diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
index f1c2b0e4..a3189102 100644
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -8,6 +8,7 @@ on:
jobs:
create-metadata:
runs-on: ubuntu-latest
+ if: github.repository_owner == 'modelcontextprotocol'
outputs:
hash: ${{ steps.last-release.outputs.hash }}
version: ${{ steps.create-version.outputs.version}}
@@ -192,7 +193,10 @@ jobs:
create-release:
needs: [update-packages, create-metadata, publish-pypi, publish-npm]
- if: needs.update-packages.outputs.changes_made == 'true'
+ if: |
+ always() &&
+ needs.update-packages.outputs.changes_made == 'true' &&
+ (needs.publish-pypi.result == 'success' || needs.publish-npm.result == 'success')
runs-on: ubuntu-latest
environment: release
permissions:
diff --git a/.gitignore b/.gitignore
index 7ecb7109..a6beb0bc 100644
--- a/.gitignore
+++ b/.gitignore
@@ -122,6 +122,9 @@ dist
# Stores VSCode versions used for testing VSCode extensions
.vscode-test
+# Jetbrains IDEs
+.idea/
+
# yarn v2
.yarn/cache
.yarn/unplugged
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 28cba5a6..7a10a22f 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -1,105 +1,34 @@
# Contributing to MCP Servers
-Thank you for your interest in contributing to the Model Context Protocol (MCP) servers! This document provides guidelines and instructions for contributing.
+Thanks for your interest in contributing! Here's how you can help make this repo better.
-## Types of Contributions
+We accept changes through [the standard GitHub flow model](https://docs.github.com/en/get-started/using-github/github-flow).
-### 1. New Servers
+## Server Listings
-The repository contains reference implementations, as well as a list of community servers.
-We generally don't accept new servers into the repository. We do accept pull requests to the [README.md](./README.md)
-adding a reference to your servers.
+We welcome PRs that add links to your servers in the [README.md](./README.md)!
-Please keep lists in alphabetical order to minimize merge conflicts when adding new items.
+## Server Implementations
-- Check the [modelcontextprotocol.io](https://modelcontextprotocol.io) documentation
-- Ensure your server doesn't duplicate existing functionality
-- Consider whether your server would be generally useful to others
-- Follow [security best practices](https://modelcontextprotocol.io/docs/concepts/transports#security-considerations) from the MCP documentation
-- Create a PR adding a link to your server to the [README.md](./README.md).
+We welcome:
+- **Bug fixes** — Help us squash those pesky bugs.
+- **Usability improvements** — Making servers easier to use for humans and agents.
+- **Enhancements that demonstrate MCP protocol features** — We encourage contributions that help reference servers better illustrate underutilized aspects of the MCP protocol beyond just Tools, such as Resources, Prompts, or Roots. For example, adding Roots support to filesystem-server helps showcase this important but lesser-known feature.
-### 2. Improvements to Existing Servers
-Enhancements to existing servers are welcome! This includes:
+We're more selective about:
+- **Other new features** — Especially if they're not crucial to the server's core purpose or are highly opinionated. The existing servers are reference servers meant to inspire the community. If you need specific features, we encourage you to build enhanced versions! We think a diverse ecosystem of servers is beneficial for everyone, and would love to link to your improved server in our README.
-- Bug fixes
-- Performance improvements
-- New features
-- Security enhancements
+We don't accept:
+- **New server implementations** — We encourage you to publish them yourself, and link to them from the README.
-### 3. Documentation
-Documentation improvements are always welcome:
+## Documentation
-- Fixing typos or unclear instructions
-- Adding examples
-- Improving setup instructions
-- Adding troubleshooting guides
+Improvements to existing documentation is welcome - although generally we'd prefer ergonomic improvements than documenting pain points if possible!
-## Getting Started
-
-1. Fork the repository
-2. Clone your fork:
- ```bash
- git clone https://github.com/your-username/servers.git
- ```
-3. Add the upstream remote:
- ```bash
- git remote add upstream https://github.com/modelcontextprotocol/servers.git
- ```
-4. Create a branch:
- ```bash
- git checkout -b my-feature
- ```
-
-## Development Guidelines
-
-### Code Style
-- Follow the existing code style in the repository
-- Include appropriate type definitions
-- Add comments for complex logic
-
-### Documentation
-- Include a detailed README.md in your server directory
-- Document all configuration options
-- Provide setup instructions
-- Include usage examples
-
-### Security
-- Follow security best practices
-- Implement proper input validation
-- Handle errors appropriately
-- Document security considerations
-
-## Submitting Changes
-
-1. Commit your changes:
- ```bash
- git add .
- git commit -m "Description of changes"
- ```
-2. Push to your fork:
- ```bash
- git push origin my-feature
- ```
-3. Create a Pull Request through GitHub
-
-### Pull Request Guidelines
-
-- Thoroughly test your changes
-- Fill out the pull request template completely
-- Link any related issues
-- Provide clear description of changes
-- Include any necessary documentation updates
-- Add screenshots for UI changes
-- List any breaking changes
+We're more selective about adding wholly new documentation, especially in ways that aren't vendor neutral (e.g. how to run a particular server with a particular client).
## Community
-- Participate in [GitHub Discussions](https://github.com/orgs/modelcontextprotocol/discussions)
-- Follow the [Code of Conduct](CODE_OF_CONDUCT.md)
+[Learn how the MCP community communicates](https://modelcontextprotocol.io/community/communication).
-## Questions?
-
-- Check the [documentation](https://modelcontextprotocol.io)
-- Ask in GitHub Discussions
-
-Thank you for contributing to MCP Servers!
+Thank you for helping make MCP servers better for everyone!
\ No newline at end of file
diff --git a/README.md b/README.md
index 63039d1c..5b2f07fe 100644
--- a/README.md
+++ b/README.md
@@ -9,6 +9,7 @@ Typically, each MCP server is implemented with an MCP SDK:
- [Go MCP SDK](https://github.com/modelcontextprotocol/go-sdk)
- [Java MCP SDK](https://github.com/modelcontextprotocol/java-sdk)
- [Kotlin MCP SDK](https://github.com/modelcontextprotocol/kotlin-sdk)
+- [PHP MCP SDK](https://github.com/modelcontextprotocol/php-sdk)
- [Python MCP SDK](https://github.com/modelcontextprotocol/python-sdk)
- [Ruby MCP SDK](https://github.com/modelcontextprotocol/ruby-sdk)
- [Rust MCP SDK](https://github.com/modelcontextprotocol/rust-sdk)
@@ -80,7 +81,7 @@ Official integrations are maintained by companies building production ready MCP
- 
**[Apache Doris](https://github.com/apache/doris-mcp-server)** - MCP Server For [Apache Doris](https://doris.apache.org/), an MPP-based real-time data warehouse.
- 
**[Apache IoTDB](https://github.com/apache/iotdb-mcp-server)** - MCP Server for [Apache IoTDB](https://github.com/apache/iotdb) database and its tools
- **[Apache Pinot](https://github.com/startreedata/mcp-pinot)** – MCP server for running real - time analytics queries on Apache Pinot, an open-source OLAP database built for high-throughput, low-latency powering real-time applications.
-- 
**[Apify](https://github.com/apify/actors-mcp-server)** - [Actors MCP Server](https://apify.com/apify/actors-mcp-server): Use 3,000+ pre-built cloud tools to extract data from websites, e-commerce, social media, search engines, maps, and more
+- **[Apify](https://github.com/apify/apify-mcp-server)** - Use 6,000+ pre-built cloud tools to extract data from websites, e-commerce, social media, search engines, maps, and more
- 
**[APIMatic MCP](https://github.com/apimatic/apimatic-validator-mcp)** - APIMatic MCP Server is used to validate OpenAPI specifications using [APIMatic](https://www.apimatic.io/). The server processes OpenAPI files and returns validation summaries by leveraging APIMatic's API.
- 
**[Apollo MCP Server](https://github.com/apollographql/apollo-mcp-server/)** - Connect your GraphQL APIs to AI agents
- 
**[Aqara MCP Server](https://github.com/aqara/aqara-mcp-server/)** - Control [Aqara](https://www.aqara.com/) smart home devices, query status, execute scenes, and much more using natural language.
@@ -98,7 +99,7 @@ Official integrations are maintained by companies building production ready MCP
- 
**[Authenticator App · 2FA](https://github.com/firstorderai/authenticator_mcp)** - A secure MCP (Model Context Protocol) server that enables AI agents to interact with the Authenticator App.
- 
**[AWS](https://github.com/awslabs/mcp)** - Specialized MCP servers that bring AWS best practices directly to your development workflow.
- 
**[Axiom](https://github.com/axiomhq/mcp-server-axiom)** - Query and analyze your Axiom logs, traces, and all other event data in natural language
-- 
**[Azure](https://github.com/Azure/azure-mcp)** - The Azure MCP Server gives MCP Clients access to key Azure services and tools like Azure Storage, Cosmos DB, the Azure CLI, and more.
+- **[Azure](https://github.com/microsoft/mcp/tree/main/servers/Azure.Mcp.Server)** - The Azure MCP Server gives MCP Clients access to key Azure services and tools like Azure Storage, Cosmos DB, the Azure CLI, and more.
- 
**[Azure DevOps](https://github.com/microsoft/azure-devops-mcp)** - Interact with Azure DevOps services like repositories, work items, builds, releases, test plans, and code search.
- 
**[Baidu Map](https://github.com/baidu-maps/mcp)** - [Baidu Map MCP Server](https://lbsyun.baidu.com/faq/api?title=mcpserver/base) provides tools for AI agents to interact with Baidu Maps APIs, enabling location-based services and geospatial data analysis.
- 
**[Bankless Onchain](https://github.com/bankless/onchain-mcp)** - Query Onchain data, like ERC20 tokens, transaction history, smart contract state.
@@ -165,10 +166,12 @@ Official integrations are maintained by companies building production ready MCP
- 
**[DeepL](https://github.com/DeepLcom/deepl-mcp-server)** - Translate or rewrite text with [DeepL](https://deepl.com)'s very own AI models using [the DeepL API](https://developers.deepl.com/docs)
- 
**[Defang](https://github.com/DefangLabs/defang/blob/main/src/pkg/mcp/README.md)** - Deploy your project to the cloud seamlessly with the [Defang](https://www.defang.io) platform without leaving your integrated development environment
- 
**[Detailer](https://detailer.ginylil.com/)** – Instantly generate rich, AI-powered documentation for your GitHub repositories. Designed for AI agents to gain deep project context before taking action.
+- 
**[DevCycle](https://docs.devcycle.com/cli-mcp/mcp-getting-started)** - Create and monitor feature flags using natural language in your AI coding assistant.
- 
**[DevHub](https://github.com/devhub/devhub-cms-mcp)** - Manage and utilize website content within the [DevHub](https://www.devhub.com) CMS platform
- 
**[DevRev](https://github.com/devrev/mcp-server)** - An MCP server to integrate with DevRev APIs to search through your DevRev Knowledge Graph where objects can be imported from diff. Sources listed [here](https://devrev.ai/docs/import#available-sources).
