## Description
update unit tests execute command in DEVELOPER.md to exclude integration
tests
## PR Checklist
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [ ] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
Co-authored-by: Averi Kitsch <akitsch@google.com>
## Description
Adds a postgresql custom list_roles tool, that lists all the
user-created roles in the instance. It provides details about each
role's attributes and memberships.
> Should include a concise description of the changes (bug or feature),
it's
> impact, along with a summary of the solution
![Uploading Screenshot 2025-11-26 at 1.16.42 AM.png…]()
<img width="1065" height="145" alt="Screenshot 2025-11-26 at 12 59
56 AM"
src="https://github.com/user-attachments/assets/d90131b1-d369-4108-b4db-ee5dc9aafe38"
/>
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [ ] Make sure to add `!` if this involve a breaking change
🛠️ Fixes #<1738>
Co-authored-by: Wenxin Du <117315983+duwenxin99@users.noreply.github.com>
## Description
Add additional filter parameters for existing PostgreSQL tools:
1. `list_views`:
- Add a new optional `"schema_name"` filter parameter to return results
based on a specific schema name pattern.
- Add an additional column `"definition"` to return the view definition.
2. `list_schemas`:
- Add a new optional `"owner"` filter parameter to return results based
on a specific owner name pattern.
- Add a new optional `"limit"` parameter to return a specific number of
rows.
3. `list_indexes`:
- Add a new optional `"only_unused"` filter parameter to return only
unused indexes.
> Should include a concise description of the changes (bug or feature),
it's
> impact, along with a summary of the solution
list_views
<img width="1531" height="763" alt="Screenshot 2025-11-25 at 1 36 39 PM"
src="https://github.com/user-attachments/assets/bd6805b3-43d2-46c7-adc8-62d3a4521d36"
/>
list_schemas
<img width="1519" height="755" alt="Screenshot 2025-11-25 at 1 35 54 PM"
src="https://github.com/user-attachments/assets/62d3e987-b64e-442b-ba1a-84def1df7a58"
/>
list_indexes
<img width="1523" height="774" alt="Screenshot 2025-11-25 at 1 35 32 PM"
src="https://github.com/user-attachments/assets/c6f73b3f-f8a2-4b76-9218-64d7011a2241"
/>
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
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- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
🛠️ Fixes #<1738>
Co-authored-by: Averi Kitsch <akitsch@google.com>
## Description
This PR
1. Adds **MariaDB** as a Source - Implementation is similar to **MySQL**
source
2. Utilises pre implemented **MySQL** Tools
- `mysql-execute-sql`
- `mysql-list-active-queries`
- `mysql-list-table-fragmentation`
- `mysql-list-tables`
- `mysql-list-tables-missing-unique-indexes`
- `mysql-sql`
**Note:** After discussion with @duwenxin99 in issue #1768, I initially
assumed MariaDB required new tools due to different metadata structures
and system tables. That is true for older MariaDB versions, but current
MySQL tooling already works with MariaDB (verified), so a separate tool
set was not needed.
3. Adds a source doc for **MariaDB** in docs
4. Adds MariaDB integration tests using the existing MySQL test flow.
Note: The test file is based on the MySQL integration test, but
`GetMariaDBWants()` and
`RunMariDBListTablesTest()` are implemented because MariaDB returns
different metadata
and list-tables output, so the assertions must be MariaDB-specific.
5. Updates CI
Lastly
I considered adding a MariaDB-exclusive Galera cluster monitoring tool,
but skipped it because it requires a multi-node Galera setup for
integration testing and would significantly increase CI complexity with
unclear usage demand.
## PR Checklist
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [ ] Make sure to add `!` if this involve a breaking change
🛠️Fixes#1712#1768
---------
Co-authored-by: Wenxin Du <117315983+duwenxin99@users.noreply.github.com>
Bumps [golang.org/x/crypto](https://github.com/golang/crypto) from
0.43.0 to 0.45.0.
<details>
<summary>Commits</summary>
<ul>
<li><a
href="4e0068c009"><code>4e0068c</code></a>
go.mod: update golang.org/x dependencies</li>
<li><a
href="e79546e28b"><code>e79546e</code></a>
ssh: curb GSSAPI DoS risk by limiting number of specified OIDs</li>
<li><a
href="f91f7a7c31"><code>f91f7a7</code></a>
ssh/agent: prevent panic on malformed constraint</li>
<li><a
href="2df4153a03"><code>2df4153</code></a>
acme/autocert: let automatic renewal work with short lifetime certs</li>
<li><a
href="bcf6a849ef"><code>bcf6a84</code></a>
acme: pass context to request</li>
<li><a
href="b4f2b62076"><code>b4f2b62</code></a>
ssh: fix error message on unsupported cipher</li>
<li><a
href="79ec3a51fc"><code>79ec3a5</code></a>
ssh: allow to bind to a hostname in remote forwarding</li>
<li><a
href="122a78f140"><code>122a78f</code></a>
go.mod: update golang.org/x dependencies</li>
<li><a
href="c0531f9c34"><code>c0531f9</code></a>
all: eliminate vet diagnostics</li>
<li><a
href="0997000b45"><code>0997000</code></a>
all: fix some comments</li>
<li>Additional commits viewable in <a
href="https://github.com/golang/crypto/compare/v0.43.0...v0.45.0">compare
view</a></li>
</ul>
</details>
<br />
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Co-authored-by: Averi Kitsch <akitsch@google.com>
## Description
Adds a postgresql custom list_tablespaces tool, that returns the details
of tablespaces present in database.
<img width="1719" height="698" alt="Screenshot 2025-11-12 at 9 11 13 AM"
src="https://github.com/user-attachments/assets/03964a1b-27e0-4da8-85a2-57db905163ed"
/>
<img width="1077" height="141" alt="Screenshot 2025-11-12 at 9 12 42 AM"
src="https://github.com/user-attachments/assets/f93f5692-eb62-4f30-8192-40c8873d4d00"
/>
> Should include a concise description of the changes (bug or feature),
it's
> impact, along with a summary of the solution
Lists all tablespaces in the database. Returns the tablespace name,
owner name, size in bytes, internal object ID, the access control list
regarding permissions, and any specific tablespace options.
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
🛠️Fixes#1738
## Description
Adds a postgresql custom list_publication_tables tool, that returns the
details of publication tables present in database.
Test Output:
<img width="845" height="239" alt="Screenshot 2025-11-11 at 12 50 59 AM"
src="https://github.com/user-attachments/assets/b7606e44-c5f6-4fc7-865e-7efadd112eff"
/>
<img width="1529" height="648" alt="Screenshot 2025-11-11 at 1 15 18 AM"
src="https://github.com/user-attachments/assets/6192b772-f0bc-4fb4-8032-ca487434d77c"
/>
> Should include a concise description of the changes (bug or feature),
it's
> impact, along with a summary of the solution
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
🛠️Fixes#1738
Co-authored-by: Averi Kitsch <akitsch@google.com>
Co-authored-by: Wenxin Du <117315983+duwenxin99@users.noreply.github.com>
This tool is almost identical to create_pyspark_batch, but for Java
Spark batches. There are some minor differences in how the main files
and args are provided.
We are planning to add several very similar tools for creating batches
like the existing pyspark batches: spark (Java), R, etc. They will use
an identical approach of specifying environment and runtime config in
the YAML, differing only in how language-specific args are passed. We
can streamline this.
This tool creates a PySpark batch from a minimal set of parameters, to
keep things simple for the LLM. Advanced runtime and environment config
can be specified in tools.yaml.
The `required` tag raises validation failure error when a boolean field
is defined as `false`:
```
ERROR "unable to parse tool file at "mongodb_tools.yaml": unable to parse tool "insert-one-device" as kind "mongodb-insert-one": [2:12] Key: 'Config.Canonical' Error:Field validation for 'Canonical' failed on the 'required' tag\n 1 | authRequired: []\n> 2 | canonical: false\n ^\n 3 | collection: Device\n 4 | database: xiar\n 5 | description: Inserts a single new document into the Device collection. The 'data' parameter must be a string containing the JSON object to insert.\n 6 | "
```
All the `required` tags are removed from the boolean `canonical` field
of the MongoDB tools. Unit tests are added.
## Description
> Should include a concise description of the changes (bug or feature),
it's
> impact, along with a summary of the solution
This change updates both `bigquery-sql` and `bigquery-execute-sql` tools
to format `NUMERIC` and `BIGNUMERIC` values as decimal strings (e.g.,
"9.5") instead of rational fractions (e.g., "19/2"). This ensures the
tools' output matches the BigQuery REST API JSON format.
Key changes:
- Added `NormalizeValue` function in
`internal/tools/bigquery/bigquerycommon` to handle `*big.Rat` conversion
with 38-digit precision and trailing zero trimming.
- Updated `bigquery-sql` and `bigquery-execute-sql` to use
`NormalizeValue`.
- Added comprehensive tests in
`internal/tools/bigquery/bigquerycommon/conversion_test.go`.
With these changes the formatting for NUMERIC and BIGNUMERIC is fixed.
**Before:**
```
[
{
"id": 3,
"numeric_value": "1"
},
{
"id": 2,
"numeric_value": "333333333/1000000000"
},
{
"id": 4,
"numeric_value": "12341/10"
},
{
"id": 1,
"numeric_value": "19/2"
}
]
```
**After:**
```
[
{
"id": 3,
"numeric_value": "1"
},
{
"id": 2,
"numeric_value": "0.333333333"
},
{
"id": 4,
"numeric_value": "1234.1"
},
{
"id": 1,
"numeric_value": "9.5"
}
]
```
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [ ] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
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- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [ ] Appropriate docs were updated (if necessary)
- [ ] Make sure to add `!` if this involve a breaking change
🛠️Fixes#1194
---------
Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
Co-authored-by: Averi Kitsch <akitsch@google.com>
## Description
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [ ] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [ ] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [ ] Make sure to add `!` if this involve a breaking change
🛠️ Fixes #<issue_number_goes_here>
This PR introduces the configuration file (.gemini/config.yaml) for the
Gemini Code Assist GitHub App. The goal is to enable AI code reviews
while preventing quota exhaustion caused by high-volume automated PRs
(e.g., Renovate/Dependabot).
See
[schema](https://developers.google.com/gemini-code-assist/docs/customize-gemini-behavior-github#config.yaml-schema)
## Description
> Should include a concise description of the changes (bug or feature),
it's
> impact, along with a summary of the solution
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [ ] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [ ] Appropriate docs were updated (if necessary)
- [ ] Make sure to add `!` if this involve a breaking change
🛠️ Fixes #<issue_number_goes_here>
This PR updates the documentation across the repository to reflect the
new installation workflow using `npx` and Node.js, replacing the
previous binary download instructions. It also standardizes the
prerequisites and adds helpful configuration notes for Windows users.
These changes simplify the setup process for users by leveraging `npx`
for executing the tools, ensuring they always use the latest version
without manual binary management. It also addresses feedback from PR
#2079 regarding installation clarity and Windows support.
---------
Co-authored-by: Twisha Bansal <twishabansal07@gmail.com>
## Description
Adds spanner list graphs to prebuildconfigs
## PR Checklist
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
🛠️Fixes#2051
---------
Co-authored-by: Averi Kitsch <akitsch@google.com>
## Description
This sets the default annotation (readOnlyHint, destructiveHint, etc.)
in the looker tool code.
