com/googleapis/genai-toolbox/releases) corresponding
to your OS and CPU architecture. You are required to use Toolbox version
v0.10.0+:
<!-- {x-release-please-start-version} -->
{{< tabpane persist=header >}}
{{< tab header="linux/amd64" lang="bash" >}}
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/linux/amd64/toolbox
{{< /tab >}}
{{< tab header="darwin/arm64" lang="bash" >}}
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/darwin/arm64/toolbox
{{< /tab >}}
{{< tab header="darwin/amd64" lang="bash" >}}
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/darwin/amd64/toolbox
{{< /tab >}}
{{< tab header="windows/amd64" lang="bash" >}}
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/windows/amd64/toolbox.exe
{{< /tab >}}
{{< /tabpane >}}
<!-- {x-release-please-end} -->
1. Make the binary executable:
```bash
chmod +x toolbox
```
1. Verify the installation:
```bash
./toolbox --version
```
## Configure your MCP Client
{{< tabpane text=true >}}
{{% tab header="Claude code" lang="en" %}}
1. Install [Claude
Code](https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview).
1. Create a `.mcp.json` file in your project root if it doesn't exist.
1. Add the following configuration, replace the environment variables with your
values, and save:
```json
{
"mcpServers": {
"looker-toolbox": {
"command": "./PATH/TO/toolbox",
"args": ["--stdio", "--prebuilt", "looker"],
"env": {
"LOOKER_BASE_URL": "https://looker.example.com",
"LOOKER_CLIENT_ID": "",
"LOOKER_CLIENT_SECRET": "",
"LOOKER_VERIFY_SSL": "true"
}
}
}
}
```
1. Restart Claude Code to apply the new configuration.
{{% /tab %}}
{{% tab header="Claude desktop" lang="en" %}}
1. Open [Claude desktop](https://claude.ai/download) and navigate to Settings.
1. Under the Developer tab, tap Edit Config to open the configuration file.
1. Add the following configuration, replace the environment variables with your
values, and save:
```json
{
"mcpServers": {
"looker-toolbox": {
"command": "./PATH/TO/toolbox",
"args": ["--stdio", "--prebuilt", "looker"],
"env": {
"LOOKER_BASE_URL": "https://looker.example.com",
"LOOKER_CLIENT_ID": "",
"LOOKER_CLIENT_SECRET": "",
"LOOKER_VERIFY_SSL": "true"
}
}
}
}
```
1. Restart Claude desktop.
1. From the new chat screen, you should see a hammer (MCP) icon appear with the
new MCP server available.
{{% /tab %}}
{{% tab header="Cline" lang="en" %}}
1. Open the [Cline](https://github.com/cline/cline) extension in VS Code and tap
the **MCP Servers** icon.
1. Tap Configure MCP Servers to open the configuration file.
1. Add the following configuration, replace the environment variables with your
values, and save:
```json
{
"mcpServers": {
"looker-toolbox": {
"command": "./PATH/TO/toolbox",
"args": ["--stdio", "--prebuilt", "looker"],
"env": {
"LOOKER_BASE_URL": "https://looker.example.com",
"LOOKER_CLIENT_ID": "",
"LOOKER_CLIENT_SECRET": "",
"LOOKER_VERIFY_SSL": "true"
}
}
}
}
```
1. You should see a green active status after the server is successfully
connected.
{{% /tab %}}
{{% tab header="Cursor" lang="en" %}}
1. Create a `.cursor` directory in your project root if it doesn't exist.
1. Create a `.cursor/mcp.json` file if it doesn't exist and open it.
1. Add the following configuration, replace the environment variables with your
values, and save:
```json
{
"mcpServers": {
"looker-toolbox": {
"command": "./PATH/TO/toolbox",
"args": ["--stdio", "--prebuilt", "looker"],
"env": {
"LOOKER_BASE_URL": "https://looker.example.com",
"LOOKER_CLIENT_ID": "",
"LOOKER_CLIENT_SECRET": "",
"LOOKER_VERIFY_SSL": "true"
}
}
}
}
```
1. Open [Cursor](https://www.cursor.com/) and navigate to **Settings > Cursor
Settings > MCP**. You should see a green active status after the server is
successfully connected.
{{% /tab %}}
{{% tab header="Visual Studio Code (Copilot)" lang="en" %}}
1. Open [VS Code](https://code.visualstudio.com/docs/copilot/overview) and
create a `.vscode` directory in your project root if it doesn't exist.
1. Create a `.vscode/mcp.json` file if it doesn't exist and open it.
1. Add the following configuration, replace the environment variables with your
values, and save:
```json
{
"mcpServers": {
"looker-toolbox": {
"command": "./PATH/TO/toolbox",
"args": ["--stdio", "--prebuilt", "looker"],
"env": {
"LOOKER_BASE_URL": "https://looker.example.com",
"LOOKER_CLIENT_ID": "",
"LOOKER_CLIENT_SECRET": "",
"LOOKER_VERIFY_SSL": "true"
}
}
}
}
```
{{% /tab %}}
{{% tab header="Windsurf" lang="en" %}}
1. Open [Windsurf](https://docs.codeium.com/windsurf) and navigate to the
Cascade assistant.
1. Tap on the hammer (MCP) icon, then Configure to open the configuration file.
1. Add the following configuration, replace the environment variables with your
values, and save:
```json
{
"mcpServers": {
"looker-toolbox": {
"command": "./PATH/TO/toolbox",
"args": ["--stdio", "--prebuilt", "looker"],
"env": {
"LOOKER_BASE_URL": "https://looker.example.com",
"LOOKER_CLIENT_ID": "",
"LOOKER_CLIENT_SECRET": "",
"LOOKER_VERIFY_SSL": "true"
}
}
}
}
```
{{% /tab %}}
{{< /tabpane >}}
## Use Tools
Your AI tool is now connected to Looker using MCP. Try asking your AI
assistant to list models, explores, dimensions, and measures. Run a
query, retrieve the SQL for a query, and run a saved Look.
The following tools are available to the LLM:
1. **get_models**: list the LookML models in Looker
1. **get_explores**: list the explores in a given model
1. **get_dimensions**: list the dimensions in a given explore
1. **get_measures**: list the measures in a given explore
1. **get_filters**: list the filters in a given explore
1. **get_parameters**: list the parameters in a given explore
1. **query**: Run a query
1. **query_sql**: Return the SQL generated by Looker for a query
1. **get_looks**: Return the saved Looks that match a title or description
1. **run_look**: Run a saved Look and return the data
{{< notice note >}}
Prebuilt tools are pre-1.0, so expect some tool changes between versions. LLMs
will adapt to the tools available, so this shouldn't affect most users.
{{< /notice >}}

View File

@@ -52,19 +52,19 @@ Omni](https://cloud.google.com/alloydb/omni/current/docs/overview).
<!-- {x-release-please-start-version} -->
{{< tabpane persist=header >}}
{{< tab header="linux/amd64" lang="bash" >}}
curl -O <https://storage.googleapis.com/genai-toolbox/v0.9.0/linux/amd64/toolbox>
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/linux/amd64/toolbox
{{< /tab >}}
{{< tab header="darwin/arm64" lang="bash" >}}
curl -O <https://storage.googleapis.com/genai-toolbox/v0.9.0/darwin/arm64/toolbox>
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/darwin/arm64/toolbox
{{< /tab >}}
{{< tab header="darwin/amd64" lang="bash" >}}
curl -O <https://storage.googleapis.com/genai-toolbox/v0.9.0/darwin/amd64/toolbox>
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/darwin/amd64/toolbox
{{< /tab >}}
{{< tab header="windows/amd64" lang="bash" >}}
curl -O <https://storage.googleapis.com/genai-toolbox/v0.9.0/windows/amd64/toolbox>
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/windows/amd64/toolbox.exe
{{< /tab >}}
{{< /tabpane >}}
<!-- {x-release-please-end} -->

View File

@@ -28,8 +28,9 @@ Toolbox currently supports the following versions of MCP specification:
The auth implementation in Toolbox is not supported in MCP's auth specification.
This includes:
* [Authenticated Parameters](../resources/tools/_index.md#authenticated-parameters)
* [Authorized Invocations](../resources/tools/_index.md#authorized-invocations)
* [Authenticated Parameters](../resources/tools/_index.md#authenticated-parameters)
* [Authorized Invocations](../resources/tools/_index.md#authorized-invocations)
## Connecting to Toolbox with an MCP client
@@ -62,14 +63,15 @@ remote HTTP server. Logs will be set to the `warn` level by default. `debug` and
`info` logs are not supported with stdio.
{{< notice note >}}
Toolbox enables dynamic reloading by default. To disable, use the `--disable-reload` flag.
Toolbox enables dynamic reloading by default. To disable, use the
`--disable-reload` flag.
{{< /notice >}}
### Connecting via HTTP
Toolbox supports the HTTP transport protocol with and without SSE.
{{< tabpane text=true >}} {{% tab header="HTTP with SSE" lang="en" %}}
{{< tabpane text=true >}} {{% tab header="HTTP with SSE (deprecated)" lang="en" %}}
Add the following configuration to your MCP client configuration:
```bash
@@ -130,7 +132,7 @@ testing and debugging Toolbox server.
1. Click the `Connect` button. It might take awhile to spin up Toolbox. Voila!
You should be able to inspect your toolbox tools!
{{% /tab %}}
{{% tab header="HTTP with SSE" lang="en" %}}
{{% tab header="HTTP with SSE (deprecated)" lang="en" %}}
1. [Run Toolbox](../getting-started/introduction/_index.md#running-the-server).
1. In a separate terminal, run Inspector directly through `npx`:

View File

@@ -133,22 +133,16 @@ section.
## Connecting with Toolbox Client SDK
You can connect to Toolbox Cloud Run instances directly through the SDK
You can connect to Toolbox Cloud Run instances directly through the SDK.
1. [Set up `Cloud Run Invoker` role
access](https://cloud.google.com/run/docs/securing/managing-access#service-add-principals)
to your Cloud Run service.
1. Set up [Application Default
1. (Only for local runs) Set up [Application Default
Credentials](https://cloud.google.com/docs/authentication/set-up-adc-local-dev-environment)
for the principle you set up the `Cloud Run Invoker` role access to.
{{< notice tip >}}
If you're working in some other environment than local, set up [environment
specific Default
Credentials](https://cloud.google.com/docs/authentication/provide-credentials-adc).
{{< /notice >}}
1. Run the following to retrieve a non-deterministic URL for the cloud run service:
```bash
@@ -160,9 +154,11 @@ You can connect to Toolbox Cloud Run instances directly through the SDK
```python
from toolbox_core import ToolboxClient, auth_methods
auth_token_provider = auth_methods.aget_google_id_token # can also use sync method
# Replace with the Cloud Run service URL generated in the previous step.
URL = "https://cloud-run-url.app"
auth_token_provider = auth_methods.aget_google_id_token(URL) # can also use sync method
async with ToolboxClient(
URL,
client_headers={"Authorization": auth_token_provider},

View File

@@ -22,6 +22,17 @@ cluster][alloydb-free-trial].
[alloydb-docs]: https://cloud.google.com/alloydb/docs
[alloydb-free-trial]: https://cloud.google.com/alloydb/docs/create-free-trial-cluster
## Available Tools
- [`alloydb-ai-nl`](../tools/alloydbainl/alloydb-ai-nl.md)
Use natural language queries on AlloyDB, powered by AlloyDB AI.
- [`postgres-sql`](../tools/postgres/postgres-sql.md)
Execute SQL queries as prepared statements in AlloyDB Postgres.
- [`postgres-execute-sql`](../tools/postgres/postgres-execute-sql.md)
Run parameterized SQL statements in AlloyDB Postgres.
## Requirements
### IAM Permissions

View File

@@ -34,6 +34,26 @@ avoiding full table scans or complex filters.
[bigquery-quickstart-cli]: https://cloud.google.com/bigquery/docs/quickstarts/quickstart-command-line
[bigquery-googlesql]: https://cloud.google.com/bigquery/docs/reference/standard-sql/
## Available Tools
- [`bigquery-sql`](../tools/bigquery/bigquery-sql.md)
Run SQL queries directly against BigQuery datasets.
- [`bigquery-execute-sql`](../tools/bigquery/bigquery-execute-sql.md)
Execute structured queries using parameters.
- [`bigquery-get-dataset-info`](../tools/bigquery/bigquery-get-dataset-info.md)
Retrieve metadata for a specific dataset.
- [`bigquery-get-table-info`](../tools/bigquery/bigquery-get-table-info.md)
Retrieve metadata for a specific table.
- [`bigquery-list-dataset-ids`](../tools/bigquery/bigquery-list-dataset-ids.md)
List available dataset IDs.
- [`bigquery-list-table-ids`](../tools/bigquery/bigquery-list-table-ids.md)
List tables in a given dataset.
## Requirements
### IAM Permissions

View File

@@ -32,6 +32,11 @@ such as avoiding full table scans or complex filters.
[bigtable-googlesql]:
https://cloud.google.com/bigtable/docs/googlesql-overview
## Available Tools
- [`bigtable-sql`](../tools/bigtable/bigtable-sql.md)
Run SQL-like queries over Bigtable rows.
## Requirements
### IAM Permissions

View File

@@ -19,6 +19,14 @@ to a database by following these instructions][csql-mssql-connect].
[csql-mssql-docs]: https://cloud.google.com/sql/docs/sqlserver
[csql-mssql-connect]: https://cloud.google.com/sql/docs/sqlserver/connect-overview
## Available Tools
- [`mssql-sql`](../tools/mssql/mssql-sql.md)
Execute pre-defined SQL Server queries with placeholder parameters.
- [`mssql-execute-sql`](../tools/mssql/mssql-execute-sql.md)
Run parameterized SQL Server queries in Cloud SQL for SQL Server.
## Requirements
### IAM Permissions

View File

@@ -20,6 +20,14 @@ to a database by following these instructions][csql-mysql-quickstart].
[csql-mysql-docs]: https://cloud.google.com/sql/docs/mysql
[csql-mysql-quickstart]: https://cloud.google.com/sql/docs/mysql/connect-instance-local-computer
## Available Tools
- [`mysql-sql`](../tools/mysql/mysql-sql.md)
Execute pre-defined prepared SQL queries in MySQL.
- [`mysql-execute-sql`](../tools/mysql/mysql-execute-sql.md)
Run parameterized SQL queries in Cloud SQL for MySQL.
## Requirements
### IAM Permissions

View File

@@ -20,6 +20,14 @@ to a database by following these instructions][csql-pg-quickstart].
[csql-pg-docs]: https://cloud.google.com/sql/docs/postgres
[csql-pg-quickstart]: https://cloud.google.com/sql/docs/postgres/connect-instance-local-computer
## Available Tools
- [`postgres-sql`](../tools/postgres/postgres-sql.md)
Execute SQL queries as prepared statements in PostgreSQL.
- [`postgres-execute-sql`](../tools/postgres/postgres-execute-sql.md)
Run parameterized SQL statements in PostgreSQL.
## Requirements
### IAM Permissions

View File

@@ -11,6 +11,11 @@ description: >
A `couchbase` source establishes a connection to a Couchbase database cluster,
allowing tools to execute SQL queries against it.
## Available Tools
- [`couchbase-sql`](../tools/couchbase/couchbase-sql.md)
Run SQL++ statements on Couchbase with parameterized input.
## Example
```yaml