- 
**[DexPaprika (CoinPaprika)](https://github.com/coinpaprika/dexpaprika-mcp)** - Access real-time DEX data, liquidity pools, token information, and trading analytics across multiple blockchain networks with [DexPaprika](https://dexpaprika.com) by CoinPaprika.
- 
**[Dolt](https://github.com/dolthub/dolt-mcp)** - The official MCP server for version-controlled [Dolt](https://doltdb.com/) databases.
+- 
**[Dot (GetDot.ai)](https://docs.getdot.ai/dot/integrations/mcp)** - Fetch, analyze or visualize data from your favorite database or data warehouse (Snowflake, BigQuery, Redshift, Databricks, Clickhouse, ...) with [Dot](https://getdot.ai), your AI Data Analyst. This remote MCP server is a one-click integration for user that have setup Dot.
- 
**[Drata](https://drata.com/mcp)** - Get hands-on with our experimental MCP server—bringing real-time compliance intelligence into your AI workflows.
- 
**[Dumpling AI](https://github.com/Dumpling-AI/mcp-server-dumplingai)** - Access data, web scraping, and document conversion APIs by [Dumpling AI](https://www.dumplingai.com/)
- 
**[Dynatrace](https://github.com/dynatrace-oss/dynatrace-mcp)** - Manage and interact with the [Dynatrace Platform ](https://www.dynatrace.com/platform) for real-time observability and monitoring.
@@ -176,23 +179,26 @@ Official integrations are maintained by companies building production ready MCP
- 
**[Edgee](https://github.com/edgee-cloud/mcp-server-edgee)** - Deploy and manage [Edgee](https://www.edgee.cloud) components and projects
- 
**[EduBase](https://github.com/EduBase/MCP)** - Interact with [EduBase](https://www.edubase.net), a comprehensive e-learning platform with advanced quizzing, exam management, and content organization capabilities
- 
**[Elasticsearch](https://github.com/elastic/mcp-server-elasticsearch)** - Query your data in [Elasticsearch](https://www.elastic.co/elasticsearch)
+- 
**[Ember AI](https://docs.emberai.xyz/)** - A unified MCP server that enables AI agents to execute cross-chain DeFi strategies.
- 
**[Endor Labs](https://docs.endorlabs.com/deployment/ide/mcp/)** - Find and fix security risks in you code. Integrate [Endor Labs](https://endorlabs.com) to scan and secure your code from vulnerabilities and secret leaks.
- 
**[eSignatures](https://github.com/esignaturescom/mcp-server-esignatures)** - Contract and template management for drafting, reviewing, and sending binding contracts.
- 
**[ESP RainMaker](https://github.com/espressif/esp-rainmaker-mcp)** - Official Espressif MCP Server to Control and Manage ESP RainMaker Devices.
- 
**[Exa](https://github.com/exa-labs/exa-mcp-server)** - Search Engine made for AIs by [Exa](https://exa.ai)
+- 
**[Explorium](https://github.com/explorium-ai/mcp-explorium)** - B2B data and infrastructure for AI SDR & GTM Agents [Explorium](https://www.explorium.ai)
- **[FalkorDB](https://github.com/FalkorDB/FalkorDB-MCPServer)** - FalkorDB graph database server get schema and read/write-cypher [FalkorDB](https://www.falkordb.com)
- 
**[fetchSERP](https://github.com/fetchSERP/fetchserp-mcp-server-node)** - All-in-One SEO & Web Intelligence Toolkit API [fetchSERP](https://www.fetchserp.com/)
- 
**[Fewsats](https://github.com/Fewsats/fewsats-mcp)** - Enable AI Agents to purchase anything in a secure way using [Fewsats](https://fewsats.com)
- 
**[Fibery](https://github.com/Fibery-inc/fibery-mcp-server)** - Perform queries and entity operations in your [Fibery](https://fibery.io) workspace.
- 
**[Financial Datasets](https://github.com/financial-datasets/mcp-server)** - Stock market API made for AI agents
- 
**[Firebase](https://github.com/firebase/firebase-tools/blob/master/src/mcp)** - Firebase's experimental [MCP Server](https://firebase.google.com/docs/cli/mcp-server) to power your AI Tools
-- 
**[Firecrawl](https://github.com/mendableai/firecrawl-mcp-server)** - Extract web data with [Firecrawl](https://firecrawl.dev)
+- **[Firecrawl](https://github.com/firecrawl/firecrawl-mcp-server)** - Extract web data with [Firecrawl](https://firecrawl.dev)
- 
**[Firefly](https://github.com/gofireflyio/firefly-mcp)** - Integrates, discovers, manages, and codifies cloud resources with [Firefly](https://firefly.ai).
- 
**[Fireproof](https://github.com/fireproof-storage/mcp-database-server)** - Immutable ledger database with live synchronization
- 
**[FIXParser](https://gitlab.com/logotype/fixparser/-/tree/main/packages/fixparser-plugin-mcp)** - A modern FIX Protocol engine for AI-powered trading agents
- 
**[Fluid Attacks](https://github.com/fluidattacks/mcp)** - Interact with the [Fluid Attacks](https://fluidattacks.com/) API, enabling vulnerability management, organization insights, and GraphQL query execution.
- 
**[ForeverVM](https://github.com/jamsocket/forevervm/tree/main/javascript/mcp-server)** - Run Python in a code sandbox.
- 
**[GibsonAI](https://github.com/GibsonAI/mcp)** - AI-Powered Cloud databases: Build, migrate, and deploy database instances with AI
+- 
**[Gcore](https://github.com/G-Core/gcore-mcp-server)** - Interact with Gcore platform services via LLM assistants, providing unified access to CDN, GPU Cloud & AI Inference, Video Streaming, WAAP, and cloud resources including instances and networks.
- 
**[Gitea](https://gitea.com/gitea/gitea-mcp)** - Interact with Gitea instances with MCP.
- 
**[Gitee](https://github.com/oschina/mcp-gitee)** - Gitee API integration, repository, issue, and pull request management, and more.
- 
**[GitGuardian](https://github.com/GitGuardian/gg-mcp)** - GitGuardian official MCP server - Scan projects using GitGuardian's industry-leading API, which features over 500 secret detectors to prevent credential leaks before they reach public repositories. Resolve security incidents directly with rich contextual data for rapid, automated remediation.
@@ -217,6 +223,7 @@ Official integrations are maintained by companies building production ready MCP
- 
**[Heroku](https://github.com/heroku/heroku-mcp-server)** - Interact with the Heroku Platform through LLM-driven tools for managing apps, add-ons, dynos, databases, and more.
- 
**[HeyOnCall](https://heyoncall.com/blog/mcp-server-for-paging-a-human)** - Page a human, sending critical or non-critical alerts to the free [HeyOnCall](https://heyoncall.com/) iOS or Android apps.
- 
**[Hiveflow](https://github.com/hiveflowai/hiveflow-mcp-server)** - Create, manage, and execute agentic AI workflows directly from your assistant.
+- 
**[Hive Intelligence](https://github.com/hive-intel/hive-crypto-mcp)** - Ultimate cryptocurrency MCP for AI assistants with unified access to crypto, DeFi, and Web3 analytics
- 
**[Hologres](https://github.com/aliyun/alibabacloud-hologres-mcp-server)** - Connect to a [Hologres](https://www.alibabacloud.com/en/product/hologres) instance, get table metadata, query and analyze data.
- 
**[Homebrew](https://docs.brew.sh/MCP-Server)** Allows [Homebrew](https://brew.sh) users to run Homebrew commands locally.
- 
**[Honeycomb](https://github.com/honeycombio/honeycomb-mcp)** Allows [Honeycomb](https://www.honeycomb.io/) Enterprise customers to query and analyze their data, alerts, dashboards, and more; and cross-reference production behavior with the codebase.
@@ -233,19 +240,21 @@ Official integrations are maintained by companies building production ready MCP
- 
**[IP2Location.io](https://github.com/ip2location/mcp-ip2location-io)** - Interact with IP2Location.io API to retrieve the geolocation information for an IP address.
- 
**[IPLocate](https://github.com/iplocate/mcp-server-iplocate)** - Look up IP address geolocation, network information, detect proxies and VPNs, and find abuse contact details using [IPLocate.io](https://www.iplocate.io)
- 
**[Jellyfish](https://github.com/Jellyfish-AI/jellyfish-mcp)** – Give your AI agent context about your team's software engineering allocations and workflow via the [Jellyfish](https://jellyfish.co) platform
-- 
**[JetBrains](https://github.com/JetBrains/mcp-jetbrains)** – Work on your code with JetBrains IDEs
+- **[JetBrains](https://www.jetbrains.com/help/idea/mcp-server.html)** – Work on your code with JetBrains IDEs: IntelliJ IDEA, PhpStorm, etc.
- 
**[JFrog](https://github.com/jfrog/mcp-jfrog)** - Model Context Protocol (MCP) Server for the [JFrog](https://jfrog.com/) Platform API, enabling repository management, build tracking, release lifecycle management, and more.
- 
**[Kagi Search](https://github.com/kagisearch/kagimcp)** - Search the web using Kagi's search API
- 
**[Keboola](https://github.com/keboola/keboola-mcp-server)** - Build robust data workflows, integrations, and analytics on a single intuitive platform.
- 
**[Kernel](https://github.com/onkernel/kernel-mcp-server)** – Access Kernel's cloud‑based browsers via MCP.
- 
**[Keywords Everywhere](https://api.keywordseverywhere.com/docs/#/mcp_integration)** – Access SEO data through the official Keywords Everywhere API MCP server.
- 
**[KeywordsPeopleUse.com](https://github.com/data-skunks/kpu-mcp)** - Find questions people ask online with [KeywordsPeopleUse](https://keywordspeopleuse.com).
+- 
**[Kintone](https://github.com/kintone/mcp-server)** - The official local MCP server for [Kintone](https://kintone.com).
- 
**[KirokuForms](https://www.kirokuforms.com/ai/mcp)** - [KirokuForms](https://www.kirokuforms.com) is an AI-powered form platform combining professional form building with Human-in-the-Loop (HITL) capabilities. Create custom forms, collect submissions, and integrate human oversight into AI workflows through [MCP integration](https://kirokuforms.com/ai/mcp).
- 
**[Klavis ReportGen](https://github.com/Klavis-AI/klavis/tree/main/mcp_servers/report_generation)** - Create professional reports from a simple user query.
- 
**[Klaviyo](https://developers.klaviyo.com/en/docs/klaviyo_mcp_server)** - Interact with your [Klaviyo](https://www.klaviyo.com/) marketing data.
- 
**[kluster.ai](https://docs.kluster.ai/get-started/mcp/overview/)** - kluster.ai provides MCP servers that bring AI services directly into your development workflow, including guardrails like hallucination detection.