If desired, a custom tool can override the annotation in yaml like
```yaml
tool_name:
kind: tool-kind
source: tool-source
annotations:
readOnlyHint: false
destructiveHint: true
description: |
Tool Description
```
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
Co-authored-by: Averi Kitsch <akitsch@google.com>
## Description
This Pull Request addresses an issue where the `postgres-list-tables`
tool was including the `google_ml` schema in the results when listing
tables from an AlloyDB PostgreSQL instance.
The primary change involves updating the SQL query within
[https://github.com/googleapis/genai-toolbox/blob/main/internal/tools/postgres/postgreslisttables/postgreslisttables.go](url)
to explicitly exclude the `google_ml` schema, alongside other system
schemas.
The `WHERE` clause in the `listTablesStatement` has been modified from:
```sql
-- Original WHERE clause snippet
AND ns.nspname NOT IN ('pg_catalog', 'information_schema', 'pg_toast')
AND ns.nspname NOT LIKE 'pg_temp_%' AND ns.nspname NOT LIKE 'pg_toast_temp_%'
```
To:
```sql
-- Updated WHERE clause snippet
AND ns.nspname NOT IN ('pg_catalog', 'information_schema', 'pg_toast','google_ml')
AND ns.nspname NOT LIKE 'pg_temp_%' AND ns.nspname NOT LIKE 'pg_toast_temp_%'
```
This ensures that tables residing in the google_ml schema are no longer
returned by the tool, improving the clarity and relevance of the table
listings for users.
## Testing
The changes were validated end-to-end by:
* Building a custom `toolbox` binary from the modified source.
* Configuring `~/.gemini/settings.json` to use this binary as an
`alloydb-test` MCP server.
* Launching `gemini` CLI and confirming the `alloydb-test` server was `🟢
Ready` via `/mcp`.
* Invoking the `postgres-list-tables` tool with `list tables`.
* Verifying that `google_ml` schema tables were successfully excluded
from the results.
Testing screenshot :
<img width="2809" height="1779" alt="Screenshot 2025-11-25 3 47 43 PM"
src="https://github.com/user-attachments/assets/126cf5be-30d7-4ec1-9d31-652b5219c0ce"
/>
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [ ] Code coverage does not decrease (if any source code was changed)
- [ ] Appropriate docs were updated (if necessary)
- [ ] Make sure to add `!` if this involve a breaking change
🛠️Fixes#2009
Co-authored-by: prernakakkar-google <158031829+prernakakkar-google@users.noreply.github.com>
## Description
---
This pull request adds a new tool, cloud-sql-clone-instance, which
enables cloning a Cloud SQL instance from the toolbox using the Cloud
SQL Admin API. The tool supports both standard cloning and point-in-time
recovery (PITR). It also supports specifying preferred zones for cloned
instances via the preferredZone and preferredSecondaryZone fields.
Key Features:
Instance Cloning: The tool allows you to clone a Cloud SQL instance by
specifying the source and destination instance names.
Point-in-Time Recovery (PITR): By providing a pointInTime timestamp, you
can create a clone of an instance as it existed at a specific moment.
High Availability Configuration: The preferredZone and
preferredSecondaryZone parameters allow you to configure the cloned
instance for high availability.
Tested:
<img width="1182" height="446" alt="Screenshot 2025-11-11 at 12 21
47 PM"
src="https://github.com/user-attachments/assets/7f39a5a3-3967-43d0-8041-f1d47b4fbcd9"
/>
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [ ] Make sure to add `!` if this involve a breaking change
🛠️Fixes#1915
Co-authored-by: prernakakkar-google <158031829+prernakakkar-google@users.noreply.github.com>
Co-authored-by: Averi Kitsch <akitsch@google.com>
## Description
> Should include a concise description of the changes (bug or feature),
it's
> impact, along with a summary of the solution
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [ ] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [ ] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [ ] Ensure the tests and linter pass
- [ ] Code coverage does not decrease (if any source code was changed)
- [ ] Appropriate docs were updated (if necessary)
- [ ] Make sure to add `!` if this involve a breaking change
🛠️ Fixes #<issue_number_goes_here>
## Description
This pull request resolves issue
[#36](https://github.com/gemini-cli-extensions/sql-server/issues/36) by
introducing default connection parameters for the MSSQL prebuilt tool.
If a user does not specify a host or port, the tool will now default to
localhost:1433
**Changes Implemented**
The modification is in internal/prebuiltconfigs/tools/mssql.yaml, where
the host and port fields now include default values:
host: ${MSSQL_HOST:localhost}
port: ${MSSQL_PORT:1433}
This configuration allows the tool to function using the defaults, but
users can still set the MSSQL_HOST or MSSQL_PORT environment variables
to override them.
**Validation Process**
Validated changes by running the toolbox against a Microsoft SQL Server
instance hosted in a Docker container.
- **Database Setup:** A testdb database containing a products table was
initialized.
- **CLI Configuration:** The ~/.gemini/settings.json file was updated to
point to my local toolbox build.
- **Tool Launch:** The UI was started using go run . --prebuilt mssql
--ui
- **Testing:** Confirmed the connection logic by testing two scenarios.
One with the environment variables set and one without (to confirm the
default logic).
**1.** Default Value Connection: For this test, the MSSQL_HOST and
MSSQL_PORT environment variables were not defined. The application
correctly utilized the new default values (localhost:1433) to connect to
the testdb.
<img width="2175" height="1144" alt="Screenshot 2025-11-12 6 33 05 PM"
src="https://github.com/user-attachments/assets/bacfc9bf-8b35-42e1-ad53-4af3aef27125"
/>
**2.** Explicit Variable Connection: For the second test, MSSQL_HOST and
MSSQL_PORT were set to specific values. The application correctly
prioritized these variables over the new defaults and connected
successfully.
<img width="2175" height="1144" alt="Screenshot 2025-11-12 6 37 02 PM"
src="https://github.com/user-attachments/assets/61254849-211d-41f4-8c7d-ff92cf64a51c"
/>
Result: Both connection methods were verified by executing the
list_tables prebuilt tool via the UI. In each scenario, the tool
successfully retrieved the UserDetails table, confirming the changes.
<img width="2250" height="1144" alt="Screenshot 2025-11-12 6 38 12 PM"
src="https://github.com/user-attachments/assets/87085777-897e-4a74-9e3f-f36cc8a33305"
/>
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [ ] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [ ] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [ ] Ensure the tests and linter pass
- [ ] Code coverage does not decrease (if any source code was changed)
- [ ] Appropriate docs were updated (if necessary)
- [ ] Make sure to add `!` if this involve a breaking change
🛠️ Fixes
[#36](https://github.com/gemini-cli-extensions/sql-server/issues/36)
## Description
Tool `invoke()` and `RequiresClientAuthorization()` takes a new input
argument -- Resource Manager. Resource manager will be used to retrieve
Source in the next step.
In order to achieve the goal, this PR implements the follows:
* move resource manager from the server package to a new package to
prevent import cycles (between server and mcp)
* added a new interface in `tools.go` to prevent import cycle (between
resources and tools package)
* add new input argument in all tools
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
## Description
Add the import statement for firebirdsql. Our integration test runs on
linux and did not catch this error.
Seems like windows will look for the import statement -- `unable to
create pool: unable to create connection pool: sql: unknown driver
\"firebirdsql\" (forgotten import?)"`
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
🛠️Fixes#2014
## Description
Update error log to more details when initialization fails.
* When a toolset name is not valid, show the toolset name (similar with
promptset).
* When tool does not exist, show the tool name that is missing (similar
with prompt).
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
🛠️Fixes#1579
Support `allowed-origins` flag to allow secure deployment of Toolbox.
Current Toolbox is **insecure by default**, which allows all origin
(`*`). This PR also updated docs to notify user of the new
`allowed-origins` flag in the Cloud Run, kubernetes, and docker
deployment docs.
This PR was tested manually by mocking a browser access:
1. Created a HTML file with Javascript fetch named
`malicious-client.html`:
```
<!DOCTYPE html>
<html>
<head>
<title>Malicious CORS Test</title>
</head>
<body>
<h1>Attempting to access API at http://127.0.0.1:5000/mcp</h1>
<p>Check the **Chrome Developer Console** (F12 -> Console tab) for the result.</p>
<script>
fetch('http://127.0.0.1:5000/mcp', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
// The browser automatically adds the 'Origin' header based on where this HTML is served from (http://localhost:8000)
},
body: JSON.stringify({
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
})
})
.then(response => {
console.log('Success (but check console for CORS enforcement details):', response);
return response.json();
})
.then(data => console.log('Data received (only if CORS passes):', data))
.catch(error => console.error('Fetch Error:', error));
</script>
</body>
</html>
```
2. Run `python3 -m http.server 8000`
3. Open `http://localhost:8000/malicious-client.html` in browser.
4. Tried without `--allowed-origins` flag -- success.
Tried with `--allowed-origins=http://localhost:8000` -- success.
Tried with `--allowed-origins=http://foo.com` -- unsuccessful.
---------
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Co-authored-by: Averi Kitsch <akitsch@google.com>
## Description
The MCP spec supports tool annotations like the below structure in the
2025-06-18 version of the spec.
https://modelcontextprotocol.io/specification/2025-06-18/schema#toolannotations
```
{
destructiveHint?: boolean;
idempotentHint?: boolean;
openWorldHint?: boolean;
readOnlyHint?: boolean;
}
```
Added a ToolAnnotations structure, an Annotations member to the
McpManifest structure, and a nil initializer for the Annotations member
to all calls to GetMcpManifest.
The ToolAnnotations structure and the member annotations are all defined
as pointers so that they are omited when not set. There are times when
the zero value is meaningful so this was the only way to make sure that
we distinguish between not setting the annotation and setting it with a
zero value.
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
🛠️Fixes#927
---------
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Reopening PR from https://github.com/googleapis/genai-toolbox/pull/2019
but on `main`.
## Description
This PR introduces a new How-to guide to deploy ADK Agent to Google
Cloud.
Following the updates to the ADK with Toolbox Local Quickstart (in
https://github.com/googleapis/genai-toolbox/pull/1962), this guide
provides the necessary steps to take a locally developed ADK agent and
deploy it to a production-like cloud environment.
The new guide covers the following workflow:
* Instructions (via link) to deploy the Toolbox server to Cloud Run.
* Using `uvx agent-starter-pack enhance` to scaffold deployment
configuration and adding `toolbox-core` as a dependency.
* Updating the agent code to connect to the remote Cloud Run URL.
* Running `make backend` to deploy the agent to Vertex AI Agent Engine.
* Verifying the deployment using the Agent Engine Playground.
This completes the user journey from local development to a fully
deployed architecture on Google Cloud.
🛠️ Addresses https://github.com/googleapis/genai-toolbox/issues/1705
## Description
> Should include a concise description of the changes (bug or feature),
it's
> impact, along with a summary of the solution
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [ ] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [ ] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [ ] Ensure the tests and linter pass
- [ ] Code coverage does not decrease (if any source code was changed)
- [ ] Appropriate docs were updated (if necessary)
- [ ] Make sure to add `!` if this involve a breaking change
🛠️ Fixes #<issue_number_goes_here>
Bumps [golang.org/x/crypto](https://github.com/golang/crypto) from
0.43.0 to 0.45.0.