View File

@@ -0,0 +1,93 @@
---
title: "Dataplex"
type: docs
weight: 1
description: >
Dataplex Universal Catalog is a unified, intelligent governance solution for data and AI assets in Google Cloud. Dataplex Universal Catalog powers AI, analytics, and business intelligence at scale.
---
# Dataplex Source
[Dataplex][dataplex-docs] Universal Catalog is a unified, intelligent governance
solution for data and AI assets in Google Cloud. Dataplex Universal Catalog
powers AI, analytics, and business intelligence at scale.
At the heart of these governance capabilities is a catalog that contains a
centralized inventory of the data assets in your organization. Dataplex
Universal Catalog holds business, technical, and runtime metadata for all of
your data. It helps you discover relationships and semantics in the metadata by
applying artificial intelligence and machine learning.
[dataplex-docs]: https://cloud.google.com/dataplex/docs
## Example
```yaml
sources:
my-dataplex-source:
kind: "dataplex"
project: "my-project-id"
```
## Sample System Prompt
You can use the following system prompt as "Custom Instructions" in your client
application.
```
Whenever you will receive response from dataplex_search_entries tool decide what do to by following these steps:
1. If there are multiple search results found
1.1. Present the list of search results
1.2. Format the output in nested ordered list, for example:
Given
```
{
results: [
{
name: "projects/test-project/locations/us/entryGroups/@bigquery-aws-us-east-1/entries/users"
entrySource: {
displayName: "Users"
description: "Table contains list of users."
location: "aws-us-east-1"
system: "BigQuery"
}
},
{
name: "projects/another_project/locations/us-central1/entryGroups/@bigquery/entries/top_customers"
entrySource: {
displayName: "Top customers",
description: "Table contains list of best customers."
location: "us-central1"
system: "BigQuery"
}
},
]
}
```
Return output formatted as markdown nested list:
```
* Users:
- projectId: test_project
- location: aws-us-east-1
- description: Table contains list of users.
* Top customers:
- projectId: another_project
- location: us-central1
- description: Table contains list of best customers.
```
1.3. Ask to select one of the presented search results
2. If there is only one search result found
2.1. Present the search result immediately.
3. If there are no search result found
3.1. Explain that no search result was found
3.2. Suggest to provide a more specific search query.
Do not try to search within search results on your own.
```
## Reference
| **field** | **type** | **required** | **description** |
|-----------|:--------:|:------------:|----------------------------------------------------------------------------------|
| kind | string | true | Must be "dataplex". |
| project | string | true | Id of the GCP project used for quota and billing purposes (e.g. "my-project-id").|

View File

@@ -21,6 +21,11 @@ Dgraph Cloud. If you're new to Dgraph, the fastest way to get started is to
[dgraph-docs]: https://dgraph.io/docs
[dgraph-login]: https://cloud.dgraph.io/login
## Available Tools
- [`dgraph-dql`](../tools/dgraph/dgraph-dql.md)
Run DQL (Dgraph Query Language) queries.
## Requirements
### Database User

View File

@@ -0,0 +1,77 @@
---
title: "Firestore"
type: docs
weight: 1
description: >
Firestore is a NoSQL document database built for automatic scaling, high performance, and ease of application development. It's a fully managed, serverless database that supports mobile, web, and server development.
---
# Firestore Source
[Firestore][firestore-docs] is a NoSQL document database built for automatic
scaling, high performance, and ease of application development. While the
Firestore interface has many of the same features as traditional databases,
as a NoSQL database it differs from them in the way it describes relationships
between data objects.
If you are new to Firestore, you can [create a database and learn the
basics][firestore-quickstart].
[firestore-docs]: https://cloud.google.com/firestore/docs
[firestore-quickstart]: https://cloud.google.com/firestore/docs/quickstart-servers
## Requirements
### IAM Permissions
Firestore uses [Identity and Access Management (IAM)][iam-overview] to control
user and group access to Firestore resources. Toolbox will use your [Application
Default Credentials (ADC)][adc] to authorize and authenticate when interacting
with [Firestore][firestore-docs].
In addition to [setting the ADC for your server][set-adc], you need to ensure
the IAM identity has been given the correct IAM permissions for accessing
Firestore. Common roles include:
- `roles/datastore.user` - Read and write access to Firestore
- `roles/datastore.viewer` - Read-only access to Firestore
- `roles/firebaserules.admin` - Full management of Firebase Security Rules for
Firestore. This role is required for operations that involve creating,
updating, or managing Firestore security rules (see [Firebase Security Rules
roles][firebaserules-roles])
See [Firestore access control][firestore-iam] for more information on
applying IAM permissions and roles to an identity.
[iam-overview]: https://cloud.google.com/firestore/docs/security/iam
[adc]: https://cloud.google.com/docs/authentication#adc
[set-adc]: https://cloud.google.com/docs/authentication/provide-credentials-adc
[firestore-iam]: https://cloud.google.com/firestore/docs/security/iam
[firebaserules-roles]:
https://cloud.google.com/iam/docs/roles-permissions/firebaserules
### Database Selection
Firestore allows you to create multiple databases within a single project. Each
database is isolated from the others and has its own set of documents and
collections. If you don't specify a database in your configuration, the default
database named `(default)` will be used.
## Example
```yaml
sources:
my-firestore-source:
kind: "firestore"
project: "my-project-id"
# database: "my-database" # Optional, defaults to "(default)"
```
## Reference
| **field** | **type** | **required** | **description** |
|-----------|:--------:|:------------:|----------------------------------------------------------------------------------------------------------|
| kind | string | true | Must be "firestore". |
| project | string | true | Id of the GCP project that contains the Firestore database (e.g. "my-project-id"). |
| database | string | false | Name of the Firestore database to connect to. Defaults to "(default)" if not specified. |

View File

@@ -13,6 +13,11 @@ The HTTP Source allows Toolbox to retrieve data from arbitrary HTTP
endpoints. This enables Generative AI applications to access data from web APIs
and other HTTP-accessible resources.
## Available Tools
- [`http`](../tools/http/http.md)
Make HTTP requests to REST APIs or other web services.
## Example
```yaml

View File

@@ -0,0 +1,66 @@
---
title: "Looker"
type: docs
weight: 1
description: >
Looker is a business intelligence tool that also provides a semantic layer.
---
## About
[Looker][looker-docs] is a web based business intelligence and data management
tool that provides a semantic layer to facilitate querying. It can be deployed
in the cloud, on GCP, or on premises.
[looker-docs]: https://cloud.google.com/looker/docs
## Requirements
### Database User
This source only uses API authentication. You will need to
[create an API user][looker-user] to login to Looker.
[looker-user]:
https://cloud.google.com/looker/docs/api-auth#authentication_with_an_sdk
## Example
```yaml
sources:
my-looker-source:
kind: looker
base_url: http://looker.example.com
client_id: ${LOOKER_CLIENT_ID}
client_secret: ${LOOKER_CLIENT_SECRET}
verify_ssl: true
timeout: 600s
```
The Looker base url will look like "https://looker.example.com", don't include
a trailing "/". In some cases, especially if your Looker is deployed
on-premises, you may need to add the API port numner like
"https://looker.example.com:19999".
Verify ssl should almost always be "true" (all lower case) unless you are using
a self-signed ssl certificate for the Looker server. Anything other than "true"
will be interpretted as false.
The client id and client secret are seemingly random character sequences
assigned by the looker server.
{{< notice tip >}}
Use environment variable replacement with the format ${ENV_NAME}
instead of hardcoding your secrets into the configuration file.
{{< /notice >}}
## Reference
| **field** | **type** | **required** | **description** |
| ------------- | :------: | :----------: | ----------------------------------------------------------------------------------------- |
| kind | string | true | Must be "looker". |
| base_url | string | true | The URL of your Looker server with no trailing /). |
| client_id | string | true | The client id assigned by Looker. |
| client_secret | string | true | The client secret assigned by Looker. |
| verify_ssl | string | true | Whether to check the ssl certificate of the server. |
| timeout | string | false | Maximum time to wait for query execution (e.g. "30s", "2m"). By default, 120s is applied. |

View File

@@ -0,0 +1,34 @@
---
title: "MongoDB"
type: docs
weight: 1
description: >
MongoDB is a no-sql data platform that can not only serve general purpose data requirements also perform VectorSearch where both operational data and embeddings used of search can reside in same document.
---
## About
[MongoDB][mongodb-docs] is a popular NoSQL database that stores data in
flexible, JSON-like documents, making it easy to develop and scale applications.
[mongodb-docs]: https://www.mongodb.com/docs/atlas/getting-started/
## Example
```yaml
sources:
my-mongodb:
kind: mongodb
uri: "mongodb+srv://username:password@host.mongodb.net"
database: sample_mflix
```
## Reference
| **field** | **type** | **required** | **description** |
|-----------|:--------:|:------------:|-------------------------------------------------------------------|
| kind | string | true | Must be "mongodb". |
| uri | string | true | connection string to connect to MongoDB |
| database | string | true | Name of the mongodb database to connect to (e.g. "sample_mflix"). |

View File

@@ -15,6 +15,14 @@ amount of data through a structured format.
[mssql-docs]: https://www.microsoft.com/en-us/sql-server
## Available Tools
- [`mssql-sql`](../tools/mssql/mssql-sql.md)
Execute pre-defined SQL Server queries with placeholder parameters.
- [`mssql-execute-sql`](../tools/mssql/mssql-execute-sql.md)
Run parameterized SQL Server queries in SQL Server.
## Requirements
### Database User
@@ -35,6 +43,7 @@ sources:
database: my_db
user: ${USER_NAME}
password: ${PASSWORD}
# encrypt: strict
```
{{< notice tip >}}
@@ -44,11 +53,12 @@ instead of hardcoding your secrets into the configuration file.
## Reference
| **field** | **type** | **required** | **description** |
|-----------|:--------:|:------------:|------------------------------------------------------------------------|
| kind | string | true | Must be "mssql". |
| host | string | true | IP address to connect to (e.g. "127.0.0.1"). |
| port | string | true | Port to connect to (e.g. "1433"). |
| database | string | true | Name of the SQL Server database to connect to (e.g. "my_db"). |
| user | string | true | Name of the SQL Server user to connect as (e.g. "my-user"). |
| password | string | true | Password of the SQL Server user (e.g. "my-password"). |
| **field** | **type** | **required** | **description** |
|-----------|:--------:|:------------:|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| kind | string | true | Must be "mssql". |
| host | string | true | IP address to connect to (e.g. "127.0.0.1"). |
| port | string | true | Port to connect to (e.g. "1433"). |
| database | string | true | Name of the SQL Server database to connect to (e.g. "my_db"). |
| user | string | true | Name of the SQL Server user to connect as (e.g. "my-user"). |
| password | string | true | Password of the SQL Server user (e.g. "my-password"). |
| encrypt | string | false | Encryption level for data transmitted between the client and server (e.g., "strict"). If not specified, defaults to the [github.com/microsoft/go-mssqldb](https://github.com/microsoft/go-mssqldb?tab=readme-ov-file#common-parameters) package's default encrypt value. |