- 
**[Knit MCP Server](https://developers.getknit.dev/docs/knit-mcp-server-getting-started)** - Production-ready remote MCP servers that enable you to connect with 10000+ tools across CRM, HRIS, Payroll, Accounting, ERP, Calendar, Expense Management, and Chat categories.
- 
**[Knock MCP Server](https://github.com/knocklabs/agent-toolkit#model-context-protocol-mcp)** - Send product and customer messaging across email, in-app, push, SMS, Slack, MS Teams.
+- 
**[Kumo](https://github.com/kumo-ai/kumo-rfm-mcp)** - MCP Server to interact with KumoRFM, a foundation model for generating predictions from your relational data.
- 
**[KurrentDB](https://github.com/kurrent-io/mcp-server)** - This is a simple MCP server to help you explore data and prototype projections faster on top of KurrentDB.
- 
**[Kuzu](https://github.com/kuzudb/kuzu-mcp-server)** - This server enables LLMs to inspect database schemas and execute queries on the provided Kuzu graph database. See [blog](https://blog.kuzudb.com/post/2025-03-23-kuzu-mcp-server/)) for a debugging use case.
- 
**[KWDB](https://github.com/KWDB/kwdb-mcp-server)** - Reading, writing, querying, modifying data, and performing DDL operations with data in your KWDB Database.
@@ -272,7 +281,7 @@ Official integrations are maintained by companies building production ready MCP
- 
**[Mapbox](https://github.com/mapbox/mcp-server)** - Unlock geospatial intelligence through Mapbox APIs like geocoding, POI search, directions, isochrones and more.
- 
**[MariaDB](https://github.com/mariadb/mcp)** - A standard interface for managing and querying MariaDB databases, supporting both standard SQL operations and advanced vector/embedding-based search.
- 
**[MCP Discovery](https://github.com/rust-mcp-stack/mcp-discovery)** - A lightweight CLI tool built in Rust for discovering MCP server capabilities.
-- 
**[MCP Toolbox for Databases](https://github.com/googleapis/genai-toolbox)** - Open source MCP server specializing in easy, fast, and secure tools for Databases. Supports AlloyDB, BigQuery, Bigtable, Cloud SQL, Dgraph, MySQL, Neo4j, Postgres, Spanner, and more.
+- **[MCP Toolbox for Databases](https://github.com/googleapis/genai-toolbox)** - Open source MCP server specializing in easy, fast, and secure tools for Databases. Supports AlloyDB, BigQuery, Bigtable, Cloud SQL, Dgraph, Looker, MySQL, Neo4j, Postgres, Spanner, and more.
- 
**[Meilisearch](https://github.com/meilisearch/meilisearch-mcp)** - Interact & query with Meilisearch (Full-text & semantic search API)
- 
**[Memgraph](https://github.com/memgraph/ai-toolkit/tree/main/integrations/mcp-memgraph)** - Query your data in [Memgraph](https://memgraph.com/) graph database.
- 
**[Mercado Libre](https://mcp.mercadolibre.com/)** - Mercado Libre's official MCP server.
@@ -285,11 +294,13 @@ Official integrations are maintained by companies building production ready MCP
- 
**[mimilabs](https://www.mimilabs.ai/mcp)** - A US healthcare data discovery guide for 50+ gov sources and thousands of publicly available US healthcare datasets regarding gov-funded programs, policies, drug pricings, clinical trials, etc.
- 
**[Mobb](https://github.com/mobb-dev/bugsy?tab=readme-ov-file#model-context-protocol-mcp-server)** - The [Mobb Vibe Shield](https://vibe.mobb.ai/) MCP server identifies and remediates vulnerabilities in both human and AI-written code, ensuring your applications remain secure without slowing development.
- 
**[Momento](https://github.com/momentohq/mcp-momento)** - Momento Cache lets you quickly improve your performance, reduce costs, and handle load at any scale.
+- 
**[Monday.com](https://github.com/mondaycom/mcp)** - Interact with Monday.com boards, items, accounts and work forms.
- 
**[MongoDB](https://github.com/mongodb-js/mongodb-mcp-server)** - Both MongoDB Community Server and MongoDB Atlas are supported.
- 
**[Moorcheh](https://github.com/moorcheh-ai/moorcheh-mcp)** - Embed, store, and search your documents, and build secure chatbots and RAG systems with Moorcheh's information-theoretic semantic search engine
- 
**[MotherDuck](https://github.com/motherduckdb/mcp-server-motherduck)** - Query and analyze data with MotherDuck and local DuckDB
- 
**[Mulesoft](https://www.npmjs.com/package/@mulesoft/mcp-server)** - Build, deploy, and manage MuleSoft applications with natural language, directly inside any compatible IDE.
- 
**[Multiplayer](https://www.multiplayer.app/docs/ai/mcp-server)** - Analyze your full stack session recordings easily. Record a bug with Multiplayer, analyze and fix it with LLM
+- 
**[Nango](https://docs.nango.dev/guides/use-cases/mcp-server)** - Integrate your AI agent with 500+ APIs: Auth, custom tools, and observability. Open-source.
- 
**[NanoVMs](https://github.com/nanovms/ops-mcp)** - Easily Build and Deploy unikernels to any cloud.
- 
**[Needle](https://github.com/needle-ai/needle-mcp)** - Production-ready RAG out of the box to search and retrieve data from your own documents.
- 
**[Neo4j](https://github.com/neo4j-contrib/mcp-neo4j/)** - Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory
@@ -310,7 +321,9 @@ Official integrations are maintained by companies building production ready MCP
- 
**[OctoEverywhere](https://github.com/OctoEverywhere/mcp)** - A 3D Printing MCP server that allows for querying for live state, webcam snapshots, and 3D printer control.
- 
**[Offorte](https://github.com/offorte/offorte-mcp-server#readme)** - Offorte Proposal Software official MCP server enables creation and sending of business proposals.
- 
**[OlaMaps](https://pypi.org/project/ola-maps-mcp-server)** - Official Ola Maps MCP Server for services like geocode, directions, place details and many more.
+- 
**[Olostep](https://github.com/olostep/olostep-mcp-server)** - Search, scrape and crawl content from web. Real-time results in clean markdown.
- 
**[ONLYOFFICE DocSpace](https://github.com/ONLYOFFICE/docspace-mcp)** - Interact with [ONLYOFFICE DocSpace](https://www.onlyoffice.com/docspace.aspx) API to create rooms, manage files and folders.
+- **[OMOP MCP](https://github.com/OHNLP/omop_mcp)** - Map clinical terminology to OMOP concepts using LLMs for healthcare data standardization.
- 
**[OP.GG](https://github.com/opgginc/opgg-mcp)** - Access real-time gaming data across popular titles like League of Legends, TFT, and Valorant, offering champion analytics, esports schedules, meta compositions, and character statistics.
- 
**[Openfort](https://github.com/openfort-xyz/mcp)** - Connect your AI to Openfort's smart wallet, auth, and project infrastructure.
- 
**[OpenMetadata](https://open-metadata.org/mcp)** - The first Enterprise-grade MCP server for metadata
@@ -331,11 +344,13 @@ Official integrations are maintained by companies building production ready MCP
- 
**[PayPal](https://mcp.paypal.com)** - PayPal's official MCP server.
- 
**[Pearl](https://github.com/Pearl-com/pearl_mcp_server)** - Official MCP Server to interact with Pearl API. Connect your AI Agents with 12,000+ certified experts instantly.
- 
**[Perplexity](https://github.com/ppl-ai/modelcontextprotocol)** - An MCP server that connects to Perplexity's Sonar API, enabling real-time web-wide research in conversational AI.
+- 
**[PDFActionInspector](https://github.com/foxitsoftware/PDFActionInspector/tree/develop)** - A Model Context Protocol server for extracting and analyzing JavaScript Actions from PDF files. Provides comprehensive security analysis to detect malicious PDF behaviors, hidden scripts, and potential security threats through AI-assisted risk assessment.
- 
**[PGA (Golf)](https://mcp.pga.com)** - PGA's official MCP Server for all things golf-related. Find a coach, play golf, improve your game, and more.
- 
**[Pinecone](https://github.com/pinecone-io/pinecone-mcp)** - [Pinecone](https://docs.pinecone.io/guides/operations/mcp-server)'s developer MCP Server assist developers in searching documentation and managing data within their development environment.
- **[Pinecone Assistant](https://github.com/pinecone-io/assistant-mcp)** - Retrieves context from your [Pinecone Assistant](https://docs.pinecone.io/guides/assistant/mcp-server) knowledge base.
- 
**[Pipedream](https://github.com/PipedreamHQ/pipedream/tree/master/modelcontextprotocol)** - Connect with 2,500 APIs with 8,000+ prebuilt tools.
- 
**[PlayCanvas](https://github.com/playcanvas/editor-mcp-server)** - Create interactive 3D web apps with the PlayCanvas Editor.
+- 
**[Playwright](https://github.com/microsoft/playwright-mcp)** — Browser automation MCP server using Playwright to run tests, navigate pages, capture screenshots, scrape content, and automate web interactions reliably.
- 
**[Plugged.in](https://github.com/VeriTeknik/pluggedin-mcp)** - A comprehensive proxy that combines multiple MCP servers into a single MCP. It provides discovery and management of tools, prompts, resources, and templates across servers, plus a playground for debugging when building MCP servers.
- 
**[Port IO](https://github.com/port-labs/port-mcp-server)** - Access and manage your software catalog to improve service quality and compliance.
- **[PostHog](https://github.com/posthog/mcp)** - Interact with PostHog analytics, feature flags, error tracking and more with the official PostHog MCP server.
@@ -353,6 +368,8 @@ Official integrations are maintained by companies building production ready MCP
- 
**[Put.io](https://github.com/putdotio/putio-mcp-server)** - Interact with your Put.io account to download torrents.
- 
**[Qdrant](https://github.com/qdrant/mcp-server-qdrant/)** - Implement semantic memory layer on top of the Qdrant vector search engine
- 
**[Qorus](https://qoretechnologies.com/manual/qorus/current/qorus/sysarch.html#mcp_server)** - Connect to any application, system, or technology and automate your business processes without coding and with AI
+- 
**[Qonto](https://github.com/qonto/qonto-mcp-server)** - Access and interact your Qonto account through LLMs using MCP.
+- 
**[QuantConnect](https://github.com/QuantConnect/mcp-server)** - Interact with your [QuantConnect](https://www.quantconnect.com/) account to update projects, write strategies, run backtest, and deploying strategies to production live-trading.
- **[Quickchat AI](https://github.com/incentivai/quickchat-ai-mcp)** - Launch your conversational [Quickchat AI](https://quickchat.ai) agent as an MCP to give AI apps real-time access to its Knowledge Base and conversational capabilities
- 
**[Ragie](https://github.com/ragieai/ragie-mcp-server/)** - Retrieve context from your [Ragie](https://www.ragie.ai) (RAG) knowledge base connected to integrations like Google Drive, Notion, JIRA and more.