<details>
<summary>Commits</summary>
<ul>
<li><a
href="4e0068c009"><code>4e0068c</code></a>
go.mod: update golang.org/x dependencies</li>
<li><a
href="e79546e28b"><code>e79546e</code></a>
ssh: curb GSSAPI DoS risk by limiting number of specified OIDs</li>
<li><a
href="f91f7a7c31"><code>f91f7a7</code></a>
ssh/agent: prevent panic on malformed constraint</li>
<li><a
href="2df4153a03"><code>2df4153</code></a>
acme/autocert: let automatic renewal work with short lifetime certs</li>
<li><a
href="bcf6a849ef"><code>bcf6a84</code></a>
acme: pass context to request</li>
<li><a
href="b4f2b62076"><code>b4f2b62</code></a>
ssh: fix error message on unsupported cipher</li>
<li><a
href="79ec3a51fc"><code>79ec3a5</code></a>
ssh: allow to bind to a hostname in remote forwarding</li>
<li><a
href="122a78f140"><code>122a78f</code></a>
go.mod: update golang.org/x dependencies</li>
<li><a
href="c0531f9c34"><code>c0531f9</code></a>
all: eliminate vet diagnostics</li>
<li><a
href="0997000b45"><code>0997000</code></a>
all: fix some comments</li>
<li>Additional commits viewable in <a
href="https://github.com/golang/crypto/compare/v0.43.0...v0.45.0">compare
view</a></li>
</ul>
</details>
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Bumps [golang.org/x/crypto](https://github.com/golang/crypto) from
0.43.0 to 0.45.0.
<details>
<summary>Commits</summary>
<ul>
<li><a
href="4e0068c009"><code>4e0068c</code></a>
go.mod: update golang.org/x dependencies</li>
<li><a
href="e79546e28b"><code>e79546e</code></a>
ssh: curb GSSAPI DoS risk by limiting number of specified OIDs</li>
<li><a
href="f91f7a7c31"><code>f91f7a7</code></a>
ssh/agent: prevent panic on malformed constraint</li>
<li><a
href="2df4153a03"><code>2df4153</code></a>
acme/autocert: let automatic renewal work with short lifetime certs</li>
<li><a
href="bcf6a849ef"><code>bcf6a84</code></a>
acme: pass context to request</li>
<li><a
href="b4f2b62076"><code>b4f2b62</code></a>
ssh: fix error message on unsupported cipher</li>
<li><a
href="79ec3a51fc"><code>79ec3a5</code></a>
ssh: allow to bind to a hostname in remote forwarding</li>
<li><a
href="122a78f140"><code>122a78f</code></a>
go.mod: update golang.org/x dependencies</li>
<li><a
href="c0531f9c34"><code>c0531f9</code></a>
all: eliminate vet diagnostics</li>
<li><a
href="0997000b45"><code>0997000</code></a>
all: fix some comments</li>
<li>Additional commits viewable in <a
href="https://github.com/golang/crypto/compare/v0.43.0...v0.45.0">compare
view</a></li>
</ul>
</details>
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## Description
> Should include a concise description of the changes (bug or feature),
it's
> impact, along with a summary of the solution
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [ ] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [ ] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [ ] Ensure the tests and linter pass
- [ ] Code coverage does not decrease (if any source code was changed)
- [ ] Appropriate docs were updated (if necessary)
- [ ] Make sure to add `!` if this involve a breaking change
🛠️ Fixes #<issue_number_goes_here>
## Description
> Should include a concise description of the changes (bug or feature),
it's
> impact, along with a summary of the solution
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [ ] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [ ] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [ ] Ensure the tests and linter pass
- [ ] Code coverage does not decrease (if any source code was changed)
- [ ] Appropriate docs were updated (if necessary)
- [ ] Make sure to add `!` if this involve a breaking change
🛠️ Fixes #<issue_number_goes_here>
---------
Co-authored-by: prernakakkar-google <158031829+prernakakkar-google@users.noreply.github.com>
## Description
Spanner List Graphs tool, similar to list tables it can be used to get
all/specific graph details
## PR Checklist
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
🛠️Fixes#1916
---------
Co-authored-by: Averi Kitsch <akitsch@google.com>
Refactor Python example to use an async main function for
`ToolboxClient`, which is an async client and needs to be called from an
`async` function. This PR fixes that by putting this function call in an
async `main` function.
## Description
> Should include a concise description of the changes (bug or feature),
it's
> impact, along with a summary of the solution
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [ ] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [ ] Code coverage does not decrease (if any source code was changed)
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- [ ] Make sure to add `!` if this involve a breaking change
🛠️ Fixes #<issue_number_goes_here>
## Description
Implements the 'postgres-upgrade-precheck' tool to allow users to
validate instance readiness for major version upgrades for CloudSQL
PostgreSQL.
This includes the tool implementation, unit tests for YAML parsing,
integration tests for tool invocation, and documentation. The tool is
also added to the CloudSQL PostgreSQL prebuilt set.
TEST output:
<img width="3406" height="1646" alt="image"
src="https://github.com/user-attachments/assets/6abaa535-285d-4645-9dd3-7ebcd447d448"
/>
<img width="3532" height="1490" alt="image"
src="https://github.com/user-attachments/assets/4d512af1-51fd-4187-b80f-be13198aba68"
/>
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
🛠️Fixes#1721
---------
Co-authored-by: Averi Kitsch <akitsch@google.com>
## Description
This PR updates the installation guides and documentation to reflect
that Python 3.9 is no longer supported. Users are now instructed to
install Python 3.10+.
## Context
This is a follow-up to
https://github.com/googleapis/mcp-toolbox-sdk-python/pull/422, which
officially removed support for Python 3.9 from the Python SDKs codebase.
This change ensures the documentation aligns with the current package
requirements.
- Support CGO cross compilation for multiple architectures using Zig.
- Download and link MacOSX SDK as needed by the MacOSX cross
compilation. There is no official release for MacOSC SDK so I had to
download from a third party repo.
- Update dockerfile from using `gcr.io/distroless/static:nonroot` to
`gcr.io/distroless/cc-debian12:nonroot` for C libraries that is needed
for dynamic linking.
This PR updates the documentation to fix installation commands
compatible with the standard Windows Command Prompt (`cmd.exe`). Earlier
it was targeted towards Powershell, which might not be used by many
users using a Windows machine.
This PR contains the following updates:
| Package | Change | Age | Confidence |
|---|---|---|---|
| [google-adk](https://redirect.github.com/google/adk-python)
([changelog](https://redirect.github.com/google/adk-python/blob/main/CHANGELOG.md))
| `==1.18.0` -> `==1.19.0` |
[](https://docs.renovatebot.com/merge-confidence/)
|
[](https://docs.renovatebot.com/merge-confidence/)
|
---
> [!WARNING]
> Some dependencies could not be looked up. Check the Dependency
Dashboard for more information.
---
### Release Notes
<details>
<summary>google/adk-python (google-adk)</summary>
###
[`v1.19.0`](https://redirect.github.com/google/adk-python/blob/HEAD/CHANGELOG.md#1190-2025-11-19)
[Compare
Source](https://redirect.github.com/google/adk-python/compare/v1.18.0...v1.19.0)
##### Features
- **\[Core]**
- Add `id` and `custom_metadata` fields to `MemoryEntry`
([4dd28a3](4dd28a3970))
- Add progressive SSE streaming feature
([a5ac1d5](a5ac1d5e14))
- Add a2a\_request\_meta\_provider to RemoteAgent init
([d12468e](d12468ee5a))
- Add feature decorator for the feature registry system
([871da73](871da731f1))
- Breaking: Raise minimum Python version to 3\_10
([8402832](840283228e))
- Refactor and rename BigQuery agent analytics plugin
([6b14f88](6b14f88726))
- Pass custom\_metadata through forwarding artifact service
([c642f13](c642f13f21))
- Update save\_files\_as\_artifacts\_plugin to never keep inline data
([857de04](857de04deb))
- **\[Evals]**
- Add support for InOrder and AnyOrder match in ToolTrajectoryAvgScore
Metric
([e2d3b2d](e2d3b2d862))
- **\[Integrations]**
- Enhance BQ Plugin Schema, Error Handling, and Logging
([5ac5129](5ac5129fb0))
- Schema Enhancements with Descriptions, Partitioning, and Truncation
Indicator
([7c993b0](7c993b01d1))
- **\[Services]**
- Add file-backed artifact service
([99ca6aa](99ca6aa6e6))
- Add service factory for configurable session and artifact backends
([a12ae81](a12ae812d3))
- Add SqliteSessionService and a migration script to migrate existing DB
using DatabaseSessionService to SqliteSessionService
([e218254](e218254495))
- Add transcription fields to session events
([3ad30a5](3ad30a58f9))
- Full async implementation of DatabaseSessionService
([7495941](74959414d8))
- **\[Models]**
- Add experimental feature to use `parameters_json_schema` and
`response_json_schema` for McpTool
([1dd97f5](1dd97f5b45))
- Add support for parsing inline JSON tool calls in LiteLLM responses
([22eb7e5](22eb7e5b06))
- Expose artifact URLs to the model when available
([e3caf79](e3caf79139))
- **\[Tools]**
- Add BigQuery related label handling
([ffbab4c](ffbab4cf4e))
- Allow setting max\_billed\_bytes in BigQuery tools config
([ffbb0b3](ffbb0b37e1))
- Propagate `application_name` set for the BigQuery Tools as BigQuery
job labels
([f13a11e](f13a11e1dc))
- Set per-tool user agent in BQ calls and tool label in BQ jobs
([c0be1df](c0be1df052))
- **\[Observability]**
- Migrate BigQuery logging to Storage Write API
([a2ce34a](a2ce34a0b9))
##### Bug Fixes
- Add `jsonschema` dependency for Agent Builder config validation
([0fa7e46](0fa7e4619d))
- Add None check for `event` in `remote_a2a_agent.py`
([744f94f](744f94f0c8))
- Add vertexai initialization for code being deployed to AgentEngine
([b8e4aed](b8e4aedfbf))
- Change LiteLLM content and tool parameter handling
([a19be12](a19be12c1f))
- Change name for builder agent
([131d39c](131d39c3db))
- Ensure event compaction completes by awaiting task
([b5f5df9](b5f5df9fa8))
- Fix deploy to cloud run on Windows
([29fea7e](29fea7ec1f))
- Fix error handling when MCP server is unreachable
([ee8106b](ee8106be77))
- Fix error when query job destination is None
([0ccc43c](0ccc43cf49))
- Fix Improve logic for checking if a MCP session is disconnected
([a754c96](a754c96d3c))
- Fix McpToolset crashing with anyio.BrokenResourceError
([8e0648d](8e0648df23))
- Fix Safely handle `FunctionDeclaration` without a `required` attribute
([93aad61](93aad61198))
- Fix status code in error message in RestApiTool
([9b75456](9b754564b3))
- Fix Use `async for` to loop through event iterator to get all events
in vertex\_ai\_session\_service
([9211f4c](9211f4ce8c))
- Fix: Fixes DeprecationWarning when using send method
([2882995](2882995289))
- Improve logic for checking if a MCP session is disconnected
([a48a1a9](a48a1a9e88))
- Improve handling of partial and complete transcriptions in live calls
([1819ecb](1819ecb4b8))
- Keep vertex session event after the session update time
([0ec0195](0ec01956e8))
- Let part converters also return multiple parts so they can support
more usecases
([824ab07](824ab07212))
- Load agent/app before creating session
([236f562](236f562cd2))
- Remove app name from FileArtifactService directory structure
([12db84f](12db84f5cd))
- Remove hardcoded `google-cloud-aiplatform` version in agent engine
requirements
([e15e19d](e15e19da05))
- Stop updating write mode in the global settings during tool execution
([5adbf95](5adbf95a0a))
- Update description for `load_artifacts` tool
([c485889](c4858896ff))
##### Improvements
- Add BigQuery related label handling
([ffbab4c](ffbab4cf4e))
- Add demo for rewind
([8eb1bdb](8eb1bdbc58))
- Add debug logging for live connection
([5d5708b](5d5708b2ab))
- Add debug logging for missing function call events
([f3d6fcf](f3d6fcf444))
- Add default retry options as fall back to llm\_request that are made
during evals
([696852a](696852a280))
- Add plugin for returning GenAI Parts from tools into the model request
([116b26c](116b26c33e))
- Add support for abstract types in AFC
([2efc184](2efc184a46))
- Add support for structured output schemas in LiteLLM models
([7ea4aed](7ea4aed35b))
- Add tests for `max_query_result_rows` in BigQuery tool config
([fd33610](fd33610e96))
- Add type hints in `cleanup_unused_files.py`
([2dea573](2dea5733b7))
- Add util to build our llms.txt and llms-full.txt files
- ADK changes
([f1f4467](f1f44675e4))
- Defer import of `google.cloud.storage` in `GCSArtifactService`
([999af55](999af55880))
- Defer import of `live`, `Client` and `_transformers` in `google.genai`