View File

@@ -14,6 +14,14 @@ reliability, performance, and ease of use.
[mysql-docs]: https://www.mysql.com/
## Available Tools
- [`mysql-sql`](../tools/mysql/mysql-sql.md)
Execute pre-defined prepared SQL queries in MySQL.
- [`mysql-execute-sql`](../tools/mysql/mysql-execute-sql.md)
Run parameterized SQL queries in MySQL.
## Requirements
### Database User

View File

@@ -7,12 +7,19 @@ description: >
---
## About
[Neo4j][neo4j-docs] is a powerful, open source graph database system with over
15 years of active development that has earned it a strong reputation for
reliability, feature robustness, and performance.
[neo4j-docs]: https://neo4j.com/docs
## Available Tools
- [`neo4j-cypher`](../tools/neo4j/neo4j-cypher.md)
Run Cypher queries against your Neo4j graph database.
## Requirements
### Database User

View File

@@ -15,6 +15,14 @@ reputation for reliability, feature robustness, and performance.
[pg-docs]: https://www.postgresql.org/
## Available Tools
- [`postgres-sql`](../tools/postgres/postgres-sql.md)
Execute SQL queries as prepared statements in PostgreSQL.
- [`postgres-execute-sql`](../tools/postgres/postgres-execute-sql.md)
Run parameterized SQL statements in PostgreSQL.
## Requirements
### Database User

View File

@@ -18,6 +18,11 @@ geospatial indexes with radius queries.
If you are new to Redis, you can find installation and getting started guides on
the [official Redis website](https://redis.io/docs/getting-started/).
## Available Tools
- [`redis`](../tools/redis/redis.md)
Run Redis commands and interact with key-value pairs.
## Requirements
### Redis
@@ -33,7 +38,7 @@ sources:
my-redis-instance:
kind: redis
address:
- 127.0.0.1
- 127.0.0.1:6379
username: ${MY_USER_NAME}
password: ${MY_AUTH_STRING} # Omit this field if you don't have a password.
# database: 0
@@ -58,7 +63,7 @@ sources:
my-redis-cluster-instance:
kind: memorystore-redis
address:
- 127.0.0.1
- 127.0.0.1:6379
password: ${MY_AUTH_STRING}
# useGCPIAM: false
# clusterEnabled: false
@@ -74,7 +79,8 @@ using IAM authentication:
sources:
my-redis-cluster-instance:
kind: memorystore-redis
address: 127.0.0.1
address:
- 127.0.0.1:6379
useGCPIAM: true
clusterEnabled: true
```

View File

@@ -23,6 +23,14 @@ the Google Cloud console][spanner-quickstart].
[spanner-quickstart]:
https://cloud.google.com/spanner/docs/create-query-database-console
## Available Tools
- [`spanner-sql`](../tools/spanner/spanner-sql.md)
Execute SQL on Google Cloud Spanner.
- [`spanner-execute-sql`](../tools/spanner/spanner-execute-sql.md)
Run structured and parameterized queries on Spanner.
## Requirements
### IAM Permissions

View File

@@ -22,6 +22,11 @@ SQLite has the following notable characteristics:
- Zero-configuration - no setup or administration needed
- Transactional with ACID properties
## Available Tools
- [`sqlite-sql`](../tools/sqlite/sqlite-sql.md)
Run SQL queries against a local SQLite database.
## Requirements
### Database File

View File

@@ -17,7 +17,12 @@ sets, sorted sets with range queries, bitmaps, hyperloglogs, and geospatial
indexes with radius queries.
If you're new to Valkey, you can find installation and getting started guides on
the [official Valkey website](https://valkey.io/docs/getting-started/).
the [official Valkey website](https://valkey.io/topics/quickstart/).
## Available Tools
- [`valkey`](../tools/valkey/valkey.md)
Issue Valkey (Redis-compatible) commands.
## Example
@@ -26,7 +31,7 @@ sources:
my-valkey-instance:
kind: valkey
address:
- 127.0.0.1
- 127.0.0.1:6379
username: ${YOUR_USERNAME}
password: ${YOUR_PASSWORD}
# database: 0
@@ -50,7 +55,7 @@ sources:
my-valkey-instance:
kind: valkey
address:
- 127.0.0.1
- 127.0.0.1:6379
useGCPIAM: true
```

View File

@@ -81,8 +81,9 @@ the parameter.
|-------------|:---------------:|:------------:|-----------------------------------------------------------------------------|
| name | string | true | Name of the parameter. |
| type | string | true | Must be one of "string", "integer", "float", "boolean" "array" |
| default | parameter type | false | Default value of the parameter. If provided, the parameter is not required. |
| description | string | true | Natural language description of the parameter to describe it to the agent. |
| default | parameter type | false | Default value of the parameter. If provided, `required` will be `false`. |
| required | bool | false | Indicate if the parameter is required. Default to `true`. |
### Array Parameters
@@ -107,14 +108,51 @@ in the list using the items field:
|-------------|:----------------:|:------------:|-----------------------------------------------------------------------------|
| name | string | true | Name of the parameter. |
| type | string | true | Must be "array" |
| default | parameter type | false | Default value of the parameter. If provided, the parameter is not required. |
| description | string | true | Natural language description of the parameter to describe it to the agent. |
| default | parameter type | false | Default value of the parameter. If provided, `required` will be `false`. |
| required | bool | false | Indicate if the parameter is required. Default to `true`. |
| items | parameter object | true | Specify a Parameter object for the type of the values in the array. |
{{< notice note >}}
Items in array should not have a default value. If provided, it will be ignored.
Items in array should not have a `default` or `required` value. If provided, it
will be ignored.
{{< /notice >}}
### Map Parameters
The map type is a collection of key-value pairs. It can be configured in two
ways:
- Generic Map: By default, it accepts values of any primitive type (string,
integer, float, boolean), allowing for mixed data.
- Typed Map: By setting the valueType field, you can enforce that all values
within the map must be of the same specified type.
#### Generic Map (Mixed Value Types)
This is the default behavior when valueType is omitted. It's useful for passing
a flexible group of settings.
```yaml
parameters:
- name: execution_context
type: map
description: A flexible set of key-value pairs for the execution environment.
```
#### Typed Map
Specify valueType to ensure all values in the map are of the same type. An error
will be thrown in case of value type mismatch.
```yaml
parameters:
- name: user_scores
type: map
description: A map of user IDs to their scores. All scores must be integers.
valueType: integer # This enforces the value type for all entries.
```
### Authenticated Parameters
Authenticated parameters are automatically populated with user
@@ -145,7 +183,7 @@ user's ID token.
| **field** | **type** | **required** | **description** |
|-----------|:--------:|:------------:|-----------------------------------------------------------------------------------------|
| name | string | true | Name of the [authServices](../authservices) used to verify the OIDC auth token. |
| name | string | true | Name of the [authServices](../authservices) used to verify the OIDC auth token. |
| field | string | true | Claim field decoded from the OIDC token used to auto-populate this parameter. |
### Template Parameters

View File

@@ -16,7 +16,7 @@ It's compatible with the following sources:
- [bigquery](../sources/bigquery.md)
`bigquery-get-dataset-info` takes a `dataset` parameter to specify the dataset
on the given source. It also optionally accepts a `project` parameter to
on the given source. It also optionally accepts a `project` parameter to
define the Google Cloud project ID. If the `project` parameter is not provided,
the tool defaults to using the project defined in the source configuration.

View File

@@ -16,8 +16,8 @@ It's compatible with the following sources:
- [bigquery](../sources/bigquery.md)
`bigquery-get-table-info` takes `dataset` and `table` parameters to specify
the target table. It also optionally accepts a `project` parameter to define
the Google Cloud project ID. If the `project` parameter is not provided, the
the target table. It also optionally accepts a `project` parameter to define
the Google Cloud project ID. If the `project` parameter is not provided, the
tool defaults to using the project defined in the source configuration.
## Example

View File

@@ -15,8 +15,8 @@ It's compatible with the following sources:
- [bigquery](../sources/bigquery.md)
`bigquery-list-dataset-ids` optionally accepts a `project` parameter to define
the Google Cloud project ID. If the `project` parameter is not provided, the
`bigquery-list-dataset-ids` optionally accepts a `project` parameter to define
the Google Cloud project ID. If the `project` parameter is not provided, the
tool defaults to using the project defined in the source configuration.
## Example

View File

@@ -16,8 +16,8 @@ It's compatible with the following sources:
- [bigquery](../sources/bigquery.md)
`bigquery-get-dataset-info` takes a required `dataset` parameter to specify the dataset
from which to list table IDs. It also optionally accepts a `project` parameter to
define the Google Cloud project ID. If the `project` parameter is not provided, the
from which to list table IDs. It also optionally accepts a `project` parameter to
define the Google Cloud project ID. If the `project` parameter is not provided, the
tool defaults to using the project defined in the source configuration.
## Example

View File

@@ -20,10 +20,14 @@ instance. It's compatible with any of the following sources:
Bigtable supports SQL queries. The integration with Toolbox supports `googlesql`
dialect, the specified SQL statement is executed as a [data manipulation
language (DML)][bigtable-googlesql] statements, and specified parameters will inserted according to their name: e.g. `@name`.
language (DML)][bigtable-googlesql] statements, and specified parameters will
inserted according to their name: e.g. `@name`.
{{<notice note>}}
Bigtable's GoogleSQL support for DML statements might be limited to certain query types. For detailed information on supported DML statements and use cases, refer to the [Bigtable GoogleSQL use cases](https://cloud.google.com/bigtable/docs/googlesql-overview#use-cases).
Bigtable's GoogleSQL support for DML statements might be limited to certain
query types. For detailed information on supported DML statements and use
cases, refer to the [Bigtable GoogleSQL use
cases](https://cloud.google.com/bigtable/docs/googlesql-overview#use-cases).
{{</notice>}}
[bigtable-googlesql]: https://cloud.google.com/bigtable/docs/googlesql-overview

View File

@@ -0,0 +1,7 @@
---
title: "Dataplex"
type: docs
weight: 1
description: >
Tools that work with Dataplex Sources.
---