- 
**[Ramp](https://github.com/ramp-public/ramp-mcp)** - Interact with [Ramp](https://ramp.com)'s Developer API to run analysis on your spend and gain insights leveraging LLMs
@@ -420,7 +437,7 @@ Official integrations are maintained by companies building production ready MCP
- 
**[Trade Agent](https://github.com/Trade-Agent/trade-agent-mcp)** - Execute stock and crypto trades on your brokerage via [Trade Agent](https://thetradeagent.ai)
- 
**[Twelve Data](https://github.com/twelvedata/mcp)** — Integrate your AI agents with real-time and historical financial market data through our official [Twelve Data](https://twelvedata.com) MCP server.
- 
**[Twilio](https://github.com/twilio-labs/mcp)** - Interact with [Twilio](https://www.twilio.com/en-us) APIs to send SMS messages, manage phone numbers, configure your account, and more.
-- 
**[Tencent RTC](https://github.com/Tencent-RTC/mcp)** - The MCP Server enables AI IDEs to more effectively understand and use [Tencent's Real-Time Communication](https://trtc.io/) SDKs and APIs, which significantly streamlines the process for developers to build audio/video call applications.
+- **[Tencent RTC](https://github.com/Tencent-RTC/mcp)** - The MCP Server enables AI IDEs to more effectively understand and use [Tencent's Real-Time Communication](https://trtc.io/) SDKs and APIs, which significantly streamlines the process for developers to build audio/video call applications.
- 
**[Uberall](https://github.com/uberall/uberall-mcp-server)** – Manage multi - location presence, including listings, reviews, and social posting, via [uberall](https://uberall.com).
- 
**[Unblocked](https://docs.getunblocked.com/unblocked-mcp)** Help your AI-powered IDEs generate faster, more accurate code by giving them access to context from Slack, Confluence, Google Docs, JIRA, and more with [Unblocked](https://getunblocked.com).
- 
**[UnifAI](https://github.com/unifai-network/unifai-mcp-server)** - Dynamically search and call tools using [UnifAI Network](https://unifai.network)
@@ -450,8 +467,10 @@ Official integrations are maintained by companies building production ready MCP
- 
**[YugabyteDB](https://github.com/yugabyte/yugabytedb-mcp-server)** - MCP Server to interact with your [YugabyteDB](https://www.yugabyte.com/) database
- 
**[Yunxin](https://github.com/netease-im/yunxin-mcp-server)** - An MCP server that connects to Yunxin's IM/RTC/DATA Open-API
- 
**[Zapier](https://zapier.com/mcp)** - Connect your AI Agents to 8,000 apps instantly.
+- 
**[Zenable](https://docs.zenable.io/integrations/mcp/getting-started)** - Clean up sloppy AI code and prevent vulnerabilities
- **[ZenML](https://github.com/zenml-io/mcp-zenml)** - Interact with your MLOps and LLMOps pipelines through your [ZenML](https://www.zenml.io) MCP server
- 
**[ZIZAI Recruitment](https://github.com/zaiwork/mcp)** - Interact with the next-generation intelligent recruitment platform for employees and employers, powered by [ZIZAI Recruitment](https://zizai.work).
+
### 🌎 Community Servers
A growing set of community-developed and maintained servers demonstrates various applications of MCP across different domains.
@@ -494,6 +513,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[APT MCP](https://github.com/GdMacmillan/apt-mcp-server)** - MCP server which runs debian package manager (apt) commands for you using ai agents.
- **[Aranet4](https://github.com/diegobit/aranet4-mcp-server)** - MCP Server to manage your Aranet4 CO2 sensor. Fetch data and store in a local SQLite. Ask questions about historical data.
- **[ArangoDB](https://github.com/ravenwits/mcp-server-arangodb)** - MCP Server that provides database interaction capabilities through [ArangoDB](https://arangodb.com/).
+- **[ArangoDB Graph](https://github.com/PCfVW/mcp-arangodb-async)** - Async-first Python architecture, wrapping the official [python-arango driver](https://github.com/arangodb/python-arango) with graph management capabilities, content conversion utilities (JSON, Markdown, YAML and Table), backup/restore functionality, and graph analytics capabilities; the 33 MCP tools use strict [Pydantic](https://github.com/pydantic/pydantic) validation.
- **[Arduino](https://github.com/vishalmysore/choturobo)** - MCP Server that enables AI-powered robotics using Claude AI and Arduino (ESP32) for real-world automation and interaction with robots.
- **[arXiv API](https://github.com/prashalruchiranga/arxiv-mcp-server)** - An MCP server that enables interacting with the arXiv API using natural language.
- **[arxiv-latex-mcp](https://github.com/takashiishida/arxiv-latex-mcp)** - MCP server that fetches and processes arXiv LaTeX sources for precise interpretation of mathematical expressions in papers.
@@ -538,13 +558,13 @@ A growing set of community-developed and maintained servers demonstrates various
- **[BNBChain MCP](https://github.com/bnb-chain/bnbchain-mcp)** - An MCP server for interacting with BSC, opBNB, and the Greenfield blockchain.
- **[Braintree](https://github.com/QuentinCody/braintree-mcp-server)** - Unofficial PayPal Braintree payment gateway MCP Server for AI agents to process payments, manage customers, and handle transactions securely.
- **[Brazilian Law](https://github.com/pdmtt/brlaw_mcp_server/)** (by pdmtt) - Agent-driven research on Brazilian law using official sources.
-- **[BreakoutRoom](https://github.com/agree-able/room-mcp)** - Agents accomplishing goals together in p2p rooms
+- **[BreakoutRoom](https://github.com/agree-able/room-mcp)** - Agents accomplishing goals together in p2p rooms
- **[Browser MCP](https://github.com/bytedance/UI-TARS-desktop/tree/main/packages/agent-infra/mcp-servers/browser)** (by UI-TARS) - A fast, lightweight MCP server that empowers LLMs with browser automation via Puppeteer’s structured accessibility data, featuring optional vision mode for complex visual understanding and flexible, cross-platform configuration.
- **[browser-use](https://github.com/co-browser/browser-use-mcp-server)** (by co-browser) - browser-use MCP server with dockerized playwright + chromium + vnc. supports stdio & resumable http.
- **[BrowserLoop](https://github.com/mattiasw/browserloop)** - An MCP server for taking screenshots of web pages using Playwright. Supports high-quality capture with configurable formats, viewport sizes, cookie-based authentication, and both full page and element-specific screenshots.
- **[Bsc-mcp](https://github.com/TermiX-official/bsc-mcp)** The first MCP server that serves as the bridge between AI and BNB Chain, enabling AI agents to execute complex on-chain operations through seamless integration with the BNB Chain, including transfer, swap, launch, security check on any token and even more.
- **[BugBug MCP Server](https://github.com/simplypixi/bugbug-mcp-server)** - Unofficial MCP server for BugBug API.
-- **[BVG MCP Server - (Unofficial) ](https://github.com/svkaizoku/mcp-bvg)** - Unofficial MCP server for Berliner Verkehrsbetriebe Api.
+- **[BVG MCP Server - (Unofficial) ](https://github.com/svkaizoku/mcp-bvg)** - Unofficial MCP server for Berliner Verkehrsbetriebe Api.
- **[Bybit](https://github.com/ethancod1ng/bybit-mcp-server)** - A Model Context Protocol (MCP) server for integrating AI assistants with Bybit cryptocurrency exchange APIs, enabling automated trading, market data access, and account management.
- **[CAD-MCP](https://github.com/daobataotie/CAD-MCP#)** (by daobataotie) - Drawing CAD(Line,Circle,Text,Annotation...) through MCP server, supporting mainstream CAD software.
- **[Calculator](https://github.com/githejie/mcp-server-calculator)** - This server enables LLMs to use calculator for precise numerical calculations.
@@ -598,6 +618,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[CSV Editor](https://github.com/santoshray02/csv-editor)** - Comprehensive CSV processing with 40+ operations for data manipulation, analysis, and validation. Features auto-save, undo/redo, and handles GB+ files. Built with FastMCP & Pandas.
- **[Cursor MCP Installer](https://github.com/matthewdcage/cursor-mcp-installer)** - A tool to easily install and configure other MCP servers within Cursor IDE, with support for npm packages, local directories, and Git repositories.
- **[CVE Intelligence Server](https://github.com/gnlds/mcp-cve-intelligence-server-lite)** – Provides vulnerability intelligence via multi - source CVE data, essential exploit discovery, and EPSS risk scoring through the MCP. Useful for security research, automation, and agent workflows.
+- **[D365FO](https://github.com/mafzaal/d365fo-client)** - A comprehensive MCP server for Microsoft Dynamics 365 Finance & Operations (D365 F&O) that provides easy access to OData endpoints, metadata operations, label management, and AI assistant integration.
- **[Dagster](https://github.com/dagster-io/dagster/tree/master/python_modules/libraries/dagster-dg-cli)** - An MCP server to easily build data pipelines using [Dagster](https://dagster.io/).
- **[Dappier](https://github.com/DappierAI/dappier-mcp)** - Connect LLMs to real-time, rights-cleared, proprietary data from trusted sources. Access specialized models for Real-Time Web Search, News, Sports, Financial Data, Crypto, and premium publisher content. Explore data models at [marketplace.dappier.com](https://marketplace.dappier.com/marketplace).
- **[Data Exploration](https://github.com/reading-plus-ai/mcp-server-data-exploration)** - MCP server for autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort. NOTE: Will execute arbitrary Python code on your machine, please use with caution!
@@ -626,7 +647,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[DevOps AI Toolkit](https://github.com/vfarcic/dot-ai)** - AI-powered development productivity platform that enhances software development workflows through intelligent automation and AI-driven assistance.
- **[DevOps-MCP](https://github.com/wangkanai/devops-mcp)** - Dynamic Azure DevOps MCP server with directory-based authentication switching, supporting work items, repositories, builds, pipelines, and multi-project management with local configuration files.
- **[DGIdb](https://github.com/QuentinCody/dgidb-mcp-server)** - MCP server for the Drug Gene Interaction Database (DGIdb), providing access to drug-gene interaction data, druggable genome information, and pharmacogenomics research.
-- **[Dicom](https://github.com/ChristianHinge/dicom-mcp)** - An MCP server to query and retrieve medical images and for parsing and reading dicom-encapsulated documents (pdf etc.).
+- **[Dicom](https://github.com/ChristianHinge/dicom-mcp)** - An MCP server to query and retrieve medical images and for parsing and reading dicom-encapsulated documents (pdf etc.).
- **[Dify](https://github.com/YanxingLiu/dify-mcp-server)** - A simple implementation of an MCP server for dify workflows.
- **[Discogs](https://github.com/cswkim/discogs-mcp-server)** - An MCP server that connects to the Discogs API for interacting with your music collection.
- **[Discord](https://github.com/v-3/discordmcp)** - An MCP server to connect to Discord guilds through a bot and read and write messages in channels
@@ -669,6 +690,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Fabric MCP](https://github.com/aci-labs/ms-fabric-mcp)** - Microsoft Fabric MCP server to accelerate working in your Fabric Tenant with the help of your favorite LLM models.