([22c6dbe](22c6dbe83c))
- Enhance the messaging with possible fixes for RESOURCE\_EXHAUSTED
errors from Gemini
([b2c45f8](b2c45f8d91))
- Improve gepa tau-bench colab for external use
([e02f177](e02f177790))
- Improve gepa voter agent demo colab
([d118479](d118479ccf))
- Lazy import DatabaseSessionService in the adk/sessions/ module
([5f05749](5f057498a2))
- Move adk\_agent\_builder\_assistant to built\_in\_agents
([b2b7f2d](b2b7f2d6aa))
- Plumb memory service from LocalEvalService to EvaluationGenerator
([dc3f60c](dc3f60cc93))
- Removes the unrealistic todo comment of visibility management
([e511eb1](e511eb1f70))
- Returns agent state regardless if ctx.is\_resumable
([d6b928b](d6b928bdf7))
- Stop logging the full content of LLM blobs
([0826755](082675546f))
- Update ADK web to match main branch
([14e3802](14e3802643))
- Update agent instructions and retry limit in
`plugin_reflect_tool_retry` sample
([01bac62](01bac62f0c))
- Update conformance test CLI to handle long-running tool calls
([dd706bd](dd706bdc45))
- Update Gemini Live model names in live bidi streaming sample
([aa77834](aa77834e2e))
</details>
---
### Configuration
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## Description
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## Description
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🛠️ Fixes #<issue_number_goes_here>
---------
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
This PR contains the following updates:
| Package | Type | Update | Change |
|---|---|---|---|
| [go](https://go.dev/)
([source](https://redirect.github.com/golang/go)) | toolchain | patch |
`1.25.2` -> `1.25.3` |
---
### Release Notes
<details>
<summary>golang/go (go)</summary>
###
[`v1.25.3`](https://redirect.github.com/golang/go/compare/go1.25.2...go1.25.3)
</details>
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## Description
> Should include a concise description of the changes (bug or feature),
it's
> impact, along with a summary of the solution
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
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🛠️ Fixes #<issue_number_goes_here>
---------
## Description
This commit allows a tool to pull an alternate authorization
token from the header of the http request.
This is initially being built for the Looker integration. Looker
uses its own OAuth token. When deploying MCP Toolbox to Cloud
Run, the default token in the "Authorization" header is for
authentication with Cloud Run. An alternate token can be put into
another header by a client such as ADK or any other client that
can programatically set http headers. This token will be used
to authenticate with Looker.
If needed, other sources can use this by setting the header name
in the source config, passing it into the tool config, and returning
the header name in the Tool GetAuthTokenHeaderName() function.
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
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🛠️Fixes#1540
## Description
Previous merge conflict caused parameter duplications
## PR Checklist
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🛠️ Fixes https://github.com/gemini-cli-extensions/alloydb/issues/97
Bumps [glob](https://github.com/isaacs/node-glob) from 10.4.5 to 10.5.0.
<details>
<summary>Commits</summary>
<ul>
<li><a
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10.5.0</li>
<li><a
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bin: Do not expose filenames to shell expansion</li>
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## Description
> Should include a concise description of the changes (bug or feature),
it's
> impact, along with a summary of the solution
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
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[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
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🛠️ Fixes #<issue_number_goes_here>
To keep a persistent backend storage for configuration, we will have to
keep a single source of truth. This involves supporting bi-directional
conversion for Prompt and Promptsets.
This PR make the following changes:
* Separate Prompt from PromptConfig
* Embed Config in Resources (for both prompt and promptset)
* Add `ToConfig()` to extract Config from Resources (for both prompt and
promptset)
## Description
Temporarily move `server.json` out from the `.registry/` folder. The
mcp-publisher library do not support the `--file` flag yet. A
[PR](https://github.com/modelcontextprotocol/registry/pull/771) was
submitted to add flags for publish subcommand.
## PR Checklist
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are a
> few things you can do to make sure it goes smoothly:
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🛠️ Fixes #<issue_number_goes_here>
## Description
fixed a small typo
## PR Checklist
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🛠️Fixes#1944
## Description
Return error if there's error during query execution. AlloyDB AI NL tool
was failing query silently. When this happened, the user was just
receiving `nil` response and not informed of what the error was.
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
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🛠️Fixes#1949
## Description
Update blunderbuss to include dishaprakash after OOO
## PR Checklist
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🛠️ Fixes #<issue_number_goes_here>
## Description
Unmarshal object_details json string into map to make response have
nested json in spannerlisttables instead of nested JSON string
## PR Checklist
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
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🛠️Fixes#1838
---------
Co-authored-by: Averi Kitsch <akitsch@google.com>
This PR contains the following updates:
| Package | Type | Update | Change |
|---|---|---|---|
| [actions/checkout](https://redirect.github.com/actions/checkout) |
action | pinDigest | -> `08c6903` |
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To keep a persistent backend storage for configuration, we will have to
keep a single source of truth. This involves supporting bi-directional
conversion between ToolsetConfig and Toolset.
This PR make the following changes:
* Embed ToolsetConfig in Toolset
* Add `ToConfig()` to extract ToolsetConfig from Toolset.
To keep a persistent backend storage for configuration, we will have to
keep a single source of truth. This involves supporting bi-directional
conversion between Config and AuthService.
This PR make the following changes:
* Embed Config in AuthService
* Add `ToConfig()` to extract Config from AuthService.
To keep a persistent backend storage for configuration, we will have to
keep a single source of truth. This involves supporting bi-directional
conversion between Config and Tool.
This PR make the following changes:
* Embed Config in Tool
* Add `ToConfig()` to extract Config from Tool.
Jules PR
---
*PR created automatically by Jules for task
[11947649751737965380](https://jules.google.com/task/11947649751737965380)*
---------
Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
Co-authored-by: Yuan Teoh <yuanteoh@google.com>
To keep a persistent backend storage for configuration, we will have to
keep a single source of truth. This involves supporting bi-directional
conversion between Config and Source.
This PR make the following changes:
* Embed Config in Source
* Add `ToConfig()` to extract Config from Source.
To facilitate the transition of moving invocation implementation to
Source, we will have to move parameter to `internal/util`. This approach
is crucial because certain parameters may not be fully resolvable
pre-implementation. Since both `internal/sources` and `internal/tools`
will need access to `parameters`, it will be more relevant to move
parameters implementation to utils.
## Description
Set up product specific automation
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [ ] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [ ] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [ ] Ensure the tests and linter pass
- [ ] Code coverage does not decrease (if any source code was changed)
- [ ] Appropriate docs were updated (if necessary)
- [ ] Make sure to add `!` if this involve a breaking change
🛠️ Fixes #<issue_number_goes_here>
## Description
> Should include a concise description of the changes (bug or feature),
it's
> impact, along with a summary of the solution
This PR adds a new tool to the Looker MCP Toolbox, that enables the user
authenticated to the Looker Source to generate authenticated embed urls
for dashboards, looks and queries. When combined with other tools that
already exist in the Looker toolbox, this enables searching existing
content and providing authenticated urls to them OR creating
authenticated urls from queries generated via Natural Language. The
embed urls will create an embed session for the user and can be opened
directly or added to an iframe `src` attribute to provide a smooth
Embedded Analytics setup.
Additionally this PR adds a new optional parameter to the Looker source
called `SessionLength` which an admin setting up the Looker source can
set to determine how long the Embed sessions last for.
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [ X] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [ X] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [ ] Ensure the tests and linter pass
- [ X] Code coverage does not decrease (if any source code was changed)
- [X ] Appropriate docs were updated (if necessary)
- [ X] Make sure to add `!` if this involve a breaking change
🛠️Fixes#1876https://github.com/googleapis/genai-toolbox/issues/1876
---------
Co-authored-by: Luka Fontanilla <maluka@google.com>
Co-authored-by: Dr. Strangelove <drstrangelove@google.com>
## Description
As the codebase gets bigger, the linter takes longer to run. Currently
it is running in an average of 3 minutes and 30 seconds or so, but
occasionally goes to 4 minutes, which causes a failure since it hits the
timeout.
The unit tests all take 10 to 15 minutes to run, so setting the timeout
to 10m will give plenty of time for the linter to run.
## Description
> Should include a concise description of the changes (bug or feature),
it's
> impact, along with a summary of the solution
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [ ] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [ ] Appropriate docs were updated (if necessary)
- [ ] Make sure to add `!` if this involve a breaking change
🛠️ Fixes #<issue_number_goes_here>
## Description
This PR adds a new [github
action](https://github.com/modelcontextprotocol/registry/blob/main/docs/guides/publishing/github-actions.md)
workflow to publish Toolbox to mcp-registry. This only publishes the
custom tools server, prebuilt-tools will be added in a different PR once
this is successful.
The workflow will be triggered on (1) any new release tag (v*) or (2)
manually via GHA workflow dispatch. It will grab the version number from
the `server.json` file.
The server.json file will be updated by release please during every
release.
Note: server that are published in the mcp-registry is immutable. In
cases where we successfully published a server and would like to make an
update, we will have to update the `version` field in
`.registry/server.json` and manually publish another server with a new
version.
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
🛠️Fixes#1659
Issue at mcp-registry to support GAR
([#427](https://github.com/modelcontextprotocol/registry/issues/427))
## Description
This pull request addresses issue
[#29](https://github.com/gemini-cli-extensions/mysql/issues/29) by
implementing default connection values for the MySQL data source. When a
user does not specify a host or port, the connection will now
automatically default to localhost:3306.
### Detailed Changes
1. **internal/prebuiltconfigs/tools/mysql.yaml**
- Added the default values to host and port.Specifically, they are now
host: ${MYSQL_HOST:localhost} and port: ${MYSQL_PORT:3306}.This allows
the configuration loader to directly use "localhost" or "3306" as a
fallback if the MYSQL_HOST or MYSQL_PORT environment variables are not
set.
**Testing and Validation**
To ensure the changes work correctly and are compatible with MySQL-like
databases, the feature was manually tested against a MariaDB instance
running in a Docker container.
The testing process involved the following steps:
1. A local testdb database with a products table was created in the
MariaDB container.