View File

@@ -0,0 +1,75 @@
---
title: "dataplex-search-entries"
type: docs
weight: 1
description: >
A "dataplex-search-entries" tool allows to search for entries based on the provided query.
aliases:
- /resources/tools/dataplex-search-entries
---
## About
A `dataplex-search-entries` tool returns all entries in Dataplex Catalog (e.g.
tables, views, models) that matches given user query.
It's compatible with the following sources:
- [dataplex](../sources/dataplex.md)
`dataplex-search-entries` takes a required `query` parameter based on which
entries are filtered and returned to the user and a required `name` parameter
which is constructed using source's project if user does not provide it
explicitly and has the following format: projects/{project}/locations/global. It
also optionally accepts following parameters:
- `pageSize` - Number of results in the search page. Defaults to `5`.
- `pageToken` - Page token received from a previous locations.searchEntries
call.
- `orderBy` - Specifies the ordering of results. Supported values are: relevance
(default), last_modified_timestamp, last_modified_timestamp asc
- `semanticSearch` - Specifies whether the search should understand the meaning
and intent behind the query, rather than just matching keywords. Defaults to
`true`.
- `scope` - The scope under which the search should be operating. Since this
parameter is not exposed to the toolbox user, it defaults to the organization
where the project provided in name is located.
## Requirements
### IAM Permissions
Dataplex uses [Identity and Access Management (IAM)][iam-overview] to control
user and group access to Dataplex resources. Toolbox will use your
[Application Default Credentials (ADC)][adc] to authorize and authenticate when
interacting with [Dataplex][dataplex-docs].
In addition to [setting the ADC for your server][set-adc], you need to ensure
the IAM identity has been given the correct IAM permissions for the tasks you
intend to perform. See [Dataplex Universal Catalog IAM permissions][iam-permissions]
and [Dataplex Universal Catalog IAM roles][iam-roles] for more information on
applying IAM permissions and roles to an identity.
[iam-overview]: https://cloud.google.com/dataplex/docs/iam-and-access-control
[adc]: https://cloud.google.com/docs/authentication#adc
[set-adc]: https://cloud.google.com/docs/authentication/provide-credentials-adc
[iam-permissions]: https://cloud.google.com/dataplex/docs/iam-permissions
[iam-roles]: https://cloud.google.com/dataplex/docs/iam-roles
[dataplex-docs]: https://cloud.google.com/dataplex
## Example
```yaml
tools:
dataplex-search-entries:
kind: dataplex-search-entries
source: my-dataplex-source
description: Use this tool to get all the entries based on the provided query.
```
## Reference
| **field** | **type** | **required** | **description** |
|-------------|:------------------------------------------:|:------------:|--------------------------------------------------------------------------------------------------|
| kind | string | true | Must be "dataplex-search-entries". |
| source | string | true | Name of the source the tool should execute on. |
| description | string | true | Description of the tool that is passed to the LLM. |

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---
title: "Firestore"
type: docs
weight: 1
description: >
Tools that work with Firestore Sources.
---

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---
title: "firestore-delete-documents"
type: docs
weight: 1
description: >
A "firestore-delete-documents" tool deletes multiple documents from Firestore by their paths.
aliases:
- /resources/tools/firestore-delete-documents
---
## About
A `firestore-delete-documents` tool deletes multiple documents from Firestore by
their paths.
It's compatible with the following sources:
- [firestore](../sources/firestore.md)
`firestore-delete-documents` takes one input parameter `documentPaths` which is
an array of document paths to delete. The tool uses Firestore's BulkWriter for
efficient batch deletion and returns the success status for each document.
## Example
```yaml
tools:
delete_user_documents:
kind: firestore-delete-documents
source: my-firestore-source
description: Use this tool to delete multiple documents from Firestore.
```
## Reference
| **field** | **type** | **required** | **description** |
|-------------|:--------------:|:------------:|----------------------------------------------------------|
| kind | string | true | Must be "firestore-delete-documents". |
| source | string | true | Name of the Firestore source to delete documents from. |
| description | string | true | Description of the tool that is passed to the LLM. |

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---
title: "firestore-get-documents"
type: docs
weight: 1
description: >
A "firestore-get-documents" tool retrieves multiple documents from Firestore by their paths.
aliases:
- /resources/tools/firestore-get-documents
---
## About
A `firestore-get-documents` tool retrieves multiple documents from Firestore by
their paths.
It's compatible with the following sources:
- [firestore](../sources/firestore.md)
`firestore-get-documents` takes one input parameter `documentPaths` which is an
array of document paths, and returns the documents' data along with metadata
such as existence status, creation time, update time, and read time.
## Example
```yaml
tools:
get_user_documents:
kind: firestore-get-documents
source: my-firestore-source
description: Use this tool to retrieve multiple documents from Firestore.
```
## Reference
| **field** | **type** | **required** | **description** |
|-------------|:--------------:|:------------:|------------------------------------------------------------|
| kind | string | true | Must be "firestore-get-documents". |
| source | string | true | Name of the Firestore source to retrieve documents from. |
| description | string | true | Description of the tool that is passed to the LLM. |

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---
title: "firestore-get-rules"
type: docs
weight: 1
description: >
A "firestore-get-rules" tool retrieves the active Firestore security rules for the current project.
aliases:
- /resources/tools/firestore-get-rules
---
## About
A `firestore-get-rules` tool retrieves the active [Firestore security
rules](https://firebase.google.com/docs/firestore/security/get-started) for the
current project.
It's compatible with the following sources:
- [firestore](../sources/firestore.md)
`firestore-get-rules` takes no input parameters and returns the security rules
content along with metadata such as the ruleset name, and timestamps.
## Example
```yaml
tools:
get_firestore_rules:
kind: firestore-get-rules
source: my-firestore-source
description: Use this tool to retrieve the active Firestore security rules.
```
## Reference
| **field** | **type** | **required** | **description** |
|-------------|:-------------:|:------------:|-------------------------------------------------------|
| kind | string | true | Must be "firestore-get-rules". |
| source | string | true | Name of the Firestore source to retrieve rules from. |
| description | string | true | Description of the tool that is passed to the LLM. |

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---
title: "firestore-list-collections"
type: docs
weight: 1
description: >
A "firestore-list-collections" tool lists collections in Firestore, either at the root level or as subcollections of a document.
aliases:
- /resources/tools/firestore-list-collections
---
## About
A `firestore-list-collections` tool lists
[collections](https://firebase.google.com/docs/firestore/data-model#collections)
in Firestore, either at the root level or as
[subcollections](https://firebase.google.com/docs/firestore/data-model#subcollections)
of a specific document.
It's compatible with the following sources:
- [firestore](../sources/firestore.md)
`firestore-list-collections` takes an optional `parentPath` parameter to specify a document
path. If provided, it lists all subcollections of that document. If not provided, it lists
all root-level collections in the database.
## Example
```yaml
tools:
list_firestore_collections:
kind: firestore-list-collections
source: my-firestore-source
description: Use this tool to list collections in Firestore.
```
## Reference
| **field** | **type** | **required** | **description** |
|-------------|:----------------:|:------------:|--------------------------------------------------------|
| kind | string | true | Must be "firestore-list-collections". |
| source | string | true | Name of the Firestore source to list collections from. |
| description | string | true | Description of the tool that is passed to the LLM. |

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---
title: "firestore-query-collection"
type: docs
weight: 1
description: >
A "firestore-query-collection" tool allow to query collections in Firestore.
aliases:
- /resources/tools/firestore-query-collection
---
# About
The `firestore-query-collection` tool allows you to query Firestore collections
with filters, ordering, and limit capabilities.
## Configuration
To use this tool, you need to configure it in your YAML configuration file:
```yaml
sources:
my-firestore:
kind: firestore
project: my-gcp-project
database: "(default)"
tools:
query_collection:
kind: firestore-query-collection
source: my-firestore
description: Query Firestore collections with advanced filtering
```
## Parameters
| **parameters** | **type** | **required** | **default** | **description** |
|------------------|:------------:|:------------:|:-----------:|-----------------------------------------------------------------------|
| `collectionPath` | string | true | - | The Firestore Rules source code to validate |
| `filters` | array | false | - | Array of filter objects (as JSON strings) to apply to the query |
| `orderBy` | string | false | - | JSON string specifying field and direction to order results |
| `limit` | integer | false | 100 | Maximum number of documents to return |
| `analyzeQuery` | boolean | false | false | If true, returns query explain metrics including execution statistics |
### Filter Format
Each filter in the `filters` array should be a JSON string with the following
structure:
```json
{
"field": "fieldName",
"op": "operator",
"value": "compareValue"
}
```
Supported operators:
- `<` - Less than
- `<=` - Less than or equal to
- `>` - Greater than
- `>=` - Greater than or equal to
- `==` - Equal to
- `!=` - Not equal to
- `array-contains` - Array contains a specific value
- `array-contains-any` - Array contains any of the specified values
- `in` - Field value is in the specified array
- `not-in` - Field value is not in the specified array
Value types supported:
- String: `"value": "text"`
- Number: `"value": 123` or `"value": 45.67`
- Boolean: `"value": true` or `"value": false`
- Array: `"value": ["item1", "item2"]` (for `in`, `not-in`, `array-contains-any`
operators)
### OrderBy Format
The `orderBy` parameter should be a JSON string with the following structure:
```json
{
"field": "fieldName",
"direction": "ASCENDING"
}
```
Direction values:
- `ASCENDING`
- `DESCENDING`
## Example Usage
### Query with filters
```json
{
"collectionPath": "users",
"filters": [
"{\"field\": \"age\", \"op\": \">\", \"value\": 18}",
"{\"field\": \"status\", \"op\": \"==\", \"value\": \"active\"}"
],
"orderBy": "{\"field\": \"createdAt\", \"direction\": \"DESCENDING\"}",
"limit": 50
}
```
### Query with array contains filter
```json
{
"collectionPath": "products",
"filters": [
"{\"field\": \"categories\", \"op\": \"array-contains\", \"value\": \"electronics\"}",
"{\"field\": \"price\", \"op\": \"<\", \"value\": 1000}"
],
"orderBy": "{\"field\": \"price\", \"direction\": \"ASCENDING\"}",
"limit": 20
}
```
### Query with IN operator
```json
{
"collectionPath": "orders",
"filters": [
"{\"field\": \"status\", \"op\": \"in\", \"value\": [\"pending\", \"processing\"]}"
],
"limit": 100
}
```
### Query with explain metrics
```json
{
"collectionPath": "users",
"filters": [
"{\"field\": \"age\", \"op\": \">=\", \"value\": 21}",
"{\"field\": \"active\", \"op\": \"==\", \"value\": true}"
],
"orderBy": "{\"field\": \"lastLogin\", \"direction\": \"DESCENDING\"}",
"limit": 25,
"analyzeQuery": true
}
```
## Response Format
### Standard Response (analyzeQuery = false)
The tool returns an array of documents, where each document includes:
```json
{
"id": "documentId",
"path": "collection/documentId",
"data": {
// Document fields
},
"createTime": "2025-01-07T12:00:00Z",
"updateTime": "2025-01-07T12:00:00Z",
"readTime": "2025-01-07T12:00:00Z"
}
```
### Response with Query Analysis (analyzeQuery = true)
When `analyzeQuery` is set to true, the tool returns a single object containing
documents and explain metrics:
```json
{
"documents": [
// Array of document objects as shown above
],
"explainMetrics": {
"planSummary": {
"indexesUsed": [
{
"query_scope": "Collection",
"properties": "(field ASC, __name__ ASC)"
}
]
},
"executionStats": {
"resultsReturned": 50,
"readOperations": 50,
"executionDuration": "120ms",
"debugStats": {
"indexes_entries_scanned": "1000",
"documents_scanned": "50",
"billing_details": {
"documents_billable": "50",
"index_entries_billable": "1000",
"min_query_cost": "0"
}
}
}
}
}
```
## Error Handling
The tool will return errors for:
- Invalid collection path
- Malformed filter JSON
- Unsupported operators
- Query execution failures
- Invalid orderBy format