- **[Fabric Real-Time Intelligence MCP](https://github.com/Microsoft/fabric-rti-mcp)** - Official Microsoft Fabric RTI server to accelerate working with Eventhouse, Azure Data Explorer(Kusto), Eventstreams and other RTI items using your favorite LLM models.
- **[fabric-mcp-server](https://github.com/adapoet/fabric-mcp-server)** - The fabric-mcp-server is an MCP server that integrates [Fabric](https://github.com/danielmiessler/fabric) patterns with [Cline](https://cline.bot/), exposing them as tools for AI-driven task execution and enhancing Cline's capabilities.
+- **[Fal MCP Server](https://github.com/raveenb/fal-mcp-server)** - Generate AI images, videos, and music using Fal.ai models (FLUX, Stable Diffusion, MusicGen) directly in Claude
- **[Facebook Ads](https://github.com/gomarble-ai/facebook-ads-mcp-server)** - MCP server acting as an interface to the Facebook Ads, enabling programmatic access to Facebook Ads data and management features.
- **[Facebook Ads 10xeR](https://github.com/fortytwode/10xer)** - Advanced Facebook Ads MCP server with enhanced creative insights, multi-dimensional breakdowns, and comprehensive ad performance analytics.
- **[Facebook Ads Library](https://github.com/trypeggy/facebook-ads-library-mcp)** - Get any answer from the Facebook Ads Library, conduct deep research including messaging, creative testing and comparisons in seconds.
@@ -676,6 +698,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Fastmail MCP](https://github.com/MadLlama25/fastmail-mcp)** - Access Fastmail via JMAP: list/search emails, send and move mail, handle attachments/threads, plus contacts and calendar tools.
- **[fastn.ai – Unified API MCP Server](https://github.com/fastnai/mcp-fastn)** - A remote, dynamic MCP server with a unified API that connects to 1,000+ tools, actions, and workflows, featuring built-in authentication and monitoring.
- **[FDIC BankFind MCP Server - (Unofficial)](https://github.com/clafollett/fdic-bank-find-mcp-server)** - The is a MCPserver that brings the power of FDIC BankFind APIs straight to your AI tools and workflows. Structured U.S. banking data, delivered with maximum vibes. 😎📊
+- **[FPE Demo MCP](https://github.com/Horizon-Digital-Engineering/fpe-demo-mcp)** - FF3 Format Preserving Encryption with authentication patterns for secure data protection in LLM workflows.
- **[Federal Reserve Economic Data (FRED)](https://github.com/stefanoamorelli/fred-mcp-server)** (by Stefano Amorelli) - Community developed MCP server to interact with the Federal Reserve Economic Data.
- **[Fetch](https://github.com/zcaceres/fetch-mcp)** - A server that flexibly fetches HTML, JSON, Markdown, or plaintext.
- **[Feyod](https://github.com/jeroenvdmeer/feyod-mcp)** - A server that answers questions about football matches, and specialised in the football club Feyenoord.
@@ -688,7 +711,6 @@ A growing set of community-developed and maintained servers demonstrates various
- **[FileSystem Server](https://github.com/Oncorporation/filesystem_server)** - Local MCP server for Visual Studio 2022 that provides code-workspace functionality by giving AI agents selective access to project folders and files
- **[finmap.org](https://github.com/finmap-org/mcp-server)** MCP server provides comprehensive historical data from the US, UK, Russian and Turkish stock exchanges. Access sectors, tickers, company profiles, market cap, volume, value, and trade counts, as well as treemap and histogram visualizations.
- **[Firebase](https://github.com/gannonh/firebase-mcp)** - Server to interact with Firebase services including Firebase Authentication, Firestore, and Firebase Storage.
-- **[FireCrawl](https://github.com/vrknetha/mcp-server-firecrawl)** - Advanced web scraping with JavaScript rendering, PDF support, and smart rate limiting
- **[Fish Audio](https://github.com/da-okazaki/mcp-fish-audio-server)** - Text-to-Speech integration with Fish Audio's API, supporting multiple voices, streaming, and real-time playback
- **[FitBit MCP Server](https://github.com/NitayRabi/fitbit-mcp)** - An MCP server that connects to FitBit API using a token obtained from OAuth flow.
- **[FlightRadar24](https://github.com/sunsetcoder/flightradar24-mcp-server)** - A Claude Desktop MCP server that helps you track flights in real-time using Flightradar24 data.
@@ -701,6 +723,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[freqtrade-mcp](https://github.com/kukapay/freqtrade-mcp)** - An MCP server that integrates with the Freqtrade cryptocurrency trading bot.
- **[GDB](https://github.com/pansila/mcp_server_gdb)** - A GDB/MI protocol server based on the MCP protocol, providing remote application debugging capabilities with AI assistants.
- **[ggRMCP](https://github.com/aalobaidi/ggRMCP)** - A Go gateway that converts gRPC services into MCP-compatible tools, allowing AI models like Claude to directly call your gRPC services.
+- **[Gemini Bridge](https://github.com/eLyiN/gemini-bridge)** - Lightweight MCP server that enables Claude to interact with Google's Gemini AI through the official CLI, offering zero API costs and stateless architecture.
- **[Ghost](https://github.com/MFYDev/ghost-mcp)** - A Model Context Protocol (MCP) server for interacting with Ghost CMS through LLM interfaces like Claude.
- **[Git](https://github.com/geropl/git-mcp-go)** - Allows LLM to interact with a local git repository, incl. optional push support.
- **[Git Mob](https://github.com/Mubashwer/git-mob-mcp-server)** - MCP server that interfaces with the [git-mob](https://github.com/Mubashwer/git-mob) CLI app for managing co-authors in git commits during pair/mob programming.
@@ -722,6 +745,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Godot](https://github.com/Coding-Solo/godot-mcp)** - An MCP server providing comprehensive Godot engine integration for project editing, debugging, and scene management.
- **[Golang Filesystem Server](https://github.com/mark3labs/mcp-filesystem-server)** - Secure file operations with configurable access controls built with Go!
- **[Goodnews](https://github.com/VectorInstitute/mcp-goodnews)** - A simple MCP server that delivers curated positive and uplifting news stories.
+- **[Gopher MCP](https://github.com/cameronrye/gopher-mcp)** - Modern, cross-platform MCP server that enables AI assistants to browse and interact with both Gopher protocol and Gemini protocol resources safely and efficiently.
- **[Google Ads](https://github.com/gomarble-ai/google-ads-mcp-server)** - MCP server acting as an interface to the Google Ads, enabling programmatic access to Facebook Ads data and management features.
- **[Google Analytics](https://github.com/surendranb/google-analytics-mcp)** - Google Analytics MCP Server to bring data across 200+ dimensions & metrics for LLMs to analyse.
- **[Google Calendar](https://github.com/v-3/google-calendar)** - Integration with Google Calendar to check schedules, find time, and add/delete events
@@ -805,6 +829,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[kintone](https://github.com/macrat/mcp-server-kintone)** - Manage records and apps in [kintone](https://kintone.com) through LLM tools.
- **[Kokoro TTS](https://github.com/mberg/kokoro-tts-mcp)** - Use Kokoro text to speech to convert text to MP3s with optional autoupload to S3.
- **[Kong Konnect](https://github.com/Kong/mcp-konnect)** - A Model Context Protocol (MCP) server for interacting with Kong Konnect APIs, allowing AI assistants to query and analyze Kong Gateway configurations, traffic, and analytics.
+- **[Korea Stock Analyzer](https://github.com/Mrbaeksang/korea-stock-analyzer-mcp)** - Analyze Korean stocks (KOSPI/KOSDAQ) with 6 legendary investment strategies including Buffett, Lynch, Graham, Greenblatt, Fisher, and Templeton.
- **[Kubernetes](https://github.com/Flux159/mcp-server-kubernetes)** - Connect to Kubernetes cluster and manage pods, deployments, and services.
- **[Kubernetes and OpenShift](https://github.com/manusa/kubernetes-mcp-server)** - A powerful Kubernetes MCP server with additional support for OpenShift. Besides providing CRUD operations for any Kubernetes resource, this server provides specialized tools to interact with your cluster.
- **[KubeSphere](https://github.com/kubesphere/ks-mcp-server)** - The KubeSphere MCP Server is a Model Context Protocol(MCP) server that provides integration with KubeSphere APIs, enabling to get resources from KubeSphere. Divided into four tools modules: Workspace Management, Cluster Management, User and Roles, Extensions Center.
@@ -823,6 +848,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Linear](https://github.com/jerhadf/linear-mcp-server)** - Allows LLM to interact with Linear's API for project management, including searching, creating, and updating issues.
- **[Linear (Go)](https://github.com/geropl/linear-mcp-go)** - Allows LLM to interact with Linear's API via a single static binary.
- **[Linear MCP](https://github.com/anoncam/linear-mcp)** - Full blown implementation of the Linear SDK to support comprehensive Linear management of projects, initiatives, issues, users, teams and states.
+- **[Linked API MCP](https://github.com/Linked-API/linkedapi-mcp)** - MCP server that lets AI assistants control LinkedIn accounts and retrieve real-time data.
- **[Listmonk MCP Server](https://github.com/rhnvrm/listmonk-mcp)** (by rhnvrm) - Full API coverage of [Listmonk](https://github.com/knadh/listmonk) email marketing FOSS.
- **[LlamaCloud](https://github.com/run-llama/mcp-server-llamacloud)** (by marcusschiesser) - Integrate the data stored in a managed index on [LlamaCloud](https://cloud.llamaindex.ai/)
- **[lldb-mcp](https://github.com/stass/lldb-mcp)** - A Model Context Protocol server for LLDB that provides LLM-driven debugging.
@@ -842,6 +868,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Magg: The MCP Aggregator](https://github.com/sitbon/magg)** - A meta-MCP server that acts as a universal hub, allowing LLMs to autonomously discover, install, and orchestrate multiple MCP servers - essentially giving AI assistants the power to extend their own capabilities on-demand. Includes `mbro`, a powerful CLI MCP server browser with scripting capability.
- **[Mailchimp MCP](https://github.com/AgentX-ai/mailchimp-mcp)** - Allows AI agents to interact with the Mailchimp API (read-only)
- **[MalwareBazaar_MCP](https://github.com/mytechnotalent/MalwareBazaar_MCP)** (by Kevin Thomas) - An AI-driven MCP server that autonomously interfaces with MalwareBazaar, delivering real-time threat intel and sample metadata for authorized cybersecurity research workflows.
+- **[Mandoline](https://github.com/mandoline-ai/mandoline-mcp-server)** - Enable AI assistants to reflect on, critique, and continuously improve their own performance using Mandoline's evaluation framework.
- **[Matrix](https://github.com/mjknowles/matrix-mcp-server)** - Interact with a Matrix homeserver.
- **[man-mcp-server](https://github.com/guyru/man-mcp-server)** - MCP to search and access man pages on the local machine.