2. For Gemini CLI integration, the ~/.gemini/settings.json file was
configured to point to a local build of the toolbox executable.
3. The toolbox was launched in UI mode using the **_./toolbox
--prebuilt=mysql --ui_** command.
4. Two connection scenarios were tested to validate the new logic.
**Test 1: Default Connection (Host/Port Unset)**
The MYSQL_HOST and MYSQL_PORT environment variables were unset. The
application correctly defaulted to localhost:3306 and successfully
connected to the testdb database.
<img width="2087" height="1102" alt="Screenshot 2025-11-11 11 31 45 PM"
src="https://github.com/user-attachments/assets/a8ef5f92-eaca-472f-a0df-e2b3c0c027da"
/>
**Test 2: Explicit Connection (Host/Port Set)**
The MYSQL_HOST and MYSQL_PORT environment variables were explicitly set.
The application correctly used these values, overriding the defaults and
establishing a successful connection.
<img width="2073" height="958" alt="Screenshot 2025-11-11 6 12 44 PM"
src="https://github.com/user-attachments/assets/4b9b8838-091f-4c78-9e3b-97768323693c"
/>
**Result:**
In both scenarios, the list_tables prebuilt tool was executed via the
Toolbox UI, which successfully returned the products table from the
testdb database, confirming the changes work as expected.
Screenshot of list_tables execution from the Toolbox UI:
<img width="2251" height="1240" alt="result"
src="https://github.com/user-attachments/assets/f1c5372d-acc0-4551-af2d-fa1ee4b228d7"
/>
## PR Checklist
> Thank you for opening a Pull Request! Before submitting your PR, there
are a
> few things you can do to make sure it goes smoothly:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [ ] Ensure the tests and linter pass
- [ ] Code coverage does not decrease (if any source code was changed)
- [ ] Appropriate docs were updated (if necessary)
- [ ] Make sure to add `!` if this involve a breaking change
🛠️ Fixes [#29](https://github.com/gemini-cli-extensions/mysql/issues/29)
---------
Co-authored-by: prernakakkar-google <158031829+prernakakkar-google@users.noreply.github.com>
### Description
This pull request addresses issue #41 by implementing default connection
values for the Postgresql data source. When a user does not specify a
host or port, the connection will now automatically default to
`localhost:5432`.
---
### Detailed Changes
- **docs/en/reference/prebuilt-tools.md**
-updated the env variables host and port to optional in the doc
- **internal/prebuiltconfigs/tools/postgres.yaml**
- Added the default values to host and port. Specifically, they are now
`host: ${POSTGRES_HOST:localhost}` and `port: ${POSTGRES_PORT:5432}`.
This allows the configuration loader to directly use `"localhost"` or
`"5432"` as a fallback if the `POSTGRES_HOST` or `POSTGRES_PORT`
environment variables are not set.
---
### PR Checklist
Thank you for opening a Pull Request! Before submitting your PR, there
are a few things you can do to make sure it goes smoothly:
- [ ] Make sure you reviewed
CONTRIBUTING.md
- [ ] Make sure to open an issue as a
bug/issue
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [ ] Ensure the tests and linter pass
- [ ] Code coverage does not decrease (if any source code was changed)
- [ ] Appropriate docs were updated (if necessary)
- [ ] Make sure to add ! if this involve a breaking change
🛠️ **Fixes** #41
---------
Co-authored-by: Averi Kitsch <akitsch@google.com>
* **tools/postgres:** Add allowed-origins flag ([#1984](https://github.com/googleapis/genai-toolbox/issues/1984)) ([862868f](https://github.com/googleapis/genai-toolbox/commit/862868f28476ea981575ce412faa7d6a03138f31))
* **tools/postgres:** Add list-query-stats and get-column-cardinality functions ([#1976](https://github.com/googleapis/genai-toolbox/issues/1976)) ([9f76026](https://github.com/googleapis/genai-toolbox/commit/9f760269253a8cc92a357e995c6993ccc4a0fb7b))
* **tools/spanner:** Add spanner list graphs to prebuiltconfigs ([#2056](https://github.com/googleapis/genai-toolbox/issues/2056)) ([0e7fbf4](https://github.com/googleapis/genai-toolbox/commit/0e7fbf465c488397aa9d8cab2e55165fff4eb53c))
* Support alternate accessToken header name ([#1968](https://github.com/googleapis/genai-toolbox/issues/1968)) ([18017d6](https://github.com/googleapis/genai-toolbox/commit/18017d6545335a6fc1c472617101c35254d9a597))
* Support for annotations ([#2007](https://github.com/googleapis/genai-toolbox/issues/2007)) ([ac21335](https://github.com/googleapis/genai-toolbox/commit/ac21335f4e88ca52d954d7f8143a551a35661b94))
* **tool/mssql:** Set default host and port for MSSQL source ([#1943](https://github.com/googleapis/genai-toolbox/issues/1943)) ([7a9cc63](https://github.com/googleapis/genai-toolbox/commit/7a9cc633768d9ae9a7ff8230002da69d6a36ca86))
* Add import for firebirdsql ([#2045](https://github.com/googleapis/genai-toolbox/issues/2045)) ([fb7aae9](https://github.com/googleapis/genai-toolbox/commit/fb7aae9d35b760d3471d8379642f835a0d84ec41))
* Correct FAQ to mention HTTP tools ([#2036](https://github.com/googleapis/genai-toolbox/issues/2036)) ([7b44237](https://github.com/googleapis/genai-toolbox/commit/7b44237d4a21bfbf8d3cebe4d32a15affa29584d))
* Format BigQuery numeric output as decimal strings ([#2084](https://github.com/googleapis/genai-toolbox/issues/2084)) ([155bff8](https://github.com/googleapis/genai-toolbox/commit/155bff80c1da4fae1e169e425fd82e1dc3373041))
* Set default annotations for tools in code if annotation not provided in yaml ([#2049](https://github.com/googleapis/genai-toolbox/issues/2049)) ([565460c](https://github.com/googleapis/genai-toolbox/commit/565460c4ea8953dbe80070a8e469f957c0f7a70c))
* **tools/alloydb-postgres-list-tables:** Exclude google_ml schema from list_tables ([#2046](https://github.com/googleapis/genai-toolbox/issues/2046)) ([a03984c](https://github.com/googleapis/genai-toolbox/commit/a03984cc15254c928f30085f8fa509ded6a79a0c))
* **tools/alloydbcreateuser:** Remove duplication of project praram ([#2028](https://github.com/googleapis/genai-toolbox/issues/2028)) ([730ac6d](https://github.com/googleapis/genai-toolbox/commit/730ac6d22805fd50b4a675b74c1865f4e7689e7c))
* **tools/mongodb:** Remove `required` tag from the `canonical` field ([#2099](https://github.com/googleapis/genai-toolbox/issues/2099)) ([744214e](https://github.com/googleapis/genai-toolbox/commit/744214e04cd12b11d166e6eb7da8ce4714904abc))
* **tools/spanner-list-tables:** Unmarshal `object_details` json string into map to make response have nested json ([#1894](https://github.com/googleapis/genai-toolbox/issues/1894)) ([446d62a](https://github.com/googleapis/genai-toolbox/commit/446d62acd995d5128f52e9db254dd1c7138227c6))
### Features
* **tools/postgres:** Add `long_running_transactions`, `list_locks` and `replication_stats` tools ([#1751](https://github.com/googleapis/genai-toolbox/issues/1751)) ([5abad5d](https://github.com/googleapis/genai-toolbox/commit/5abad5d56c6cc5ba86adc5253b948bf8230fa830))
* Added prompt support for toolbox ([#1798](https://github.com/googleapis/genai-toolbox/issues/1798)) ([cd56ea4](https://github.com/googleapis/genai-toolbox/commit/cd56ea44fbdd149fcb92324e70ee36ac747635db))
* **source/alloydb, source/cloud-sql-postgres,source/cloud-sql-mysql,source/cloud-sql-mssql:** Use project from env for alloydb and cloud sql control plane tools ([#1588](https://github.com/googleapis/genai-toolbox/issues/1588)) ([12bdd95](https://github.com/googleapis/genai-toolbox/commit/12bdd954597e49d3ec6b247cc104584c5a4d1943))
* **source/mysql:** Set default host and port for MySQL source ([#1922](https://github.com/googleapis/genai-toolbox/issues/1922)) ([2c228ef](https://github.com/googleapis/genai-toolbox/commit/2c228ef4f2d4cb8dfc41e845466bfe3566d141a1))
* **source/Postgresql:** Set default host and port for Postgresql source ([#1927](https://github.com/googleapis/genai-toolbox/issues/1927)) ([7e6e88a](https://github.com/googleapis/genai-toolbox/commit/7e6e88a21f2b9b60e0d645cdde33a95892d31a04))
author for more than 10 days, maintainers may mark that PR as Draft. PRs that
are inactive for more than 30 days may be closed.
### Automated Code Reviews
This repository uses **Gemini Code Assist** to provide automated code reviews on Pull Requests. While this does not replace human review, it provides immediate feedback on code quality and potential issues.
You can manually trigger the bot by commenting on your Pull Request:
*`/gemini`: Manually invokes Gemini Code Assist in comments
*`/gemini review`: Posts a code review of the changes in the pull request
*`/gemini summary`: Posts a summary of the changes in the pull request.
*`/gemini help`: Overview of the available commands
@@ -255,18 +255,25 @@ Follow these steps to preview documentation changes locally using a Hugo server:
There are 3 GHA workflows we use to achieve document versioning:
1. **Deploy In-development docs:**
This workflow is run on every commit merged into the main branch. It deploys the built site to the `/dev/` subdirectory for the in-development documentation.
This workflow is run on every commit merged into the main branch. It deploys
the built site to the `/dev/` subdirectory for the in-development
documentation.
1. **Deploy Versioned Docs:**
When a new GitHub Release is published, it performs two deployments based on the new release tag.
One to the new version subdirectory and one to the root directory of the versioned-gh-pages branch.
When a new GitHub Release is published, it performs two deployments based on
the new release tag. One to the new version subdirectory and one to the root
directory of the versioned-gh-pages branch.
**Note:** Before the release PR from release-please is merged, add the newest version into the hugo.toml file.
**Note:** Before the release PR from release-please is merged, add the
newest version into the hugo.toml file.
1. **Deploy Previous Version Docs:**
This is a manual workflow, started from the GitHub Actions UI.
To rebuild and redeploy documentation for an already released version that were released before this new system was in place. This workflow can be started on the UI by providing the git version tag which you want to create the documentation for.
The specific versioned subdirectory and the root docs are updated on the versioned-gh-pages branch.
To rebuild and redeploy documentation for an already released version that
were released before this new system was in place. This workflow can be
started on the UI by providing the git version tag which you want to create
the documentation for. The specific versioned subdirectory and the root docs
are updated on the versioned-gh-pages branch.
#### Contributors
@@ -337,7 +344,9 @@ for instructions on developing Toolbox SDKs.
Team `@googleapis/senseai-eco` has been set as
[CODEOWNERS](.github/CODEOWNERS). The GitHub TeamSync tool is used to create
this team from MDB Group, `senseai-eco`.
this team from MDB Group, `senseai-eco`. Additionally, database-specific GitHub
teams (e.g., `@googleapis/toolbox-alloydb`) have been created from MDB groups to
manage code ownership and review for individual database products.