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---
title: "firestore-validate-rules"
type: docs
weight: 1
description: >
A "firestore-validate-rules" tool validates Firestore security rules syntax and semantic correctness without deploying them. It provides detailed error reporting with source positions and code snippets.
aliases:
- /resources/tools/firestore-validate-rules
---
## Overview
The `firestore-validate-rules` tool validates Firestore security rules syntax
and semantic correctness without deploying them. It provides detailed error
reporting with source positions and code snippets.
## Configuration
```yaml
tools:
firestore-validate-rules:
kind: firestore-validate-rules
source: <firestore-source-name>
description: "Checks the provided Firestore Rules source for syntax and validation errors"
```
## Authentication
This tool requires authentication if the source requires authentication.
## Parameters
| **parameters** | **type** | **required** | **description** |
|-----------------|:------------:|:------------:|----------------------------------------------|
| source | string | true | The Firestore Rules source code to validate |
## Response
The tool returns a `ValidationResult` object containing:
```json
{
"valid": "boolean",
"issueCount": "number",
"formattedIssues": "string",
"rawIssues": [
{
"sourcePosition": {
"fileName": "string",
"line": "number",
"column": "number",
"currentOffset": "number",
"endOffset": "number"
},
"description": "string",
"severity": "string"
}
]
}
```
## Example Usage
### Validate simple rules
```json
{
"source": "rules_version = '2';\nservice cloud.firestore {\n match /databases/{database}/documents {\n match /{document=**} {\n allow read, write: if true;\n }\n }\n}"
}
```
### Example response for valid rules
```json
{
"valid": true,
"issueCount": 0,
"formattedIssues": "✓ No errors detected. Rules are valid."
}
```
### Example response with errors
```json
{
"valid": false,
"issueCount": 1,
"formattedIssues": "Found 1 issue(s) in rules source:\n\nERROR: Unexpected token ';' [Ln 4, Col 32]\n```\n allow read, write: if true;;\n ^\n```",
"rawIssues": [
{
"sourcePosition": {
"line": 4,
"column": 32,
"currentOffset": 105,
"endOffset": 106
},
"description": "Unexpected token ';'",
"severity": "ERROR"
}
]
}
```
## Error Handling
The tool will return errors for:
- Missing or empty `source` parameter
- API errors when calling the Firebase Rules service
- Network connectivity issues
## Use Cases
1. **Pre-deployment validation**: Validate rules before deploying to production
2. **CI/CD integration**: Integrate rules validation into your build pipeline
3. **Development workflow**: Quickly check rules syntax while developing
4. **Error debugging**: Get detailed error locations with code snippets
## Related Tools
- [firestore-get-rules]({{< ref "firestore-get-rules" >}}): Retrieve current
active rules
- [firestore-query-collection]({{< ref "firestore-query-collection" >}}): Test
rules by querying collections

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---
title: "Looker"
type: docs
weight: 1
description: >
Tools that work with Looker Sources.
---

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@@ -0,0 +1,44 @@
---
title: "looker-get-dimensions"
type: docs
weight: 1
description: >
A "looker-get-dimensions" tool returns all the dimensions from a given explore
in a given model in the source.
aliases:
- /resources/tools/looker-get-dimensions
---
## About
A `looker-get-dimensions` tool returns all the dimensions from a given explore
in a given mode in the source.
It's compatible with the following sources:
- [looker](../sources/looker.md)
`looker-get-dimensions` accepts two parameters, the `model` and the `explore`.
## Example
```yaml
tools:
get_dimensions:
kind: looker-get-dimensions
source: looker-source
description: |
The get_dimensions tool retrieves the list of dimensions defined in
an explore.
It takes two parameters, the model_name looked up from get_models and the
explore_name looked up from get_explores.
```
## Reference
| **field** | **type** | **required** | **description** |
|-------------|:------------------------------------------:|:------------:|--------------------------------------------------------------------------------------------------|
| kind | string | true | Must be "looker-get-dimensions". |
| source | string | true | Name of the source the SQL should execute on. |
| description | string | true | Description of the tool that is passed to the LLM. |

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---
title: "looker-get-explores"
type: docs
weight: 1
description: >
A "looker-get-explores" tool returns all explores
for the given model from the source.
aliases:
- /resources/tools/looker-get-explores
---
## About
A `looker-get-explores` tool returns all explores
for a given model from the source.
It's compatible with the following sources:
- [looker](../sources/looker.md)
`looker-get-explores` accepts one parameter, the
`model` id.
## Example
```yaml
tools:
get_explores:
kind: looker-get-explores
source: looker-source
description: |
The get_explores tool retrieves the list of explores defined in a LookML model
in the Looker system.
It takes one parameter, the model_name looked up from get_models.
```
## Reference
| **field** | **type** | **required** | **description** |
|-------------|:------------------------------------------:|:------------:|--------------------------------------------------------------------------------------------------|
| kind | string | true | Must be "looker-get-explores". |
| source | string | true | Name of the source the SQL should execute on. |
| description | string | true | Description of the tool that is passed to the LLM. |

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---
title: "looker-get-filters"
type: docs
weight: 1
description: >
A "looker-get-filters" tool returns all the filters from a given explore
in a given model in the source.
aliases:
- /resources/tools/looker-get-filters
---
## About
A `looker-get-filters` tool returns all the filters from a given explore
in a given mode in the source.
It's compatible with the following sources:
- [looker](../sources/looker.md)
`looker-get-filters` accepts two parameters, the `model` and the `explore`.
## Example
```yaml
tools:
get_dimensions:
kind: looker-get-filters
source: looker-source
description: |
The get_filters tool retrieves the list of filters defined in
an explore.
It takes two parameters, the model_name looked up from get_models and the
explore_name looked up from get_explores.
```
## Reference
| **field** | **type** | **required** | **description** |
|-------------|:------------------------------------------:|:------------:|--------------------------------------------------------------------------------------------------|
| kind | string | true | Must be "looker-get-filters". |
| source | string | true | Name of the source the SQL should execute on. |
| description | string | true | Description of the tool that is passed to the LLM. |

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---
title: "looker-get-looks"
type: docs
weight: 1
description: >
"looker-get-looks" searches for saved Looks in a Looker
source.
aliases:
- /resources/tools/looker-get-looks
---
## About
The `looker-get-looks` tool searches for a saved Look by
name or description.
It's compatible with the following sources:
- [looker](../sources/looker.md)
`looker-get-looks` takes four parameters, the `title`, `desc`, `limit`
and `offset`.
Title and description use SQL style wildcards and are case insensitive.
Limit and offset are used to page through a larger set of matches and
default to 100 and 0.
## Example
```yaml
tools:
get_looks:
kind: looker-get-looks
source: looker-source
description: |
get_looks Tool
This tool is used to search for saved looks in a Looker instance.
String search params use case-insensitive matching. String search
params can contain % and '_' as SQL LIKE pattern match wildcard
expressions. example="dan%" will match "danger" and "Danzig" but
not "David" example="D_m%" will match "Damage" and "dump".
Most search params can accept "IS NULL" and "NOT NULL" as special
expressions to match or exclude (respectively) rows where the
column is null.
The limit and offset are used to paginate the results.
The result of the get_looks tool is a list of json objects.
```
## Reference
| **field** | **type** | **required** | **description** |
|-------------|:------------------------------------------:|:------------:|--------------------------------------------------------------------------------------------------|
| kind | string | true | Must be "looker-get-looks" |
| source | string | true | Name of the source the SQL should execute on. |
| description | string | true | Description of the tool that is passed to the LLM. |

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---
title: "looker-get-measures"
type: docs
weight: 1
description: >
A "looker-get-measures" tool returns all the measures from a given explore
in a given model in the source.
aliases:
- /resources/tools/looker-get-measures
---
## About
A `looker-get-measures` tool returns all the measures from a given explore
in a given mode in the source.
It's compatible with the following sources:
- [looker](../sources/looker.md)
`looker-get-measures` accepts two parameters, the `model` and the `explore`.
## Example
```yaml
tools:
get_measures:
kind: looker-get-measures
source: looker-source
description: |
The get_measures tool retrieves the list of measures defined in
an explore.
It takes two parameters, the model_name looked up from get_models and the
explore_name looked up from get_explores.
```
## Reference
| **field** | **type** | **required** | **description** |
|-------------|:------------------------------------------:|:------------:|--------------------------------------------------------------------------------------------------|
| kind | string | true | Must be "looker-get-measures". |
| source | string | true | Name of the source the SQL should execute on. |
| description | string | true | Description of the tool that is passed to the LLM. |

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---
title: "looker-get-models"
type: docs
weight: 1
description: >
A "looker-get-models" tool returns all the models in the source.
aliases:
- /resources/tools/looker-get-models
---
## About
A `looker-get-models` tool returns all the models the source.
It's compatible with the following sources:
- [looker](../sources/looker.md)
`looker-get-models` accepts no parameters.
## Example
```yaml
tools:
get_models:
kind: looker-get-models
source: looker-source
description: |
The get_models tool retrieves the list of LookML models in the Looker system.
It takes no parameters.
```
## Reference
| **field** | **type** | **required** | **description** |
|-------------|:------------------------------------------:|:------------:|--------------------------------------------------------------------------------------------------|
| kind | string | true | Must be "looker-get-models". |
| source | string | true | Name of the source the SQL should execute on. |
| description | string | true | Description of the tool that is passed to the LLM. |

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@@ -0,0 +1,44 @@
---
title: "looker-get-parameters"
type: docs
weight: 1
description: >
A "looker-get-parameters" tool returns all the parameters from a given explore
in a given model in the source.
aliases:
- /resources/tools/looker-get-parameters
---
## About
A `looker-get-parameters` tool returns all the parameters from a given explore
in a given mode in the source.
It's compatible with the following sources:
- [looker](../sources/looker.md)
`looker-get-parameters` accepts two parameters, the `model` and the `explore`.
## Example
```yaml
tools:
get_parameters:
kind: looker-get-parameters
source: looker-source
description: |
The get_parameters tool retrieves the list of parameters defined in
an explore.
It takes two parameters, the model_name looked up from get_models and the
explore_name looked up from get_explores.
```
## Reference
| **field** | **type** | **required** | **description** |
|-------------|:------------------------------------------:|:------------:|--------------------------------------------------------------------------------------------------|
| kind | string | true | Must be "looker-get-parameters". |
| source | string | true | Name of the source the SQL should execute on. |
| description | string | true | Description of the tool that is passed to the LLM. |

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---
title: "looker-query"
type: docs
weight: 1
description: >
"looker-query" runs an inline query using the Looker
semantic model.
aliases:
- /resources/tools/looker-query
---
## About
The `looker-query` tool runs a query using the Looker
semantic model.
It's compatible with the following sources:
- [looker](../sources/looker.md)
`looker-query` takes eight parameters:
1. the `model`
2. the `explore`
3. the `fields` list
4. an optional set of `filters`
5. an optional set of `pivots`
6. an optional set of `sorts`
7. an optional `limit`
8. an optional `tz`
## Example
```yaml
tools:
query:
kind: looker-query
source: looker-source
description: |
Query Tool
This tool is used to run a query against the LookML model. The
model, explore, and fields list must be specified. Pivots,
filters and sorts are optional.
The model can be found from the get_models tool. The explore
can be found from the get_explores tool passing in the model.
The fields can be found from the get_dimensions, get_measures,
get_filters, and get_parameters tools, passing in the model
and the explore.
Provide a model_id and explore_name, then a list
of fields. Optionally a list of pivots can be provided.
The pivots must also be included in the fields list.
Filters are provided as a map of {"field.id": "condition",
"field.id2": "condition2", ...}. Do not put the field.id in
quotes. Filter expressions can be found at
https://cloud.google.com/looker/docs/filter-expressions.
Sorts can be specified like [ "field.id desc 0" ].
An optional row limit can be added. If not provided the limit
will default to 500. "-1" can be specified for unlimited.
An optional query timezone can be added. The query_timezone to
will default to that of the workstation where this MCP server
is running, or Etc/UTC if that can't be determined. Not all
models support custom timezones.
The result of the query tool is JSON
```
## Reference
| **field** | **type** | **required** | **description** |
|-------------|:------------------------------------------:|:------------:|--------------------------------------------------------------------------------------------------|
| kind | string | true | Must be "looker-query" |
| source | string | true | Name of the source the SQL should execute on. |
| description | string | true | Description of the tool that is passed to the LLM. |

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---
title: "looker-query-sql"
type: docs
weight: 1
description: >
"looker-query-sql" generates a sql query using the Looker
semantic model.
aliases:
- /resources/tools/looker-query-sql
---
## About
The `looker-query-sql` generates a sql query using the Looker
semantic model.
It's compatible with the following sources:
- [looker](../sources/looker.md)
`looker-query-sql` takes eight parameters:
1. the `model`
2. the `explore`
3. the `fields` list
4. an optional set of `filters`
5. an optional set of `pivots`
6. an optional set of `sorts`
7. an optional `limit`
8. an optional `tz`
## Example
```yaml
tools:
query_sql:
kind: looker-query-sql
source: looker-source
description: |
Query SQL Tool
This tool is used to generate a sql query against the LookML model. The
model, explore, and fields list must be specified. Pivots,
filters and sorts are optional.
The model can be found from the get_models tool. The explore
can be found from the get_explores tool passing in the model.
The fields can be found from the get_dimensions, get_measures,
get_filters, and get_parameters tools, passing in the model
and the explore.
Provide a model_id and explore_name, then a list
of fields. Optionally a list of pivots can be provided.
The pivots must also be included in the fields list.
Filters are provided as a map of {"field.id": "condition",
"field.id2": "condition2", ...}. Do not put the field.id in
quotes. Filter expressions can be found at
https://cloud.google.com/looker/docs/filter-expressions.
Sorts can be specified like [ "field.id desc 0" ].
An optional row limit can be added. If not provided the limit
will default to 500. "-1" can be specified for unlimited.
An optional query timezone can be added. The query_timezone to
will default to that of the workstation where this MCP server
is running, or Etc/UTC if that can't be determined. Not all
models support custom timezones.
The result of the query tool is the sql string.
```
## Reference
| **field** | **type** | **required** | **description** |
|-------------|:------------------------------------------:|:------------:|--------------------------------------------------------------------------------------------------|
| kind | string | true | Must be "looker-query-sql" |
| source | string | true | Name of the source the SQL should execute on. |
| description | string | true | Description of the tool that is passed to the LLM. |