- **[MariaDB](https://github.com/abel9851/mcp-server-mariadb)** - MariaDB database integration with configurable access controls in Python.
@@ -855,9 +882,10 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Maton](https://github.com/maton-ai/agent-toolkit/tree/main/modelcontextprotocol)** - Connect to your SaaS tools like HubSpot, Salesforce, and more.
- **[Maven Tools MCP](https://github.com/arvindand/maven-tools-mcp)** - Maven Central dependency intelligence for JVM build tools. Supports all build tools (Maven, Gradle, SBT, Mill) with Context7 integration for documentation support.
- **[MCP-Airflow-API](https://github.com/call518/MCP-Airflow-API)** - Model Context Protocol (MCP) server for Apache Airflow API integration. Provides comprehensive tools for managing Airflow clusters including service operations, configuration management, status monitoring, and request tracking.
+- **[mcpcap](https://github.com/mcpcap/mcpcap)** - A modular Python MCP (Model Context Protocol) Server for analyzing PCAP files.
- **[MCP Compass](https://github.com/liuyoshio/mcp-compass)** - Suggest the right MCP server for your needs
- **[MCP Create](https://github.com/tesla0225/mcp-create)** - A dynamic MCP server management service that creates, runs, and manages Model Context Protocol servers on-the-fly.
-- **[MCP Documentation Server](https://github.com/andrea9293/mcp-documentation-server)** - Server that provides local document management and semantic search capabilities. Upload documents, search them with AI embeddings, and integrate seamlessly with MCP clients like Claude Desktop and vs code.
+- **[MCP Documentation Server](https://github.com/andrea9293/mcp-documentation-server)** - Server that provides local-first document management and semantic search via embeddings or Gemini AI (recommended). Optimized for performance with disk persistence, an in-memory index, and caching.
- **[MCP Installer](https://github.com/anaisbetts/mcp-installer)** - This server is a server that installs other MCP servers for you.
- **[MCP ProjectManage OpenProject](https://github.com/boma086/mcp-projectmanage-openproject)** - This server provides the MCP service for project weekly reports, with project management information supplied by OpenProject.
- **[MCP Proxy Server](https://github.com/TBXark/mcp-proxy)** - An MCP proxy server that aggregates and serves multiple MCP resource servers through a single HTTP server.
@@ -883,8 +911,10 @@ A growing set of community-developed and maintained servers demonstrates various
- **[mcp-screenshot-website-fast](https://github.com/just-every/mcp-screenshot-website-fast)** - High-quality screenshot capture optimized for Claude Vision API. Automatically tiles full pages into 1072x1072 chunks (1.15 megapixels) with configurable viewports and wait strategies for dynamic content.
- **[mcp-server-leetcode](https://github.com/doggybee/mcp-server-leetcode)** - Practice and retrieve problems from LeetCode. Automate problem retrieval, solutions, and insights for coding practice and competitions.
- **[Mcp-Swagger-Server](https://github.com/zaizaizhao/mcp-swagger-server)** (by zaizaizhao) - This MCP server transforms OpenAPI specifications into MCP tools, enabling AI assistants to interact with REST APIs through standardized protocol
+- **[MCP Dynamic Tool Groups](https://github.com/ECF/MCPToolGroups)** - Example MCP servers that use [annotated](https://github.com/spring-ai-community/mcp-annotations) Java interfaces/classes as 'tool groups'. Using standard MCP annotations, service implementations can then, at runtime, be used to generate tool specifications, and then dynamically added or removed from MCP servers. The functionality is demonstrated in a sample tool group, but can be similarly used for any API or service.
- **[mcp-vision](https://github.com/groundlight/mcp-vision)** - An MCP server exposing HuggingFace computer vision models such as zero-shot object detection as tools, enhancing the vision capabilities of large language or vision-language models.
- **[mcp-weather](https://github.com/TimLukaHorstmann/mcp-weather)** - Accurate weather forecasts via the AccuWeather API (free tier available).
+- **[KnowAir Weather MCP](https://github.com/shuowang-ai/Weather-MCP)** - A comprehensive Model Context Protocol (MCP) server providing real-time weather data, air quality monitoring, forecasts, and astronomical information powered by Caiyun Weather API.
- **[mcp-youtube-extract](https://github.com/sinjab/mcp_youtube_extract)** - A Model Context Protocol server for YouTube operations, extracting video information and transcripts with intelligent fallback logic. Features comprehensive logging, error handling, and support for both auto-generated and manual transcripts.
- **[mcp_weather](https://github.com/isdaniel/mcp_weather_server)** - Get weather information from https://api.open-meteo.com API.
- **[MCPfinder](https://github.com/mcpfinder/server)** - The AI Agent's "App Store": Discover, install, and monetize AI capabilities — all within the MCP ecosystem.
@@ -906,13 +936,14 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Microsoft 365](https://github.com/softeria/ms-365-mcp-server)** - MCP server that connects to Microsoft Office and the whole Microsoft 365 suite using Graph API (including Outlook/mail, files, Excel, calendar)
- **[Microsoft 365](https://github.com/pnp/cli-microsoft365-mcp-server)** - Single MCP server that allows to manage many different areas of Microsoft 365, for example: Entra ID, OneDrive, OneNote, Outlook, Planner, Power Apps, Power Automate, Power Platform, SharePoint Embedded, SharePoint Online, Teams, Viva Engage, and many more.
- **[Microsoft 365 Files (SharePoint/OneDrive)](https://github.com/godwin3737/mcp-server-microsoft365-filesearch)** (by godwin3737) - MCP server with tools to search and get file content from Microsoft 365 including Onedrive and SharePoint. Works with Documents (pdf/docx), Presentations, Spreadsheets and Images.
-- **[Microsoft Teams](https://github.com/InditexTech/mcp-teams-server)** - MCP server that integrates Microsoft Teams messaging (read, post, mention, list members and threads)
+- **[Microsoft Teams](https://github.com/InditexTech/mcp-teams-server)** - MCP server that integrates Microsoft Teams messaging (read, post, mention, list members and threads)
- **[Mifos X](https://github.com/openMF/mcp-mifosx)** - An MCP server for the Mifos X Open Source Banking useful for managing clients, loans, savings, shares, financial transactions and generating financial reports.
- **[Mikrotik](https://github.com/jeff-nasseri/mikrotik-mcp)** - Mikrotik MCP server which cover networking operations (IP, DHCP, Firewall, etc)
- **[Mindmap](https://github.com/YuChenSSR/mindmap-mcp-server)** (by YuChenSSR) - A server that generates mindmaps from input containing markdown code.
- **[Minima](https://github.com/dmayboroda/minima)** - MCP server for RAG on local files
+- **[Modao Proto MCP](https://github.com/modao-dev/modao-proto-mcp)** - AI-powered HTML prototype generation server that converts natural language descriptions into complete HTML code with modern design and responsive layouts. Supports design description expansion and seamless integration with Modao workspace.
- **[Mobile MCP](https://github.com/mobile-next/mobile-mcp)** (by Mobile Next) - MCP server for Mobile(iOS/Android) automation, app scraping and development using physical devices or simulators/emulators.
-- **[Monday.com](https://github.com/sakce/mcp-server-monday)** - MCP Server to interact with Monday.com boards and items.
+- **[Monday.com (unofficial)](https://github.com/sakce/mcp-server-monday)** - MCP Server to interact with Monday.com boards and items.
- **[MongoDB](https://github.com/kiliczsh/mcp-mongo-server)** - A Model Context Protocol Server for MongoDB.
- **[MongoDB & Mongoose](https://github.com/nabid-pf/mongo-mongoose-mcp)** - MongoDB MCP Server with Mongoose Schema and Validation.
- **[MongoDB Lens](https://github.com/furey/mongodb-lens)** - Full Featured MCP Server for MongoDB Databases.
@@ -964,6 +995,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Okta](https://github.com/kapilduraphe/okta-mcp-server)** - Interact with Okta API.
- **[OKX-MCP-Server](https://github.com/memetus/okx-mcp-playground)** - An MCP server provides various blockchain data and market price data via the OKX API. The server enables Claude to perform operations like retrieve assets prices, transaction data, account history data and trade instruction data.
- **[OneNote](https://github.com/rajvirtual/MCP-Servers/tree/master/onenote)** - (by Rajesh Vijay) An MCP server that connects to Microsoft OneNote using the Microsoft Graph API. Reading notebooks, sections, and pages from OneNote,Creating new notebooks, sections, and pages in OneNote.
+- **[Onyx MCP Sandbox](https://github.com/avd1729/Onyx)** – (by Aravind) A secure MCP server that executes code in isolated Docker sandboxes. Supports Python, Java, C, C++, JavaScript, and Rust. Provides the `run_code` tool, enforces CPU/memory limits, includes comprehensive tests, and detailed setup instructions.
- **[Open Strategy Partners Marketing Tools](https://github.com/open-strategy-partners/osp_marketing_tools)** - Content editing codes, value map, and positioning tools for product marketing.
- **[OpenAI WebSearch MCP](https://github.com/ConechoAI/openai-websearch-mcp)** - This is a Python-based MCP server that provides OpenAI `web_search` built-in tool.
- **[OpenAlex.org MCP](https://github.com/drAbreu/alex-mcp)** - Professional MCP server providing ML-powered author disambiguation and comprehensive researcher profiles using the OpenAlex database.
@@ -1005,6 +1037,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[PDMT](https://github.com/paiml/pdmt)** - Pragmatic Deterministic MCP Templating - High-performance deterministic templating library with comprehensive todo validation, quality enforcement, and 0.0 temperature generation for reproducible outputs.
- **[Peacock for VS Code](https://github.com/johnpapa/peacock-mcp)** - MCP Server for the Peacock extension for VS Code, coloring your world, one Code editor at a time. The main goal of the project is to show how an MCP server can be used to interact with APIs.
- **[persistproc](https://github.com/irskep/persistproc)** - MCP server + command line tool that allows agents to see & control long-running processes like web servers.
+- **[Pexels](https://github.com/garylab/pexels-mcp-server)** - A MCP server providing access to Pexels Free Image API, enabling seamless search, retrieval, and download of high-quality royalty-free images.
- **[Pharos](https://github.com/QuentinCody/pharos-mcp-server)** - Unofficial MCP server for the Pharos database by the National Center for Advancing Translational Sciences (NCATS), providing access to target, drug, and disease information for drug discovery research.
- **[Phone MCP](https://github.com/hao-cyber/phone-mcp)** - 📱 A powerful plugin that lets you control your Android phone. Enables AI agents to perform complex tasks like automatically playing music based on weather or making calls and sending texts.
- **[PIF](https://github.com/hungryrobot1/MCP-PIF)** - A Personal Intelligence Framework (PIF), providing tools for file operations, structured reasoning, and journal-based documentation to support continuity and evolving human-AI collaboration across sessions.
@@ -1046,6 +1079,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[RCSB PDB](https://github.com/QuentinCody/rcsb-pdb-mcp-server)** - Unofficial MCP server for the Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), providing access to 3D protein structures, experimental data, and structural bioinformatics information.