Team `@googleapis/toolbox-contributors` has write access to this repo. They
can create branches and approve test runs. But they do not have the ability
This document helps you find and install the right Gemini CLI extension to interact with your databases.
This document helps you find and install the right Gemini CLI extension to
interact with your databases.
## How to Install an Extension
To install any of the extensions listed below, use the `gemini extensions install` command followed by the extension's GitHub repository URL.
To install any of the extensions listed below, use the `gemini extensions
install` command followed by the extension's GitHub repository URL.
For complete instructions on finding, installing, and managing extensions, please see the [official Gemini CLI extensions documentation](https://github.com/google-gemini/gemini-cli/blob/main/docs/extensions/index.md).
For complete instructions on finding, installing, and managing extensions,
* These commands are not supported from within the CLI
* These commands will only be reflected in active CLI sessions on restart
* Extensions require Application Default Credentials in your environment. See [Set up ADC for a local development environment](https://cloud.google.com/docs/authentication/set-up-adc-local-dev-environment) to learn how you can provide either your user credentials or service account credentials to ADC in a local development environment.
* Most extensions require you to set environment variables to connect to a database. If there is a link provided for the configuration, fetch the web page and return the configuration.
* Extensions require Application Default Credentials in your environment. See
to learn how you can provide either your user credentials or service account
credentials to ADC in a local development environment.
* Most extensions require you to set environment variables to connect to a
database. If there is a link provided for the configuration, fetch the web
page and return the configuration.
-----
## Find Your Database Extension
Find your database or service in the list below to get the correct installation command.
Find your database or service in the list below to get the correct installation
command.
**Note on Observability:** Extensions with `-observability` in their name are designed to help you understand the health and performance of your database instances, often by analyzing metrics and logs.
**Note on Observability:** Extensions with `-observability` in their name are
designed to help you understand the health and performance of your database
If you are looking for other PostgreSQL options, consider the `postgres` extension for self-hosted instances, or the `alloydb` extension for AlloyDB for PostgreSQL.
If you are looking for other PostgreSQL options, consider the `postgres`
extension for self-hosted instances, or the `alloydb` extension for AlloyDB
If you are looking for other PostgreSQL options, consider the `postgres` extension for self-hosted instances, or the `cloud-sql-postgresql` extension for Cloud SQL for PostgreSQL.
If you are looking for other PostgreSQL options, consider the `postgres`
extension for self-hosted instances, or the `cloud-sql-postgresql` extension
This extension can be used with any Google Cloud database to build custom tools. For more information, see the [MCP Toolbox documentation](https://googleapis.github.io/genai-toolbox/getting-started/introduction/).
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.")
flags.BoolVar(&cmd.cfg.UI,"ui",false,"Launches the Toolbox UI web server.")
flags.StringSliceVar(&cmd.cfg.AllowedOrigins,"allowed-origins",[]string{"*"},"Specifies a list of origins permitted to access this server. Defaults to '*'.")
// wrap RunE command so that we have access to original Command object
The AlloyDB Model Context Protocol (MCP) Server gives AI-powered development tools the ability to work with your Google Cloud AlloyDB for PostgreSQL resources. It supports full lifecycle control, from creating clusters and instances to exploring schemas and running queries.
## Features
An editor configured to use the AlloyDB MCP server can use its AI capabilities to help you:
* **Provision & Manage Infrastructure**: Create and manage AlloyDB clusters, instances, and users
To connect to the database to explore and query data, search the MCP store for the AlloyDB for PostgreSQL MCP Server.
## Prerequisites
* [Node.js](https://nodejs.org/) installed.
* A Google Cloud project with the **AlloyDB API** enabled.
* Ensure [Application Default Credentials](https://cloud.google.com/docs/authentication/gcloud) are available in your environment.
* Service Usage Consumer (`roles/serviceusage.serviceUsageConsumer`)
## Install & Configuration
In the Antigravity MCP Store, click the "Install" button.
You'll now be able to see all enabled tools in the "Tools" tab.
> [!NOTE]
> If you encounter issues with Windows Defender blocking the execution, you may need to configure an allowlist. See [Configure exclusions for Microsoft Defender Antivirus](https://learn.microsoft.com/en-us/microsoft-365/security/defender-endpoint/configure-exclusions-microsoft-defender-antivirus?view=o365-worldwide) for more details.
## Usage
Once configured, the MCP server will automatically provide AlloyDB capabilities to your AI assistant. You can:
* "Create a new AlloyDB cluster named 'e-commerce-prod' in the 'my-gcp-project' project."
* "Add a read-only instance to my 'e-commerce-prod' cluster."
* "Create a new user named 'analyst' with read access to all tables."
## Server Capabilities
The AlloyDB MCP server provides the following tools:
The AlloyDB Model Context Protocol (MCP) Server gives AI-powered development tools the ability to work with your Google Cloud AlloyDB for PostgreSQL resources. It supports full lifecycle control, from exploring schemas and running queries to monitoring your database.
## Features
An editor configured to use the AlloyDB MCP server can use its AI capabilities to help you:
- **Explore Schemas and Data** - List tables, get table details, and view data
- **Execute SQL** - Run SQL queries directly from your editor
- **Monitor Performance** - View active queries, query plans, and other performance metrics (via observability tools)
- **Manage Extensions** - List available and installed PostgreSQL extensions
For AlloyDB infrastructure management, search the MCP store for the AlloyDB for PostgreSQL Admin MCP Server.
## Prerequisites
* [Node.js](https://nodejs.org/) installed.
* A Google Cloud project with the **AlloyDB API** enabled.
* Ensure [Application Default Credentials](https://cloud.google.com/docs/authentication/gcloud) are available in your environment.
* IAM Permissions:
* AlloyDB Client (`roles/alloydb.client`) (for connecting and querying)
* Service Usage Consumer (`roles/serviceusage.serviceUsageConsumer`)
> **Note:** If your AlloyDB instance uses private IPs, you must run the MCP server in the same Virtual Private Cloud (VPC) network.
## Install & Configuration
1. In the Antigravity MCP Store, click the "Install" button.
2. Add the required inputs for your [cluster](https://docs.cloud.google.com/alloydb/docs/cluster-list) in the configuration pop-up, then click "Save". You can update this configuration at any time in the "Configure" tab.
> [!NOTE]
> If you encounter issues with Windows Defender blocking the execution, you may need to configure an allowlist. See [Configure exclusions for Microsoft Defender Antivirus](https://learn.microsoft.com/en-us/microsoft-365/security/defender-endpoint/configure-exclusions-microsoft-defender-antivirus?view=o365-worldwide) for more details.
You'll now be able to see all enabled tools in the "Tools" tab.
## Usage
Once configured, the MCP server will automatically provide AlloyDB capabilities to your AI assistant. You can:
* "Show me all tables in the 'orders' database."
* "What are the columns in the 'products' table?"
* "How many orders were placed in the last 30 days?"
## Server Capabilities
The AlloyDB MCP server provides the following tools:
The BigQuery Model Context Protocol (MCP) Server enables AI-powered development tools to seamlessly connect, interact, and generate data insights with your BigQuery datasets and data using natural language commands.
## Features
An editor configured to use the BigQuery MCP server can use its AI capabilities to help you:
- **Natural Language to Data Analytics:** Easily find required BigQuery tables and ask analytical questions in plain English.
- **Seamless Workflow:** Stay within your CLI, eliminating the need to constantly switch to the GCP console for generating analytical insights.
- **Run Advanced Analytics:** Generate forecasts and perform contribution analysis using built-in advanced tools.
## Prerequisites
* [Node.js](https://nodejs.org/) installed.
* A Google Cloud project with the **BigQuery API** enabled.
* Ensure [Application Default Credentials](https://cloud.google.com/docs/authentication/gcloud) are available in your environment.
* IAM Permissions:
* BigQuery User (`roles/bigquery.user`)
## Install & Configuration
1. In the Antigravity MCP Store, click the "Install" button.
2. Add the required inputs in the configuration pop-up, then click "Save". You can update this configuration at any time in the "Configure" tab.
> [!NOTE]
> If you encounter issues with Windows Defender blocking the execution, you may need to configure an allowlist. See [Configure exclusions for Microsoft Defender Antivirus](https://learn.microsoft.com/en-us/microsoft-365/security/defender-endpoint/configure-exclusions-microsoft-defender-antivirus?view=o365-worldwide) for more details.
You'll now be able to see all enabled tools in the "Tools" tab.
### Usage
Once configured, the MCP server will automatically provide BigQuery capabilities to your AI assistant. You can:
***Find Data:**
* "Find tables related to PyPi downloads"
* "Find tables related to Google analytics data in the dataset bigquery-public-data"
***Generate Analytics and Insights:**
* "Using bigquery-public-data.pypi.file_downloads show me the top 10 downloaded pypi packages this month."
* "Using bigquery-public-data.pypi.file_downloads can you forecast downloads for the last four months of 2025 for package urllib3?"
## Server Capabilities
The BigQuery MCP server provides the following tools:
The Cloud SQL for SQL Server Model Context Protocol (MCP) Server gives AI-powered development tools the ability to work with your Google Cloud SQL for SQL Server databases. It supports connecting to instances, exploring schemas, and running queries.
## Features
An editor configured to use the Cloud SQL for SQL Server MCP server can use its AI capabilities to help you:
- **Provision & Manage Infrastructure** - Create and manage Cloud SQL instances and users
To connect to the database to explore and query data, search the MCP store for the Cloud SQL for SQL Server MCP Server.
## Prerequisites
* [Node.js](https://nodejs.org/) installed.
* A Google Cloud project with the **Cloud SQL Admin API** enabled.
* Ensure [Application Default Credentials](https://cloud.google.com/docs/authentication/gcloud) are available in your environment.
* IAM Permissions:
* Cloud SQL Viewer (`roles/cloudsql.viewer`)
* Cloud SQL Admin (`roles/cloudsql.admin`)
## Install & Configuration
In the Antigravity MCP Store, click the "Install" button.
You'll now be able to see all enabled tools in the "Tools" tab.
> [!NOTE]
> If you encounter issues with Windows Defender blocking the execution, you may need to configure an allowlist. See [Configure exclusions for Microsoft Defender Antivirus](https://learn.microsoft.com/en-us/microsoft-365/security/defender-endpoint/configure-exclusions-microsoft-defender-antivirus?view=o365-worldwide) for more details.
## Usage
Once configured, the MCP server will automatically provide Cloud SQL for SQL Server capabilities to your AI assistant. You can:
* "Create a new Cloud SQL for SQL Server instance named 'e-commerce-prod' in the 'my-gcp-project' project."
* "Create a new user named 'analyst' with read access to all tables."
## Server Capabilities
The Cloud SQL for SQL Server MCP server provides the following tools:
The Cloud SQL for SQL Server Model Context Protocol (MCP) Server gives AI-powered development tools the ability to work with your Google Cloud SQL for SQL Server databases. It supports connecting to instances, exploring schemas, and running queries.
## Features
An editor configured to use the Cloud SQL for SQL Server MCP server can use its AI capabilities to help you:
- **Query Data** - Execute SQL queries
- **Explore Schema** - List tables and view schema details
For Cloud SQL infrastructure management, search the MCP store for the Cloud SQL for SQL Server Admin MCP Server.
## Prerequisites
* [Node.js](https://nodejs.org/) installed.
* A Google Cloud project with the **Cloud SQL Admin API** enabled.
* Ensure [Application Default Credentials](https://cloud.google.com/docs/authentication/gcloud) are available in your environment.