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---
title: "looker-run-look"
type: docs
weight: 1
description: >
"looker-run-look" runs the query associated with a saved Look.
aliases:
- /resources/tools/looker-run-look
---
## About
The `looker-run-look` tool runs the query associated with a
saved Look.
It's compatible with the following sources:
- [looker](../sources/looker.md)
`looker-run-look` takes one parameter, the `look_id`.
## Example
```yaml
tools:
run_look:
kind: looker-run-look
source: looker-source
description: |
run_look Tool
This tool runs the query associated with a look and returns
the data in a JSON structure. It accepts the look_id as the
parameter.
```
## Reference
| **field** | **type** | **required** | **description** |
|-------------|:------------------------------------------:|:------------:|--------------------------------------------------------------------------------------------------|
| kind | string | true | Must be "looker-run-look" |
| source | string | true | Name of the source the SQL should execute on. |
| description | string | true | Description of the tool that is passed to the LLM. |

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---
title: "MongoDB"
type: docs
weight: 1
description: >
Tools that work with the MongoDB Source.
---

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@@ -0,0 +1,81 @@
---
title: "mongodb-aggregate"
type: docs
weight: 1
description: >
A "mongodb-aggregate" tool executes a multi-stage aggregation pipeline against a MongoDB collection.
aliases:
- /resources/tools/mongodb-aggregate
---
## About
The `mongodb-aggregate` tool is the most powerful query tool for MongoDB,
allowing you to process data through a multi-stage pipeline. Each stage
transforms the documents as they pass through, enabling complex operations like
grouping, filtering, reshaping documents, and performing calculations.
The core of this tool is the `pipelinePayload`, which must be a string
containing a **JSON array of pipeline stage documents**. The tool returns a JSON
array of documents produced by the final stage of the pipeline.
A `readOnly` flag can be set to `true` as a safety measure to ensure the
pipeline does not contain any write stages (like `$out` or `$merge`).
This tool is compatible with the following source kind:
* [`mongodb`](../../sources/mongodb.md)
## Example
Here is an example that calculates the average price and total count of products
for each category, but only for products with an "active" status.
```yaml
tools:
get_category_stats:
kind: mongodb-aggregate
source: my-mongo-source
description: Calculates average price and count of products, grouped by category.
database: ecommerce
collection: products
readOnly: true
pipelinePayload: |
[
{
"$match": {
"status": {{json .status_filter}}
}
},
{
"$group": {
"_id": "$category",
"average_price": { "$avg": "$price" },
"item_count": { "$sum": 1 }
}
},
{
"$sort": {
"average_price": -1
}
}
]
pipelineParams:
- name: status_filter
type: string
description: The product status to filter by (e.g., "active").
```
## Reference
| **field** | **type** | **required** | **description** |
|:----------------|:---------|:-------------|:---------------------------------------------------------------------------------------------------------------|
| kind | string | true | Must be `mongodb-aggregate`. |
| source | string | true | The name of the `mongodb` source to use. |
| description | string | true | A description of the tool that is passed to the LLM. |
| database | string | true | The name of the MongoDB database containing the collection. |
| collection | string | true | The name of the MongoDB collection to run the aggregation on. |
| pipelinePayload | string | true | A JSON array of aggregation stage documents, provided as a string. Uses `{{json .param_name}}` for templating. |
| pipelineParams | list | true | A list of parameter objects that define the variables used in the `pipelinePayload`. |
| canonical | bool | false | Determines if the pipeline string is parsed using MongoDB's Canonical or Relaxed Extended JSON format. |
| readOnly | bool | false | If `true`, the tool will fail if the pipeline contains write stages (`$out` or `$merge`). Defaults to `false`. |

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---
title: "mongodb-delete-many"
type: docs
weight: 1
description: >
A "mongodb-delete-many" tool deletes all documents from a MongoDB collection that match a filter.
aliases:
- /resources/tools/mongodb-delete-many
---
## About
The `mongodb-delete-many` tool performs a **bulk destructive operation**,
deleting **ALL** documents from a collection that match a specified filter.
The tool returns the total count of documents that were deleted. If the filter
does not match any documents (i.e., the deleted count is 0), the tool will
return an error.
This tool is compatible with the following source kind:
* [`mongodb`](../../sources/mongodb.md)
---
## Example
Here is an example that performs a cleanup task by deleting all products from
the `inventory` collection that belong to a discontinued brand.
```yaml
tools:
retire_brand_products:
kind: mongodb-delete-many
source: my-mongo-source
description: Deletes all products from a specified discontinued brand.
database: ecommerce
collection: inventory
filterPayload: |
{ "brand_name": {{json .brand_to_delete}} }
filterParams:
- name: brand_to_delete
type: string
description: The name of the discontinued brand whose products should be deleted.
```
## Reference
| **field** | **type** | **required** | **description** |
|:--------------|:---------|:-------------|:--------------------------------------------------------------------------------------------------------------------|
| kind | string | true | Must be `mongodb-delete-many`. |
| source | string | true | The name of the `mongodb` source to use. |
| description | string | true | A description of the tool that is passed to the LLM. |
| database | string | true | The name of the MongoDB database containing the collection. |
| collection | string | true | The name of the MongoDB collection from which to delete documents. |
| filterPayload | string | true | The MongoDB query filter document to select the documents for deletion. Uses `{{json .param_name}}` for templating. |
| filterParams | list | true | A list of parameter objects that define the variables used in the `filterPayload`. |

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---
title: "mongodb-delete-one"
type: docs
weight: 1
description: >
A "mongodb-delete-one" tool deletes a single document from a MongoDB collection.
aliases:
- /resources/tools/mongodb-delete-one
---
## About
The `mongodb-delete-one` tool performs a destructive operation, deleting the
**first single document** that matches a specified filter from a MongoDB
collection.
If the filter matches multiple documents, only the first one found by the
database will be deleted. This tool is useful for removing specific entries,
such as a user account or a single item from an inventory based on a unique ID.
The tool returns the number of documents deleted, which will be either `1` if a
document was found and deleted, or `0` if no matching document was found.
This tool is compatible with the following source kind:
* [`mongodb`](../../sources/mongodb.md)
---
## Example
Here is an example that deletes a specific user account from the `users`
collection by matching their unique email address. This is a permanent action.
```yaml
tools:
delete_user_account:
kind: mongodb-delete-one
source: my-mongo-source
description: Permanently deletes a user account by their email address.
database: user_data
collection: users
filterPayload: |
{ "email": {{json .email_address}} }
filterParams:
- name: email_address
type: string
description: The email of the user account to delete.
```
## Reference
| **field** | **type** | **required** | **description** |
|:--------------|:---------|:-------------|:-------------------------------------------------------------------------------------------------------------------|
| kind | string | true | Must be `mongodb-delete-one`. |
| source | string | true | The name of the `mongodb` source to use. |
| description | string | true | A description of the tool that is passed to the LLM. |
| database | string | true | The name of the MongoDB database containing the collection. |
| collection | string | true | The name of the MongoDB collection from which to delete a document. |
| filterPayload | string | true | The MongoDB query filter document to select the document for deletion. Uses `{{json .param_name}}` for templating. |
| filterParams | list | true | A list of parameter objects that define the variables used in the `filterPayload`. |

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---
title: "mongodb-find-one"
type: docs
weight: 1
description: >
A "mongodb-find-one" tool finds and retrieves a single document from a MongoDB collection.
aliases:
- /resources/tools/mongodb-find-one
---
## About
A `mongodb-find-one` tool is used to retrieve the **first single document** that
matches a specified filter from a MongoDB collection. If multiple documents
match the filter, you can use `sort` options to control which document is
returned. Otherwise, the selection is not guaranteed.
The tool returns a single JSON object representing the document, wrapped in a
JSON array.
This tool is compatible with the following source kind:
* [`mongodb`](../../sources/mongodb.md)
---
## Example
Here's a common use case: finding a specific user by their unique email address
and returning their profile information, while excluding sensitive fields like
the password hash.
```yaml
tools:
get_user_profile:
kind: mongodb-find-one
source: my-mongo-source
description: Retrieves a user's profile by their email address.
database: user_data
collection: profiles
filterPayload: |
{ "email": {{json .email}} }
filterParams:
- name: email
type: string
description: The email address of the user to find.
projectPayload: |
{
"password_hash": 0,
"login_history": 0
}
```
## Reference
| **field** | **type** | **required** | **description** |
|:---------------|:---------|:-------------|:---------------------------------------------------------------------------------------------------------------------------------------------|
| kind | string | true | Must be `mongodb-find-one`. |
| source | string | true | The name of the `mongodb` source to use. |
| description | string | true | A description of the tool that is passed to the LLM. |
| database | string | true | The name of the MongoDB database to query. |
| collection | string | true | The name of the MongoDB collection to query. |
| filterPayload | string | true | The MongoDB query filter document to select the document. Uses `{{json .param_name}}` for templating. |
| filterParams | list | true | A list of parameter objects that define the variables used in the `filterPayload`. |
| projectPayload | string | false | An optional MongoDB projection document to specify which fields to include (1) or exclude (0) in the result. |
| projectParams | list | false | A list of parameter objects for the `projectPayload`. |
| sortPayload | string | false | An optional MongoDB sort document. Useful for selecting which document to return if the filter matches multiple (e.g., get the most recent). |
| sortParams | list | false | A list of parameter objects for the `sortPayload`. |

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---
title: "mongodb-find"
type: docs
weight: 1
description: >
A "mongodb-find" tool finds and retrieves documents from a MongoDB collection.
aliases:
- /resources/tools/mongodb-find
---
## About
A `mongodb-find` tool is used to query a MongoDB collection and retrieve
documents that match a specified filter. It's a flexible tool that allows you to
shape the output by selecting specific fields (**projection**), ordering the
results (**sorting**), and restricting the number of documents returned
(**limiting**).
The tool returns a JSON array of the documents found.
This tool is compatible with the following source kind:
* [`mongodb`](../../sources/mongodb.md)
## Example
Here's an example that finds up to 10 users from the `customers` collection who
live in a specific city. The results are sorted by their last name, and only
their first name, last name, and email are returned.
```yaml
tools:
find_local_customers:
kind: mongodb-find
source: my-mongo-source
description: Finds customers by city, sorted by last name.
database: crm
collection: customers
limit: 10
filterPayload: |
{ "address.city": {{json .city}} }
filterParams:
- name: city
type: string
description: The city to search for customers in.
projectPayload: |
{
"first_name": 1,
"last_name": 1,
"email": 1,
"_id": 0
}
sortPayload: |
{ "last_name": {{json .sort_order}} }
sortParams:
- name: sort_order
type: integer
description: The sort order (1 for ascending, -1 for descending).
```
## Reference
| **field** | **type** | **required** | **description** |
|:---------------|:---------|:-------------|:----------------------------------------------------------------------------------------------------------------------------|
| kind | string | true | Must be `mongodb-find`. |
| source | string | true | The name of the `mongodb` source to use. |
| description | string | true | A description of the tool that is passed to the LLM. |
| database | string | true | The name of the MongoDB database to query. |
| collection | string | true | The name of the MongoDB collection to query. |
| filterPayload | string | true | The MongoDB query filter document to select which documents to return. Uses `{{json .param_name}}` for templating. |
| filterParams | list | true | A list of parameter objects that define the variables used in the `filterPayload`. |
| projectPayload | string | false | An optional MongoDB projection document to specify which fields to include (1) or exclude (0) in the results. |
| projectParams | list | false | A list of parameter objects for the `projectPayload`. |
| sortPayload | string | false | An optional MongoDB sort document to define the order of the returned documents. Use 1 for ascending and -1 for descending. |
| sortParams | list | false | A list of parameter objects for the `sortPayload`. |
| limit | integer | false | An optional integer specifying the maximum number of documents to return. |