- **[Reaper](https://github.com/dschuler36/reaper-mcp-server)** - Interact with your [Reaper](https://www.reaper.fm/) (Digital Audio Workstation) projects.
- **[Redbee](https://github.com/Tamsi/redbee-mcp)** - Redbee MCP server that provides support for interacting with Redbee API.
+- **[Redfish](https://github.com/nokia/mcp-redfish)** - Redfish MCP server that provides support for interacting with [DMTF Redfish API](https://www.dmtf.org/standards/redfish).
- **[Redis](https://github.com/GongRzhe/REDIS-MCP-Server)** - Redis database operations and caching microservice server with support for key-value operations, expiration management, and pattern-based key listing.
- **[Redis](https://github.com/prajwalnayak7/mcp-server-redis)** MCP server to interact with Redis Server, AWS Memory DB, etc for caching or other use-cases where in-memory and key-value based storage is appropriate
- **[RedNote MCP](https://github.com/ifuryst/rednote-mcp)** - MCP server for accessing RedNote(XiaoHongShu, xhs) content
@@ -1063,6 +1097,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Salesforce MCP](https://github.com/smn2gnt/MCP-Salesforce)** - Interact with Salesforce Data and Metadata
- **[Salesforce MCP (AiondaDotCom)](https://github.com/AiondaDotCom/mcp-salesforce)** - Universal Salesforce integration with OAuth authentication, smart learning system, comprehensive backup capabilities, and full CRUD operations for any Salesforce org including custom objects and fields.
- **[Salesforce MCP Server](https://github.com/tsmztech/mcp-server-salesforce)** - Comprehensive Salesforce integration with tools for querying records, executing Apex, managing fields/objects, and handling debug logs
+- **[Scanova MCP Server](https://github.com/trycon/scanova-mcp)** - MCP server for creating and managing QR codes using the [Scanova](https://scanova.io) API. Provides tools for generating, managing, and downloading QR codes.
- **[SchemaCrawler](https://github.com/schemacrawler/SchemaCrawler-MCP-Server-Usage)** - Connect to any relational database, and be able to get valid SQL, and ask questions like what does a certain column prefix mean.
- **[SchemaFlow](https://github.com/CryptoRadi/schemaflow-mcp-server)** - Real-time PostgreSQL & Supabase database schema access for AI-IDEs via Model Context Protocol. Provides live database context through secure SSE connections with three powerful tools: get_schema, analyze_database, and check_schema_alignment. [SchemaFlow](https://schemaflow.dev)
- **[Scholarly](https://github.com/adityak74/mcp-scholarly)** - An MCP server to search for scholarly and academic articles.
@@ -1074,7 +1109,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[SearXNG Public](https://github.com/pwilkin/mcp-searxng-public)** - A Model Context Protocol Server for retrieving data from public [SearXNG](https://docs.searxng.org) instances, with fallback support
- **[SEC EDGAR](https://github.com/stefanoamorelli/sec-edgar-mcp)** - (by Stefano Amorelli) A community Model Context Protocol Server to access financial filings and data through the U.S. Securities and Exchange Commission ([SEC](https://www.sec.gov/)) `Electronic Data Gathering, Analysis, and Retrieval` ([EDGAR](https://www.sec.gov/submit-filings/about-edgar)) database
- **[SEO MCP](https://github.com/cnych/seo-mcp)** - A free SEO tool MCP (Model Control Protocol) service based on Ahrefs data. Includes features such as backlinks, keyword ideas, and more. by [claudemcp](https://www.claudemcp.com/servers/seo-mcp).
-- **[Serper](https://github.com/garymengcom/serper-mcp-server)** - An MCP server that performs Google searches using [Serper](https://serper.dev).
+- **[Serper](https://github.com/garylab/serper-mcp-server)** - An MCP server that performs Google searches using [Serper](https://serper.dev).
- **[ServiceNow](https://github.com/osomai/servicenow-mcp)** - An MCP server to interact with a ServiceNow instance
- **[ShaderToy](https://github.com/wilsonchenghy/ShaderToy-MCP)** - This MCP server lets LLMs to interact with the ShaderToy API, allowing LLMs to learn from compute shaders examples and enabling them to create complex GLSL shaders that they are previously not capable of.
- **[ShareSeer](https://github.com/shareseer/shareseer-mcp-server)** - MCP to Access SEC filings, financials & insider trading data in real time using [ShareSeer](https://shareseer.com)
@@ -1090,11 +1125,13 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Slidespeak](https://github.com/SlideSpeak/slidespeak-mcp)** - Create PowerPoint presentations using the [Slidespeak](https://slidespeak.com/) API.
- **[Smartlead](https://github.com/jean-technologies/smartlead-mcp-server-local)** - MCP to connect to Smartlead. Additional, tooling, functionality, and connection to workflow automation platforms also available.
- **[Snowflake](https://github.com/isaacwasserman/mcp-snowflake-server)** - This MCP server enables LLMs to interact with Snowflake databases, allowing for secure and controlled data operations.
+- **[Snowflake Cortex MCP Server](https://github.com/thisisbhanuj/Snowflake-Cortex-MCP-Server)** -This Snowflake MCP server provides tooling for Snowflake Cortex AI features, bringing these capabilities to the MCP ecosystem. When connected to an MCP Client (e.g. Claude for Desktop, fast-agent, Agentic Orchestration Framework), users can leverage these Cortex AI features.
- **[SoccerDataAPI](https://github.com/yeonupark/mcp-soccer-data)** - This MCP server provides real-time football match data based on the SoccerDataAPI.
- **[Solana Agent Kit](https://github.com/sendaifun/solana-agent-kit/tree/main/examples/agent-kit-mcp-server)** - This MCP server enables LLMs to interact with the Solana blockchain with help of Solana Agent Kit by SendAI, allowing for 40+ protocol actions and growing
- **[Solr MCP](https://github.com/mjochum64/mcp-solr-search)** - This MCP server offers a basic functionality to perform a search on Solr servers.
-- **[Solver](https://github.com/szeider/mcp-solver)** - Solves constraint satisfaction and optimization problems .
+- **[Solver](https://github.com/szeider/mcp-solver)** - Solves constraint satisfaction and optimization problems .
- **[Solvitor](https://github.com/Adeptus-Innovatio/solvitor-mcp)** – Solvitor MCP server provides tools to access reverse engineering tools that help developers extract IDL files from closed - source Solana smart contracts and decompile them.
+- **[Sourcerer](https://github.com/st3v3nmw/sourcerer-mcp)** - MCP for semantic code search & navigation that reduces token waste.
- **[Specbridge](https://github.com/TBosak/specbridge)** - Easily turn your OpenAPI specs into MCP Tools.
- **[Splunk](https://github.com/jkosik/mcp-server-splunk)** - Golang MCP server for Splunk (lists saved searches, alerts, indexes, macros...). Supports SSE and STDIO.
- **[Spotify](https://github.com/varunneal/spotify-mcp)** - This MCP allows an LLM to play and use Spotify.
@@ -1138,10 +1175,12 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Thales CDSP CRDP MCP Server](https://github.com/sanyambassi/thales-cdsp-crdp-mcp-server)** - A Model Context Protocol (MCP) server that allows interacting with the CipherTrust RestFul Data Protection (CRDP) data protection service.
- **[Thales CipherTrust Manager MCP Server](https://github.com/sanyambassi/ciphertrust-manager-mcp-server)** - MCP server for Thales CipherTrust Manager integration, enabling secure key management and cryptographic operations.
- **[thegraph-mcp](https://github.com/kukapay/thegraph-mcp)** - An MCP server that powers AI agents with indexed blockchain data from The Graph.
+- **[TheHive MCP Server](https://github.com/redwaysecurity/the-hive-mcp-server)** - An MCP server for [TheHive](https://strangebee.com/thehive/) Security Incident Response Platform.
- **[Things3 MCP](https://github.com/urbanogardun/things3-mcp)** - Things3 task management integration for macOS with comprehensive TODO, project, and tag management.
- **[Think MCP](https://github.com/Rai220/think-mcp)** - Enhances any agent's reasoning capabilities by integrating the think-tools, as described in [Anthropic's article](https://www.anthropic.com/engineering/claude-think-tool).
- **[Think Node MCP](https://github.com/abhinav-mangla/think-tool-mcp)** - Enhances any agent's reasoning capabilities by integrating the think-tools, as described in [Anthropic's article](https://www.anthropic.com/engineering/claude-think-tool). (Works with Node)
- **[Ticketmaster](https://github.com/delorenj/mcp-server-ticketmaster)** - Search for events, venues, and attractions through the Ticketmaster Discovery API
+- **[Ticketmaster MCP Server](https://github.com/mochow13/ticketmaster-mcp-server)** - A Model Context Protocol (MCP) server implemented in Streamable HTTP transport that allows AI models to interact with the Ticketmaster Discovery API, enabling searching events, venues, and attractions.
- **[TickTick](https://github.com/alexarevalo9/ticktick-mcp-server)** - A Model Context Protocol (MCP) server designed to integrate with the TickTick task management platform, enabling intelligent context-aware task operations and automation.
- **[TigerGraph](https://github.com/custom-discoveries/TigerGraph_MCP)** - A community built MCP server that interacts with TigerGraph Graph Database.
- **[tip.md](https://github.com/tipdotmd#-mcp-server-for-ai-assistants)** - An MCP server that enables AI assistants to interact with tip.md's crypto tipping functionality, allowing agents or supporters to tip registered developers directly from AI chat interfaces.
@@ -1200,6 +1239,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Whois MCP](https://github.com/bharathvaj-ganesan/whois-mcp)** - MCP server that performs whois lookup against domain, IP, ASN and TLD.
- **[Wikidata MCP](https://github.com/zzaebok/mcp-wikidata)** - Wikidata MCP server that interact with Wikidata, by searching identifiers, extracting metadata, and executing sparql query.
- **[Wikidata SPARQL](https://github.com/QuentinCody/wikidata-sparql-mcp-server)** - Unofficial REMOTE MCP server for Wikidata's SPARQL endpoint, providing access to structured knowledge data, entity relationships, and semantic queries for research and data analysis.
+- **[Wikifunctions](https://github.com/Fredibau/wikifunctions-mcp-fredibau)** - Allowing AI models to discover and execute functions from the WikiFunctions library.
- **[Wikipedia MCP](https://github.com/Rudra-ravi/wikipedia-mcp)** - Access and search Wikipedia articles via MCP for AI-powered information retrieval.
- **[WildFly MCP](https://github.com/wildfly-extras/wildfly-mcp)** - WildFly MCP server that enables LLM to interact with running WildFly servers (retrieve metrics, logs, invoke operations, ...).
- **[Windows CLI](https://github.com/SimonB97/win-cli-mcp-server)** - MCP server for secure command-line interactions on Windows systems, enabling controlled access to PowerShell, CMD, and Git Bash shells.