* IAM Permissions:
* Cloud SQL Client (`roles/cloudsql.client`)
> **Note:** If your instance uses private IPs, you must run the MCP server in the same Virtual Private Cloud (VPC) network.
## Install & Configuration
1. In the Antigravity MCP Store, click the "Install" button.
2. Add the required inputs for your [instance](https://cloud.google.com/sql/docs/sqlserver/instance-info) in the configuration pop-up, then click "Save". You can update this configuration at any time in the "Configure" tab.
You'll now be able to see all enabled tools in the "Tools" tab.
> [!NOTE]
> If you encounter issues with Windows Defender blocking the execution, you may need to configure an allowlist. See [Configure exclusions for Microsoft Defender Antivirus](https://learn.microsoft.com/en-us/microsoft-365/security/defender-endpoint/configure-exclusions-microsoft-defender-antivirus?view=o365-worldwide) for more details.
## Usage
Once configured, the MCP server will automatically provide Cloud SQL for SQL Server capabilities to your AI assistant. You can:
* "Select top 10 rows from the customers table."
* "List all tables in the database."
## Server Capabilities
The Cloud SQL for SQL Server MCP server provides the following tools:
The Cloud SQL for MySQL Model Context Protocol (MCP) Server gives AI-powered development tools the ability to work with your Google Cloud SQL for MySQL databases. It supports connecting to instances, exploring schemas, and running queries.
## Features
An editor configured to use the Cloud SQL for MySQL MCP server can use its AI capabilities to help you:
- **Provision & Manage Infrastructure** - Create and manage Cloud SQL instances and users
To connect to the database to explore and query data, search the MCP store for the Cloud SQL for MySQL MCP Server.
## Prerequisites
* [Node.js](https://nodejs.org/) installed.
* A Google Cloud project with the **Cloud SQL Admin API** enabled.
* Ensure [Application Default Credentials](https://cloud.google.com/docs/authentication/gcloud) are available in your environment.
* IAM Permissions:
* Cloud SQL Viewer (`roles/cloudsql.viewer`)
* Cloud SQL Admin (`roles/cloudsql.admin`)
## Install & Configuration
In the Antigravity MCP Store, click the "Install" button.
You'll now be able to see all enabled tools in the "Tools" tab.
> [!NOTE]
> If you encounter issues with Windows Defender blocking the execution, you may need to configure an allowlist. See [Configure exclusions for Microsoft Defender Antivirus](https://learn.microsoft.com/en-us/microsoft-365/security/defender-endpoint/configure-exclusions-microsoft-defender-antivirus?view=o365-worldwide) for more details.
## Usage
Once configured, the MCP server will automatically provide Cloud SQL for MySQL capabilities to your AI assistant. You can:
* "Create a new Cloud SQL for MySQL instance named 'e-commerce-prod' in the 'my-gcp-project' project."
* "Create a new user named 'analyst' with read access to all tables."
## Server Capabilities
The Cloud SQL for MySQL MCP server provides the following tools:
The Cloud SQL for MySQL Model Context Protocol (MCP) Server gives AI-powered development tools the ability to work with your Google Cloud SQL for MySQL databases. It supports connecting to instances, exploring schemas, and running queries.
## Features
An editor configured to use the Cloud SQL for MySQL MCP server can use its AI capabilities to help you:
- **Explore Schema** - List tables and view schema details
- **Database Maintenance** - Check for fragmentation and missing indexes
- **Monitor Performance** - View active queries
For Cloud SQL infrastructure management, search the MCP store for the Cloud SQL for MySQL Admin MCP Server.
## Prerequisites
* [Node.js](https://nodejs.org/) installed.
* A Google Cloud project with the **Cloud SQL Admin API** enabled.
* Ensure [Application Default Credentials](https://cloud.google.com/docs/authentication/gcloud) are available in your environment.
* IAM Permissions:
* Cloud SQL Client (`roles/cloudsql.client`)
> **Note:** If your instance uses private IPs, you must run the MCP server in the same Virtual Private Cloud (VPC) network.
## Install & Configuration
1. In the Antigravity MCP Store, click the "Install" button.
2. Add the required inputs for your [instance](https://cloud.google.com/sql/docs/mysql/instance-info) in the configuration pop-up, then click "Save". You can update this configuration at any time in the "Configure" tab.
You'll now be able to see all enabled tools in the "Tools" tab.
> [!NOTE]
> If you encounter issues with Windows Defender blocking the execution, you may need to configure an allowlist. See [Configure exclusions for Microsoft Defender Antivirus](https://learn.microsoft.com/en-us/microsoft-365/security/defender-endpoint/configure-exclusions-microsoft-defender-antivirus?view=o365-worldwide) for more details.
## Usage
Once configured, the MCP server will automatically provide Cloud SQL for MySQL capabilities to your AI assistant. You can:
* "Show me the schema for the 'orders' table."
* "List the top 10 active queries."
* "Check for tables missing unique indexes."
## Server Capabilities
The Cloud SQL for MySQL MCP server provides the following tools:
The Cloud SQL for PostgreSQL Model Context Protocol (MCP) Server gives AI-powered development tools the ability to work with your Google Cloud SQL for PostgreSQL databases. It supports connecting to instances, exploring schemas, running queries, and analyzing performance.
## Features
An editor configured to use the Cloud SQL for PostgreSQL MCP server can use its AI capabilities to help you:
- **Provision & Manage Infrastructure** - Create and manage Cloud SQL instances and users
To connect to the database to explore and query data, search the MCP store for the Cloud SQL for PostgreSQL MCP Server.
## Prerequisites
* [Node.js](https://nodejs.org/) installed.
* A Google Cloud project with the **Cloud SQL Admin API** enabled.
* Ensure [Application Default Credentials](https://cloud.google.com/docs/authentication/gcloud) are available in your environment.
* IAM Permissions:
* Cloud SQL Viewer (`roles/cloudsql.viewer`)
* Cloud SQL Admin (`roles/cloudsql.admin`)
## Install & Configuration
In the Antigravity MCP Store, click the "Install" button.
You'll now be able to see all enabled tools in the "Tools" tab.
> [!NOTE]
> If you encounter issues with Windows Defender blocking the execution, you may need to configure an allowlist. See [Configure exclusions for Microsoft Defender Antivirus](https://learn.microsoft.com/en-us/microsoft-365/security/defender-endpoint/configure-exclusions-microsoft-defender-antivirus?view=o365-worldwide) for more details.
## Usage
Once configured, the MCP server will automatically provide Cloud SQL for PostgreSQL capabilities to your AI assistant. You can:
* "Create a new Cloud SQL for Postgres instance named 'e-commerce-prod' in the 'my-gcp-project' project."
* "Create a new user named 'analyst' with read access to all tables."
## Server Capabilities
The Cloud SQL for PostgreSQL MCP server provides the following tools:
The Cloud SQL for PostgreSQL Model Context Protocol (MCP) Server gives AI-powered development tools the ability to work with your Google Cloud SQL for PostgreSQL databases. It supports connecting to instances, exploring schemas, running queries, and analyzing performance.
## Features
An editor configured to use the Cloud SQL for PostgreSQL MCP server can use its AI capabilities to help you:
- **Explore Schema** - List tables, views, indexes, and triggers
- **Monitor Performance** - View active queries, bloat, and memory configurations
- **Manage Extensions** - List available and installed extensions
For Cloud SQL infrastructure management, search the MCP store for the Cloud SQL for PostgreSQL Admin MCP Server.
## Prerequisites
* [Node.js](https://nodejs.org/) installed.
* A Google Cloud project with the **Cloud SQL Admin API** enabled.
* Ensure [Application Default Credentials](https://cloud.google.com/docs/authentication/gcloud) are available in your environment.
* IAM Permissions:
* Cloud SQL Client (`roles/cloudsql.client`)
> **Note:** If your instance uses private IPs, you must run the MCP server in the same Virtual Private Cloud (VPC) network.
## Install & Configuration
1. In the Antigravity MCP Store, click the "Install" button.
2. Add the required inputs for your [instance](https://cloud.google.com/sql/docs/postgres/instance-info) in the configuration pop-up, then click "Save". You can update this configuration at any time in the "Configure" tab.
You'll now be able to see all enabled tools in the "Tools" tab.
> [!NOTE]
> If you encounter issues with Windows Defender blocking the execution, you may need to configure an allowlist. See [Configure exclusions for Microsoft Defender Antivirus](https://learn.microsoft.com/en-us/microsoft-365/security/defender-endpoint/configure-exclusions-microsoft-defender-antivirus?view=o365-worldwide) for more details.
## Usage
Once configured, the MCP server will automatically provide Cloud SQL for PostgreSQL capabilities to your AI assistant. You can:
* "Show me the top 5 bloated tables."
* "List all installed extensions."
* "Explain the query plan for SELECT * FROM users."
## Server Capabilities
The Cloud SQL for PostgreSQL MCP server provides the following tools:
The Dataplex Model Context Protocol (MCP) Server gives AI-powered development tools the ability to work with your Google Cloud Dataplex Catalog. It supports searching and looking up entries and aspect types.
## Features
An editor configured to use the Dataplex MCP server can use its AI capabilities to help you:
- **Search Catalog** - Search for entries in Dataplex Catalog
- **Explore Metadata** - Lookup specific entries and search aspect types
## Prerequisites
* [Node.js](https://nodejs.org/) installed.
* A Google Cloud project with the **Dataplex API** enabled.
* Ensure [Application Default Credentials](https://cloud.google.com/docs/authentication/gcloud) are available in your environment.
* IAM Permissions:
* Dataplex Viewer (`roles/dataplex.viewer`) or equivalent permissions to read catalog entries.
## Install & Configuration
1. In the Antigravity MCP Store, click the "Install" button.
2. Add the required inputs in the configuration pop-up, then click "Save". You can update this configuration at any time in the "Configure" tab.
You'll now be able to see all enabled tools in the "Tools" tab.
> [!NOTE]
> If you encounter issues with Windows Defender blocking the execution, you may need to configure an allowlist. See [Configure exclusions for Microsoft Defender Antivirus](https://learn.microsoft.com/en-us/microsoft-365/security/defender-endpoint/configure-exclusions-microsoft-defender-antivirus?view=o365-worldwide) for more details.
## Usage
Once configured, the MCP server will automatically provide Dataplex capabilities to your AI assistant. You can:
* "Search for entries related to 'sales' in Dataplex."
* "Look up details for the entry 'projects/my-project/locations/us-central1/entryGroups/my-group/entries/my-entry'."
## Server Capabilities
The Dataplex MCP server provides the following tools:
The Looker Model Context Protocol (MCP) Server gives AI-powered development tools the ability to work with your Looker instance. It supports exploring models, running queries, managing dashboards, and more.
## Features
An editor configured to use the Looker MCP server can use its AI capabilities to help you:
- **Explore Models** - Get models, explores, dimensions, measures, filters, and parameters
- **Manage Dashboards** - Create, run, and modify dashboards
- **Manage Looks** - Search for and run saved looks
- **Health Checks** - Analyze instance health and performance
## Prerequisites
* [Node.js](https://nodejs.org/) installed.
* Access to a Looker instance.
* API Credentials (`Client ID` and `Client Secret`) or OAuth configuration.
## Install & Configuration
1. In the Antigravity MCP Store, click the "Install" button.
2. Add the required inputs for your [instance](https://docs.cloud.google.com/looker/docs/set-up-and-administer-looker) in the configuration pop-up, then click "Save". You can update this configuration at any time in the "Configure" tab.