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---
title: "mongodb-insert-many"
type: docs
weight: 1
description: >
A "mongodb-insert-many" tool inserts multiple new documents into a MongoDB collection.
aliases:
- /resources/tools/mongodb-insert-many
---
## About
The `mongodb-insert-many` tool inserts **multiple new documents** into a
specified MongoDB collection in a single bulk operation. This is highly
efficient for adding large amounts of data at once.
This tool takes one required parameter named `data`. This `data` parameter must
be a string containing a **JSON array of document objects**. Upon successful
insertion, the tool returns a JSON array containing the unique `_id` of **each**
new document that was created.
This tool is compatible with the following source kind:
* [`mongodb`](../../sources/mongodb.md)
---
## Example
Here is an example configuration for a tool that logs multiple events at once.
```yaml
tools:
log_batch_events:
kind: mongodb-insert-many
source: my-mongo-source
description: Inserts a batch of event logs into the database.
database: logging
collection: events
canonical: true
```
An LLM would call this tool by providing an array of documents as a JSON string
in the `data` parameter, like this:
`tool_code: log_batch_events(data='[{"event": "login", "user": "user1"}, {"event": "click", "user": "user2"}, {"event": "logout", "user": "user1"}]')`
---
## Reference
| **field** | **type** | **required** | **description** |
|:------------|:---------|:-------------|:---------------------------------------------------------------------------------------------------|
| kind | string | true | Must be `mongodb-insert-many`. |
| source | string | true | The name of the `mongodb` source to use. |
| description | string | true | A description of the tool that is passed to the LLM. |
| database | string | true | The name of the MongoDB database containing the collection. |
| collection | string | true | The name of the MongoDB collection into which the documents will be inserted. |
| canonical | bool | true | Determines if the data string is parsed using MongoDB's Canonical or Relaxed Extended JSON format. |

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---
title: "mongodb-insert-one"
type: docs
weight: 1
description: >
A "mongodb-insert-one" tool inserts a single new document into a MongoDB collection.
aliases:
- /resources/tools/mongodb-insert-one
---
## About
The `mongodb-insert-one` tool inserts a **single new document** into a specified
MongoDB collection.
This tool takes one required parameter named `data`, which must be a string
containing the JSON object you want to insert. Upon successful insertion, the
tool returns the unique `_id` of the newly created document.
This tool is compatible with the following source kind:
* [`mongodb`](../../sources/mongodb.md)
## Example
Here is an example configuration for a tool that adds a new user to a `users`
collection.
```yaml
tools:
create_new_user:
kind: mongodb-insert-one
source: my-mongo-source
description: Creates a new user record in the database.
database: user_data
collection: users
canonical: false
```
An LLM would call this tool by providing the document as a JSON string in the
`data` parameter, like this:
`tool_code: create_new_user(data='{"email": "new.user@example.com", "name": "Jane Doe", "status": "active"}')`
## Reference
| **field** | **type** | **required** | **description** |
|:------------|:---------|:-------------|:---------------------------------------------------------------------------------------------------|
| kind | string | true | Must be `mongodb-insert-one`. |
| source | string | true | The name of the `mongodb` source to use. |
| description | string | true | A description of the tool that is passed to the LLM. |
| database | string | true | The name of the MongoDB database containing the collection. |
| collection | string | true | The name of the MongoDB collection into which the document will be inserted. |
| canonical | bool | true | Determines if the data string is parsed using MongoDB's Canonical or Relaxed Extended JSON format. |

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---
title: "mongodb-update-many"
type: docs
weight: 1
description: >
A "mongodb-update-many" tool updates all documents in a MongoDB collection that match a filter.
aliases:
- /resources/tools/mongodb-update-many
---
## About
A `mongodb-update-many` tool updates **all** documents within a specified
MongoDB collection that match a given filter. It locates the documents using a
`filterPayload` and applies the modifications defined in an `updatePayload`.
The tool returns an array of three integers: `[ModifiedCount, UpsertedCount,
MatchedCount]`.
This tool is compatible with the following source kind:
* [`mongodb`](../../sources/mongodb.md)
---
## Example
Here's an example configuration. This tool applies a discount to all items
within a specific category and also marks them as being on sale.
```yaml
tools:
apply_category_discount:
kind: mongodb-update-many
source: my-mongo-source
description: Use this tool to apply a discount to all items in a given category.
database: products
collection: inventory
filterPayload: |
{ "category": {{json .category_name}} }
filterParams:
- name: category_name
type: string
description: The category of items to update.
updatePayload: |
{
"$mul": { "price": {{json .discount_multiplier}} },
"$set": { "on_sale": true }
}
updateParams:
- name: discount_multiplier
type: number
description: The multiplier to apply to the price (e.g., 0.8 for a 20% discount).
canonical: false
upsert: false
```
## Reference
| **field** | **type** | **required** | **description** |
|:--------------|:---------|:-------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| kind | string | true | Must be `mongodb-update-many`. |
| source | string | true | The name of the `mongodb` source to use. |
| description | string | true | A description of the tool that is passed to the LLM. |
| database | string | true | The name of the MongoDB database containing the collection. |
| collection | string | true | The name of the MongoDB collection in which to update documents. |
| filterPayload | string | true | The MongoDB query filter document to select the documents for updating. It's written as a Go template, using `{{json .param_name}}` to insert parameters. |
| filterParams | list | true | A list of parameter objects that define the variables used in the `filterPayload`. |
| updatePayload | string | true | The MongoDB update document, It's written as a Go template, using `{{json .param_name}}` to insert parameters. |
| updateParams | list | true | A list of parameter objects that define the variables used in the `updatePayload`. |
| canonical | bool | true | Determines if the `filterPayload` and `updatePayload` strings are parsed using MongoDB's Canonical or Relaxed Extended JSON format. **Canonical** is stricter about type representation, while **Relaxed** is more lenient. |
| upsert | bool | false | If `true`, a new document is created if no document matches the `filterPayload`. Defaults to `false`. |

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---
title: "mongodb-update-one"
type: docs
weight: 1
description: >
A "mongodb-update-one" tool updates a single document in a MongoDB collection.
aliases:
- /resources/tools/mongodb-update-one
---
## About
A `mongodb-update-one` tool updates a single document within a specified MongoDB
collection. It locates the document to be updated using a `filterPayload` and
applies modifications defined in an `updatePayload`. If the filter matches
multiple documents, only the first one found will be updated.
This tool is compatible with the following source kind:
* [`mongodb`](../../sources/mongodb.md)
---
## Example
Here's an example of a `mongodb-update-one` tool configuration. This tool
updates the `stock` and `status` fields of a document in the `inventory`
collection where the `item` field matches a provided value. If no matching
document is found, the `upsert: true` option will create a new one.
```yaml
tools:
update_inventory_item:
kind: mongodb-update-one
source: my-mongo-source
description: Use this tool to update an item's stock and status in the inventory.
database: products
collection: inventory
filterPayload: |
{ "item": {{json .item_name}} }
filterParams:
- name: item_name
type: string
description: The name of the item to update.
updatePayload: |
{ "$set": { "stock": {{json .new_stock}}, "status": {{json .new_status}} } }
updateParams:
- name: new_stock
type: integer
description: The new stock quantity.
- name: new_status
type: string
description: The new status of the item (e.g., "In Stock", "Backordered").
canonical: false
upsert: true
```
## Reference
| **field** | **type** | **required** | **description** |
|:--------------|:---------|:-------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| kind | string | true | Must be `mongodb-update-one`. |
| source | string | true | The name of the `mongodb` source to use. |
| description | string | true | A description of the tool that is passed to the LLM. |
| database | string | true | The name of the MongoDB database containing the collection. |
| collection | string | true | The name of the MongoDB collection to update a document in. |
| filterPayload | string | true | The MongoDB query filter document to select the document for updating. It's written as a Go template, using `{{json .param_name}}` to insert parameters. |
| filterParams | list | true | A list of parameter objects that define the variables used in the `filterPayload`. |
| updatePayload | string | true | The MongoDB update document, which specifies the modifications. This often uses update operators like `$set`. It's written as a Go template, using `{{json .param_name}}` to insert parameters. |
| updateParams | list | true | A list of parameter objects that define the variables used in the `updatePayload`. |
| canonical | bool | true | Determines if the `updatePayload` string is parsed using MongoDB's Canonical or Relaxed Extended JSON format. **Canonical** is stricter about type representation (e.g., `{"$numberInt": "42"}`), while **Relaxed** is more lenient (e.g., `42`). |
| upsert | bool | false | If `true`, a new document is created if no document matches the `filterPayload`. Defaults to `false`. |

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---
title: "neo4j-execute-cypher"
type: docs
weight: 1
description: >
A "neo4j-execute-cypher" tool executes any arbitrary Cypher statement against a Neo4j
database.
aliases:
- /resources/tools/neo4j-execute-cypher
---
## About
A `neo4j-execute-cypher` tool executes an arbitrary Cypher query provided as a
string parameter against a Neo4j database. It's designed to be a flexible tool
for interacting with the database when a pre-defined query is not sufficient.
This tool is compatible with any of the following sources:
- [neo4j](../sources/neo4j.md)
For security, the tool can be configured to be read-only. If the `readOnly` flag
is set to `true`, the tool will analyze the incoming Cypher query and reject any
write operations (like `CREATE`, `MERGE`, `DELETE`, etc.) before execution.
The Cypher query uses standard [Neo4j
Cypher](https://neo4j.com/docs/cypher-manual/current/queries/) syntax and
supports all Cypher features, including pattern matching, filtering, and
aggregation.
`neo4j-execute-cypher` takes one input parameter `cypher` and run the cypher
query against the `source`.
> **Note:** This tool is intended for developer assistant workflows with
> human-in-the-loop and shouldn't be used for production agents.
## Example
```yaml
tools:
query_neo4j:
kind: neo4j-execute-cypher
source: my-neo4j-prod-db
readOnly: true
description: |
Use this tool to execute a Cypher query against the production database.
Only read-only queries are allowed.
Takes a single 'cypher' parameter containing the full query string.
Example:
{{
"cypher": "MATCH (m:Movie {title: 'The Matrix'}) RETURN m.released"
}}
```
## Reference
| **field** | **type** | **required** | **description** |
|-------------|:------------------------------------------:|:------------:|-------------------------------------------------------------------------------------------------|
| kind | string | true | Must be "neo4j-cypher". |
| source | string | true | Name of the source the Cypher query should execute on. |
| description | string | true | Description of the tool that is passed to the LLM. |
| readOnly | boolean | false | If set to `true`, the tool will reject any write operations in the Cypher query. Default is `false`. |

View File

@@ -0,0 +1,42 @@
---
title: "neo4j-schema"
type: "docs"
weight: 1
description: >
A "neo4j-schema" tool extracts a comprehensive schema from a Neo4j
database.
aliases:
- /resources/tools/neo4j-schema
---
## About
A `neo4j-schema` tool connects to a Neo4j database and extracts its complete schema information. It runs multiple queries concurrently to efficiently gather details about node labels, relationships, properties, constraints, and indexes.
The tool automatically detects if the APOC (Awesome Procedures on Cypher) library is available. If so, it uses APOC procedures like `apoc.meta.schema` for a highly detailed overview of the database structure; otherwise, it falls back to using native Cypher queries.
The extracted schema is **cached** to improve performance for subsequent requests. The output is a structured JSON object containing all the schema details, which can be invaluable for providing database context to an LLM. This tool is compatible with a `neo4j` source and takes no parameters.
## Example
```yaml
tools:
get_movie_db_schema:
kind: neo4j-schema
source: my-neo4j-movies-instance
description: |
Use this tool to get the full schema of the movie database.
This provides information on all available node labels (like Movie, Person),
relationships (like ACTED_IN), and the properties on each.
This tool takes no parameters.
# Optional configuration to cache the schema for 2 hours
cacheExpireMinutes: 120
```
## Reference
| **field** | **type** | **required** | **description** |
|---------------------|:----------:|:------------:|-------------------------------------------------------------------------------------------------|
| kind | string | true | Must be `neo4j-db-schema`. |
| source | string | true | Name of the source the schema should be extracted from. |
| description | string | true | Description of the tool that is passed to the LLM. |
| cacheExpireMinutes | integer | false | Cache expiration time in minutes. Defaults to 60. |

View File

@@ -28,7 +28,8 @@ inserted according to their name: e.g. `@name`.
> Parameters cannot be used as substitutes for identifiers, column names, table
> names, or other parts of the query.
[gsql-dml]: https://cloud.google.com/spanner/docs/reference/standard-sql/dml-syntax
[gsql-dml]:
https://cloud.google.com/spanner/docs/reference/standard-sql/dml-syntax
### PostgreSQL

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@@ -0,0 +1,7 @@
---
title: "Utility tools"
type: docs
weight: 1
description: >
Tools that provide utility.
---

View File

@@ -0,0 +1,51 @@
---
title: "alloydb-wait-for-operation"
type: docs
weight: 10
description: >
Wait for a long-running AlloyDB operation to complete.
---
The `alloydb-wait-for-operation` tool is a utility tool that waits for a
long-running AlloyDB operation to complete. It does this by polling the AlloyDB
Admin API operation status endpoint until the operation is finished, using
exponential backoff.
{{< notice info >}}
This tool is intended for developer assistant workflows with human-in-the-loop
and shouldn't be used for production agents.
{{< /notice >}}
## Example
```yaml
sources:
alloydb-api-source:
kind: http
baseUrl: https://alloydb.googleapis.com
headers:
Authorization: Bearer ${API_KEY}
Content-Type: application/json
tools:
alloydb-operations-get:
kind: alloydb-wait-for-operation
source: alloydb-api-source
description: "This will poll on operations API until the operation is done. For checking operation status we need projectId, locationID and operationId. Once instance is created give follow up steps on how to use the variables to bring data plane MCP server up in local and remote setup."
delay: 1s
maxDelay: 4m
multiplier: 2
maxRetries: 10
```
## Reference
| **field** | **type** | **required** | **description** |
| ----------- | :------: | :----------: | ---------------------------------------------------------------------------------------------------------------- |
| kind | string | true | Must be "alloydb-wait-for-operation". |
| source | string | true | Name of the source the HTTP request should be sent to. |
| description | string | true | A description of the tool. |
| delay | duration | false | The initial delay between polling requests (e.g., `3s`). Defaults to 3 seconds. |
| maxDelay | duration | false | The maximum delay between polling requests (e.g., `4m`). Defaults to 4 minutes. |
| multiplier | float | false | The multiplier for the polling delay. The delay is multiplied by this value after each request. Defaults to 2.0. |
| maxRetries | int | false | The maximum number of polling attempts before giving up. Defaults to 10. |

View File

@@ -10,13 +10,16 @@ aliases:
## About
A `wait` tool pauses execution for a specified duration. This can be useful in workflows where a delay is needed between steps.
A `wait` tool pauses execution for a specified duration. This can be useful in
workflows where a delay is needed between steps.
`wait` takes one input parameter `duration` which is a string representing the time to wait (e.g., "10s", "2m", "1h").
`wait` takes one input parameter `duration` which is a string representing the
time to wait (e.g., "10s", "2m", "1h").
{{% notice info %}}
This tool is intended for developer assistant workflows with human-in-the-loop and shouldn't be used for production agents.
{{% /notice %}}
{{< notice info >}}
This tool is intended for developer assistant workflows with human-in-the-loop
and shouldn't be used for production agents.
{{< /notice >}}
## Example
@@ -30,8 +33,8 @@ tools:
## Reference
| **field** | **type** | **required** | **description** |
|-------------|:------------------------------------------:|:------------:|--------------------------------------------------------------------------------------------------|
| kind | string | true | Must be "wait". |
| description | string | true | Description of the tool that is passed to the LLM. |
| timeout | string | true | The default duration the tool can wait for. |
| **field** | **type** | **required** | **description** |
|-------------|:--------------:|:------------:|-------------------------------------------------------|
| kind | string | true | Must be "wait". |
| description | string | true | Description of the tool that is passed to the LLM. |
| timeout | string | true | The default duration the tool can wait for. |

View File

@@ -220,7 +220,7 @@
},
"outputs": [],
"source": [
"version = \"0.9.0\" # x-release-please-version\n",
"version = \"0.10.0\" # x-release-please-version\n",
"! curl -O https://storage.googleapis.com/genai-toolbox/v{version}/linux/amd64/toolbox\n",
"\n",
"# Make the binary executable\n",

View File

@@ -179,7 +179,7 @@ to use BigQuery, and then run the Toolbox server.
<!-- {x-release-please-start-version} -->
```bash
export OS="linux/amd64" # one of linux/amd64, darwin/arm64, darwin/amd64, or windows/amd64
curl -O https://storage.googleapis.com/genai-toolbox/v0.9.0/$OS/toolbox
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/$OS/toolbox
```
<!-- {x-release-please-end} -->
@@ -292,8 +292,10 @@ to use BigQuery, and then run the Toolbox server.
```bash
./toolbox --tools-file "tools.yaml"
```
{{< notice note >}}
Toolbox enables dynamic reloading by default. To disable, use the `--disable-reload` flag.
Toolbox enables dynamic reloading by default. To disable, use the
`--disable-reload` flag.
{{< /notice >}}
## Step 3: Connect your agent to Toolbox

View File

@@ -98,7 +98,7 @@ In this section, we will download Toolbox, configure our tools in a
<!-- {x-release-please-start-version} -->
```bash
export OS="linux/amd64" # one of linux/amd64, darwin/arm64, darwin/amd64, or windows/amd64
curl -O https://storage.googleapis.com/genai-toolbox/v0.9.0/$OS/toolbox
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/$OS/toolbox
```
<!-- {x-release-please-end} -->
@@ -208,17 +208,27 @@ In this section, we will download Toolbox, configure our tools in a
1. Type `y` when it asks to install the inspector package.
1. It should show the following when the MCP Inspector is up and running:
1. It should show the following when the MCP Inspector is up and running (please
take note of `<YOUR_SESSION_TOKEN>`):
```bash
🔍 MCP Inspector is up and running at http://127.0.0.1:5173 🚀
Starting MCP inspector...
⚙️ Proxy server listening on localhost:6277
🔑 Session token: <YOUR_SESSION_TOKEN>
Use this token to authenticate requests or set DANGEROUSLY_OMIT_AUTH=true to disable auth
🚀 MCP Inspector is up and running at:
http://localhost:6274/?MCP_PROXY_AUTH_TOKEN=<YOUR_SESSION_TOKEN>
```
1. Open the above link in your browser.
1. For `Transport Type`, select `SSE`.
1. For `Transport Type`, select `Streamable HTTP`.
1. For `URL`, type in `http://127.0.0.1:5000/mcp/sse`.
1. For `URL`, type in `http://127.0.0.1:5000/mcp`.
1. For `Configuration` -> `Proxy Session Token`, make sure
`<YOUR_SESSION_TOKEN>` is present.
1. Click Connect.

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---
title: "Looker"
type: docs
weight: 1
description: >
How to get started with Toolbox using Looker.
---

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@@ -0,0 +1,109 @@
---
title: "Quickstart (MCP with Looker and Gemini-CLI)"
type: docs
weight: 2
description: >
How to get started running Toolbox with Gemini-CLI and Looker as the source.
---
## Overview
[Model Context Protocol](https://modelcontextprotocol.io) is an open protocol
that standardizes how applications provide context to LLMs. Check out this page
on how to [connect to Toolbox via MCP](../../how-to/connect_via_mcp.md).
## Step 1: Get a Looker Client ID and Client Secret
The Looker Client ID and Client Secret can be obtained from the Users page of
your Looker instance. Refer to the documentation
[here](https://cloud.google.com/looker/docs/api-auth#authentication_with_an_sdk).
You may need to ask an administrator to get the Client ID and Client Secret
for you.
## Step 2: Install and configure Toolbox
In this section, we will download Toolbox and run the Toolbox server.
1. Download the latest version of Toolbox as a binary:
{{< notice tip >}}
Select the
[correct binary](https://github.com/googleapis/genai-toolbox/releases)
corresponding to your OS and CPU architecture.
{{< /notice >}}
<!-- {x-release-please-start-version} -->
```bash
export OS="linux/amd64" # one of linux/amd64, darwin/arm64, darwin/amd64, or windows/amd64
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/$OS/toolbox
```
<!-- {x-release-please-end} -->
1. Make the binary executable:
```bash
chmod +x toolbox
```
1. Edit the file `~/.gemini/settings.json` and add the following
to the list of mcpServers. Use the Client Id and Client Secret
you obtained earlier.
```json
"mcpServers": {
"looker-toolbox": {
"command": "/path/to/toolbox",
"args": [
"--stdio",
"--prebuilt",
"looker"
],
"env": {
"LOOKER_BASE_URL": "https://looker.example.com",
"LOOKER_CLIENT_ID": "",
"LOOKER_CLIENT_SECRET": "",
"LOOKER_VERIFY_SSL": "true"
}
}
}
```
In some instances you may need to append `:19999` to
the LOOKER_BASE_URL.
## Step 3: Start Gemini-CLI
1. Run Gemini-CLI:
```bash
npx https://github.com/google-gemini/gemini-cli
```
1. Type `y` when it asks to download.
1. Log into Gemini-CLI
1. Enter the command `/mcp` and you should see a list of
available tools like
```
Configured MCP servers:
🟢 looker-toolbox - Ready (10 tools)
- looker-toolbox__get_models
- looker-toolbox__query
- looker-toolbox__get_looks
- looker-toolbox__get_measures
- looker-toolbox__get_filters
- looker-toolbox__get_parameters
- looker-toolbox__get_explores
- looker-toolbox__query_sql
- looker-toolbox__get_dimensions
- looker-toolbox__run_look
```
1. Start exploring your Looker instance with commands like
`Find an explore to see orders` or `show me my current
inventory broken down by item category`.
1. Gemini will prompt you for your approval before using
a tool. You can approve all the tools.

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@@ -0,0 +1,103 @@
---
title: "Quickstart (MCP with Looker)"
type: docs
weight: 2
description: >
How to get started running Toolbox with MCP Inspector and Looker as the source.
---
## Overview
[Model Context Protocol](https://modelcontextprotocol.io) is an open protocol
that standardizes how applications provide context to LLMs. Check out this page
on how to [connect to Toolbox via MCP](../../how-to/connect_via_mcp.md).
## Step 1: Get a Looker Client ID and Client Secret
The Looker Client ID and Client Secret can be obtained from the Users page of
your Looker instance. Refer to the documentation
[here](https://cloud.google.com/looker/docs/api-auth#authentication_with_an_sdk).
You may need to ask an administrator to get the Client ID and Client Secret
for you.
## Step 2: Install and configure Toolbox
In this section, we will download Toolbox and run the Toolbox server.
1. Download the latest version of Toolbox as a binary:
{{< notice tip >}}
Select the
[correct binary](https://github.com/googleapis/genai-toolbox/releases)
corresponding to your OS and CPU architecture.
{{< /notice >}}
<!-- {x-release-please-start-version} -->
```bash
export OS="linux/amd64" # one of linux/amd64, darwin/arm64, darwin/amd64, or windows/amd64
curl -O https://storage.googleapis.com/genai-toolbox/v0.10.0/$OS/toolbox
```
<!-- {x-release-please-end} -->
1. Make the binary executable:
```bash
chmod +x toolbox
```
1. Create a file `looker_env` with the settings for your
Looker instance. Use the Client ID and Client Secret
you obtained earlier.
```bash
export LOOKER_BASE_URL=https://looker.example.com
export LOOKER_VERIFY_SSL=true
export LOOKER_CLIENT_ID=Q7ynZkRkvj9S9FHPm4Wj
export LOOKER_CLIENT_SECRET=P5JvZstFnhpkhCYy2yNSfJ6x
```
In some instances you may need to append `:19999` to
the LOOKER_BASE_URL.
1. Load the looker_env file into your environment.
```bash
source looker_env
```
1. Run the Toolbox server using the prebuilt Looker tools.
```bash
./toolbox --prebuilt looker
```
## Step 3: Connect to MCP Inspector
1. Run the MCP Inspector:
```bash
npx @modelcontextprotocol/inspector
```
1. Type `y` when it asks to install the inspector package.
1. It should show the following when the MCP Inspector is up and running:
```bash
🔍 MCP Inspector is up and running at http://127.0.0.1:5173 🚀
```
1. Open the above link in your browser.
1. For `Transport Type`, select `SSE`.
1. For `URL`, type in `http://127.0.0.1:5000/mcp/sse`.
1. Click Connect.
![inspector](./inspector.png)
1. Select `List Tools`, you will see a list of tools.
![inspector_tools](./inspector_tools.png)
1. Test out your tools here!

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