You'll now be able to see all enabled tools in the "Tools" tab.
> [!NOTE]
> If you encounter issues with Windows Defender blocking the execution, you may need to configure an allowlist. See [Configure exclusions for Microsoft Defender Antivirus](https://learn.microsoft.com/en-us/microsoft-365/security/defender-endpoint/configure-exclusions-microsoft-defender-antivirus?view=o365-worldwide) for more details.
## Usage
Once configured, the MCP server will automatically provide Looker capabilities to your AI assistant. You can:
* "Find explores in the 'ecommerce' model."
* "Run a query to show total sales by month."
* "Create a new dashboard named 'Sales Overview'."
## Server Capabilities
The Looker MCP server provides a wide range of tools. Here are some of the key capabilities:
The Cloud Spanner Model Context Protocol (MCP) Server gives AI-powered development tools the ability to work with your Google Cloud Spanner databases. It supports executing SQL queries and exploring schemas.
## Features
An editor configured to use the Cloud Spanner MCP server can use its AI capabilities to help you:
- **Query Data** - Execute DML and DQL SQL queries
- **Explore Schema** - List tables and view schema details
## Prerequisites
* [Node.js](https://nodejs.org/) installed.
* A Google Cloud project with the **Cloud Spanner API** enabled.
* Ensure [Application Default Credentials](https://cloud.google.com/docs/authentication/gcloud) are available in your environment.
* IAM Permissions:
* Cloud Spanner Database User (`roles/spanner.databaseUser`) (for data access)
1. In the Antigravity MCP Store, click the "Install" button.
2. Add the required inputs for your [instance](https://docs.cloud.google.com/spanner/docs/instances) in the configuration pop-up, then click "Save". You can update this configuration at any time in the "Configure" tab.
You'll now be able to see all enabled tools in the "Tools" tab.
> [!NOTE]
> If you encounter issues with Windows Defender blocking the execution, you may need to configure an allowlist. See [Configure exclusions for Microsoft Defender Antivirus](https://learn.microsoft.com/en-us/microsoft-365/security/defender-endpoint/configure-exclusions-microsoft-defender-antivirus?view=o365-worldwide) for more details.
## Usage
Once configured, the MCP server will automatically provide Cloud Spanner capabilities to your AI assistant. You can:
* "Execute a DML query to update customer names."
* "List all tables in the `my-database`."
* "Execute a DQL query to select data from `orders` table."
## Server Capabilities
The Cloud Spanner MCP server provides the following tools:
The MCP Toolbox for Databases Server gives AI-powered development tools the ability to work with your custom tools. It is designed to simplify and secure the development of tools for interacting with databases.
## Prerequisites
* [Node.js](https://nodejs.org/) installed.
* A Google Cloud project with relevant APIs enabled.
* Ensure [Application Default Credentials](https://cloud.google.com/docs/authentication/gcloud) are available in your environment.
## Install & Configuration
1. In the Antigravity MCP Store, click the "Install" button.
2. Create your [`tools.yaml` configuration file](https://googleapis.github.io/genai-toolbox/getting-started/configure/).
3. Click "View raw config" and update the `tools.yaml` path with the full absolute path to your file.
> [!NOTE]
> If you encounter issues with Windows Defender blocking the execution, you may need to configure an allowlist. See [Configure exclusions for Microsoft Defender Antivirus](https://learn.microsoft.com/en-us/microsoft-365/security/defender-endpoint/configure-exclusions-microsoft-defender-antivirus?view=o365-worldwide) for more details.
## Usage
Interact with your custom tools using natural language.
@@ -7,12 +7,20 @@ description: "Connect to Toolbox via Gemini CLI Extensions."
## Gemini CLI Extensions
[Gemini CLI][gemini-cli] is an open-source AI agent designed to assist with development workflows by assisting with coding, debugging, data exploration, and content creation. Its mission is to provide an agentic interface for interacting with database and analytics services and popular open-source databases.
[Gemini CLI][gemini-cli] is an open-source AI agent designed to assist with
development workflows by assisting with coding, debugging, data exploration, and
content creation. Its mission is to provide an agentic interface for interacting
with database and analytics services and popular open-source databases.
### How extensions work
Gemini CLI is highly extensible, allowing for the addition of new tools and capabilities through extensions. You can load the extensions from a GitHub URL, a local directory, or a configurable registry. They provide new tools, slash commands, and prompts to assist with your workflow.
Use the Gemini CLI Extensions to load prebuilt or custom tools to interact with your databases.
Gemini CLI is highly extensible, allowing for the addition of new tools and
capabilities through extensions. You can load the extensions from a GitHub URL,
a local directory, or a configurable registry. They provide new tools, slash
commands, and prompts to assist with your workflow.
Use the Gemini CLI Extensions to load prebuilt or custom tools to interact with
| | `--tools-files` | Multiple file paths specifying tool configurations. Files will be merged. Cannot be used with --prebuilt, --tools-file, or --tools-folder. | |
| | `--tools-folder` | Directory path containing YAML tool configuration files. All .yaml and .yml files in the directory will be loaded and merged. Cannot be used with --prebuilt, --tools-file, or --tools-files. | |
| | `--ui` | Launches the Toolbox UI web server. | |
| | `--allowed-origins` | Specifies a list of origins permitted to access this server. | `*` |
| `-v` | `--version` | version for toolbox | |
## Examples
@@ -32,10 +33,12 @@ description: >
### Transport Configuration
**Server Settings:**
-`--address`, `-a`: Server listening address (default: "127.0.0.1")
-`--port`, `-p`: Server listening port (default: 5000)
**STDIO:**
-`--stdio`: Run in MCP STDIO mode instead of HTTP server
#### Usage Examples
@@ -50,15 +53,19 @@ description: >
The CLI supports multiple mutually exclusive ways to specify tool configurations:
**Single File:** (default)
-`--tools-file`: Path to a single YAML configuration file (default: `tools.yaml`)
**Multiple Files:**
-`--tools-files`: Comma-separated list of YAML files to merge
**Directory:**
-`--tools-folder`: Directory containing YAML files to load and merge
**Prebuilt Configurations:**
-`--prebuilt`: Use predefined configurations for specific database types (e.g.,
'bigquery', 'postgres', 'spanner'). See [Prebuilt Tools
Reference](prebuilt-tools.md) for allowed values.
@@ -79,4 +86,4 @@ Toolbox enables dynamic reloading by default. To disable, use the
To launch Toolbox's interactive UI, use the `--ui` flag. This allows you to test
tools and toolsets with features such as authorized parameters. To learn more,
A `prompt` represents a reusable prompt template that can be retrieved and used
by MCP clients.
A Prompt is essentially a template for a message or a series of messages that can be sent to a Large Language Model (LLM). The Toolbox server implements the `prompts/list` and `prompts/get` methods from the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/docs/getting-started/intro) specification, allowing clients to discover and retrieve these prompts.
A Prompt is essentially a template for a message or a series of messages that
can be sent to a Large Language Model (LLM). The Toolbox server implements the
`prompts/list` and `prompts/get` methods from the [Model Context Protocol
| role | string | No | The role of the sender. Can be `"user"` or `"assistant"`. Defaults to `"user"`. |
| content | string | Yes | The text of the message. You can include placeholders for arguments using `{{.argument_name}}` syntax. |
## Argument Schema
@@ -45,11 +49,17 @@ type. If the `type` field is not specified, it will default to `string`.
## Usage with Gemini CLI
Prompts defined in your `tools.yaml` can be seamlessly integrated with the Gemini CLI to create [custom slash commands](https://github.com/google-gemini/gemini-cli/blob/main/docs/tools/mcp-server.md#mcp-prompts-as-slash-commands). The workflow is as follows:
Prompts defined in your `tools.yaml` can be seamlessly integrated with the
1.**Discovery:** When the Gemini CLI connects to your Toolbox server, it automatically calls `prompts/list` to discover all available prompts.
1.**Discovery:** When the Gemini CLI connects to your Toolbox server, it
automatically calls `prompts/list` to discover all available prompts.
2.**Conversion:** Each discovered prompt is converted into a corresponding slash command. For example, a prompt named `code_review` becomes the `/code_review` command in the CLI.
2.**Conversion:** Each discovered prompt is converted into a corresponding
slash command. For example, a prompt named `code_review` becomes the
`/code_review` command in the CLI.
3.**Execution:** You can execute the command as follows:
@@ -65,6 +75,7 @@ Prompts defined in your `tools.yaml` can be seamlessly integrated with the Gemin
Please review the following code for quality, correctness, and potential improvements: \ndef hello():\n print('world')
```
5.**Response:** This completed prompt is then sent to the Gemini model, and the model's response is displayed back to you in the CLI.
5.**Response:** This completed prompt is then sent to the Gemini model, and the
model's response is displayed back to you in the CLI.
[Apache Cassandra][cassandra-docs] is a NoSQL distributed database. By design, NoSQL databases are lightweight, open-source, non-relational, and largely distributed. Counted among their strengths are horizontal scalability, distributed architectures, and a flexible approach to schema definition.
[Apache Cassandra][cassandra-docs] is a NoSQL distributed database. By design,
NoSQL databases are lightweight, open-source, non-relational, and largely
distributed. Counted among their strengths are horizontal scalability,
distributed architectures, and a flexible approach to schema definition.
| hosts | string[] | true | List of IP addresses to connect to (e.g., ["192.168.1.1:9042", "192.168.1.2:9042","192.168.1.3:9042"]). The default port is 9042 if not specified. |
| keyspace | string | true | Name of the Cassandra keyspace to connect to (e.g., "my_keyspace"). |
| protoVersion | integer | false | Protocol version for the Cassandra connection (e.g., 4). |
| username | string | false | Name of the Cassandra user to connect as (e.g., "my-cassandra-user"). |
| password | string | false | Password of the Cassandra user (e.g., "my-password"). |
| caPath | string | false | Path to the CA certificate for SSL/TLS (e.g., "/path/to/ca.crt"). |
| certPath | string | false | Path to the client certificate for SSL/TLS (e.g., "/path/to/client.crt"). |
| keyPath | string | false | Path to the client key for SSL/TLS (e.g., "/path/to/client.key"). |
| enableHostVerification | boolean | false | Enable host verification for SSL/TLS (e.g., true). By default, host verification is disabled. |
| hosts | string[] | true | List of IP addresses to connect to (e.g., ["192.168.1.1:9042", "192.168.1.2:9042","192.168.1.3:9042"]). The default port is 9042 if not specified. |
| keyspace | string | true | Name of the Cassandra keyspace to connect to (e.g., "my_keyspace"). |
| protoVersion | integer | false | Protocol version for the Cassandra connection (e.g., 4). |
| username | string | false | Name of the Cassandra user to connect as (e.g., "my-cassandra-user"). |
| password | string | false | Password of the Cassandra user (e.g., "my-password"). |
| caPath | string | false | Path to the CA certificate for SSL/TLS (e.g., "/path/to/ca.crt"). |
| certPath | string | false | Path to the client certificate for SSL/TLS (e.g., "/path/to/client.crt"). |
| keyPath | string | false | Path to the client key for SSL/TLS (e.g., "/path/to/client.key"). |
| enableHostVerification | boolean | false | Enable host verification for SSL/TLS (e.g., true). By default, host verification is disabled. |
Execute SQL queries as prepared statements in ClickHouse.
## Requirements
### Database User
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