@@ -1224,10 +1264,12 @@ A growing set of community-developed and maintained servers demonstrates various
- **[YouTube](https://github.com/Klavis-AI/klavis/tree/main/mcp_servers/youtube)** - Extract Youtube video information (with proxies support).
- **[YouTube](https://github.com/ZubeidHendricks/youtube-mcp-server)** - Comprehensive YouTube API integration for video management, Shorts creation, and analytics.
- **[YouTube DLP](https://github.com/AgentX-ai/youtube-dlp-server)** - Retrieve video information, subtitles, and top comments with proxies.
+- **[YouTube MCP](https://github.com/aardeshir/youtube-mcp)** - Create playlists from song lists with OAuth2. Search videos, manage playlists, let AI curate your YouTube collections.
- **[Youtube Uploader MCP](https://github.com/anwerj/youtube-uploader-mcp)** - AI‑powered YouTube uploader—no CLI, no YouTube Studio.
- **[YouTube Video Summarizer](https://github.com/nabid-pf/youtube-video-summarizer-mcp)** - Summarize lengthy youtube videos.
- **[yutu](https://github.com/eat-pray-ai/yutu)** - A fully functional MCP server and CLI for YouTube to automate YouTube operation.
- **[ZapCap](https://github.com/bogdan01m/zapcap-mcp-server)** - MCP server for ZapCap API providing video caption and B-roll generation via natural language
+- **[Zettelkasten](https://github.com/joshylchen/zettelkasten)**- Comprehensive AI-powered knowledge management system implementing the Zettelkasten method. Features atomic note creation, full-text search, AI-powered CEQRC workflows (Capture→Explain→Question→Refine→Connect), intelligent link discovery, and multi-interface access (CLI, API, Web UI, MCP). Perfect for researchers, students, and knowledge workers.
- **[ZincBind](https://github.com/QuentinCody/zincbind-mcp-server)** - Unofficial MCP server for ZincBind, providing access to a comprehensive database of zinc binding sites in proteins, structural coordination data, and metalloproteomics research information.
- **[Zoom](https://github.com/Prathamesh0901/zoom-mcp-server/tree/main)** - Create, update, read and delete your zoom meetings.
## 📚 Frameworks
@@ -1308,6 +1350,7 @@ Additional resources on MCP.
- **[mcpm](https://github.com/pathintegral-institute/mcpm.sh)** ([website](https://mcpm.sh)) - MCP Manager (MCPM) is a Homebrew-like service for managing Model Context Protocol (MCP) servers across clients by **[Pathintegral](https://github.com/pathintegral-institute)**
- **[MCPVerse](https://mcpverse.dev)** - A portal for creating & hosting authenticated MCP servers and connecting to them securely.
- **[MCP Servers Search](https://github.com/atonomus/mcp-servers-search)** - An MCP server that provides tools for querying and discovering available MCP servers from this list.
+- **[Search MCP Server](https://github.com/krzysztofkucmierz/search-mcp-server)** - Recommends the most relevant MCP servers based on the client's query by searching this README file.
- **[MCPWatch](https://github.com/kapilduraphe/mcp-watch)** - A comprehensive security scanner for Model Context Protocol (MCP) servers that detects vulnerabilities and security issues in your MCP server implementations.
- 
**[mkinf](https://mkinf.io)** - An Open Source registry of hosted MCP Servers to accelerate AI agent workflows.
- **[Open-Sourced MCP Servers Directory](https://github.com/chatmcp/mcp-directory)** - A curated list of MCP servers by **[mcpso](https://mcp.so)**
diff --git a/package-lock.json b/package-lock.json
index c07a7418..7a6e772c 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -1376,6 +1376,16 @@
"@types/node": "*"
}
},
+ "node_modules/@types/cors": {
+ "version": "2.8.19",
+ "resolved": "https://registry.npmjs.org/@types/cors/-/cors-2.8.19.tgz",
+ "integrity": "sha512-mFNylyeyqN93lfe/9CSxOGREz8cpzAhH+E93xJ4xWQf62V8sQ/24reV2nyzUWM6H6Xji+GGHpkbLe7pVoUEskg==",
+ "dev": true,
+ "license": "MIT",
+ "dependencies": {
+ "@types/node": "*"
+ }
+ },
"node_modules/@types/diff": {
"version": "5.2.3",
"resolved": "https://registry.npmjs.org/@types/diff/-/diff-5.2.3.tgz",
@@ -5818,7 +5828,8 @@
"version": "0.6.2",
"license": "MIT",
"dependencies": {
- "@modelcontextprotocol/sdk": "^1.12.0",
+ "@modelcontextprotocol/sdk": "^1.18.0",
+ "cors": "^2.8.5",
"express": "^4.21.1",
"zod": "^3.23.8",
"zod-to-json-schema": "^3.23.5"
@@ -5827,15 +5838,16 @@
"mcp-server-everything": "dist/index.js"
},
"devDependencies": {
+ "@types/cors": "^2.8.19",
"@types/express": "^5.0.0",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
},
"src/everything/node_modules/@modelcontextprotocol/sdk": {
- "version": "1.12.3",
- "resolved": "https://registry.npmjs.org/@modelcontextprotocol/sdk/-/sdk-1.12.3.tgz",
- "integrity": "sha512-DyVYSOafBvk3/j1Oka4z5BWT8o4AFmoNyZY9pALOm7Lh3GZglR71Co4r4dEUoqDWdDazIZQHBe7J2Nwkg6gHgQ==",
+ "version": "1.18.0",
+ "resolved": "https://registry.npmjs.org/@modelcontextprotocol/sdk/-/sdk-1.18.0.tgz",
+ "integrity": "sha512-JvKyB6YwS3quM+88JPR0axeRgvdDu3Pv6mdZUy+w4qVkCzGgumb9bXG/TmtDRQv+671yaofVfXSQmFLlWU5qPQ==",
"license": "MIT",
"dependencies": {
"ajv": "^6.12.6",
@@ -5843,6 +5855,7 @@
"cors": "^2.8.5",
"cross-spawn": "^7.0.5",
"eventsource": "^3.0.2",
+ "eventsource-parser": "^3.0.0",
"express": "^5.0.1",
"express-rate-limit": "^7.5.0",
"pkce-challenge": "^5.0.0",
diff --git a/src/everything/README.md b/src/everything/README.md
index 7c98b858..696a77e9 100644
--- a/src/everything/README.md
+++ b/src/everything/README.md
@@ -89,6 +89,13 @@ This MCP server attempts to exercise all the features of the MCP protocol. It is
- `structuredContent` field conformant to the output schema
- A backward compatible Text Content field, a SHOULD advisory in the specification
+11. `listRoots`
+ - Lists the current MCP roots provided by the client
+ - Demonstrates the roots protocol capability even though this server doesn't access files
+ - No inputs required
+ - Returns: List of current roots with their URIs and names, or a message if no roots are set
+ - Shows how servers can interact with the MCP roots protocol
+
### Resources
The server provides 100 test resources in two formats:
@@ -117,7 +124,7 @@ Resource features:
2. `complex_prompt`
- Advanced prompt demonstrating argument handling
- Required arguments:
- - `temperature` (number): Temperature setting
+ - `temperature` (string): Temperature setting
- Optional arguments:
- `style` (string): Output style preference
- Returns: Multi-turn conversation with images
@@ -129,6 +136,18 @@ Resource features:
- Returns: Multi-turn conversation with an embedded resource reference
- Shows how to include resources directly in prompt messages
+### Roots
+
+The server demonstrates the MCP roots protocol capability:
+
+- Declares `roots: { listChanged: true }` capability to indicate support for roots
+- Handles `roots/list_changed` notifications from clients
+- Requests initial roots during server initialization
+- Provides a `listRoots` tool to display current roots
+- Logs roots-related events for demonstration purposes
+
+Note: This server doesn't actually access files, but demonstrates how servers can interact with the roots protocol for clients that need to understand which directories are available for file operations.
+
### Logging
The server sends random-leveled log messages every 15 seconds, e.g.:
diff --git a/src/everything/everything.ts b/src/everything/everything.ts
index 19dd646c..e8b2f672 100644
--- a/src/everything/everything.ts
+++ b/src/everything/everything.ts
@@ -1,6 +1,7 @@
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import {
CallToolRequestSchema,
+ ClientCapabilities,
CompleteRequestSchema,
CreateMessageRequest,
CreateMessageResultSchema,
@@ -12,11 +13,12 @@ import {
LoggingLevel,
ReadResourceRequestSchema,
Resource,
- SetLevelRequestSchema,
+ RootsListChangedNotificationSchema,
SubscribeRequestSchema,
Tool,
ToolSchema,
UnsubscribeRequestSchema,
+ type Root
} from "@modelcontextprotocol/sdk/types.js";
import { z } from "zod";
import { zodToJsonSchema } from "zod-to-json-schema";
@@ -96,6 +98,8 @@ const GetResourceLinksSchema = z.object({
.describe("Number of resource links to return (1-10)"),
});
+const ListRootsSchema = z.object({});
+
const StructuredContentSchema = {
input: z.object({
location: z
@@ -129,7 +133,8 @@ enum ToolName {
GET_RESOURCE_REFERENCE = "getResourceReference",
ELICITATION = "startElicitation",
GET_RESOURCE_LINKS = "getResourceLinks",
- STRUCTURED_CONTENT = "structuredContent"
+ STRUCTURED_CONTENT = "structuredContent",
+ LIST_ROOTS = "listRoots"
}
enum PromptName {
@@ -158,8 +163,7 @@ export const createServer = () => {
resources: { subscribe: true },
tools: {},
logging: {},
- completions: {},
- elicitation: {},
+ completions: {}
},
instructions
}
@@ -169,52 +173,49 @@ export const createServer = () => {
let subsUpdateInterval: NodeJS.Timeout | undefined;
let stdErrUpdateInterval: NodeJS.Timeout | undefined;
- let logLevel: LoggingLevel = "debug";
let logsUpdateInterval: NodeJS.Timeout | undefined;
- const messages = [
- { level: "debug", data: "Debug-level message" },
- { level: "info", data: "Info-level message" },
- { level: "notice", data: "Notice-level message" },
- { level: "warning", data: "Warning-level message" },
- { level: "error", data: "Error-level message" },
- { level: "critical", data: "Critical-level message" },
- { level: "alert", data: "Alert level-message" },
- { level: "emergency", data: "Emergency-level message" },
- ];
+ // Store client capabilities
+ let clientCapabilities: ClientCapabilities | undefined;
- const isMessageIgnored = (level: LoggingLevel): boolean => {
- const currentLevel = messages.findIndex((msg) => logLevel === msg.level);
- const messageLevel = messages.findIndex((msg) => level === msg.level);
- return messageLevel < currentLevel;
- };
+ // Roots state management
+ let currentRoots: Root[] = [];
+ let clientSupportsRoots = false;
+ let sessionId: string | undefined;
- // Function to start notification intervals when a client connects
- const startNotificationIntervals = () => {
- if (!subsUpdateInterval) {
- subsUpdateInterval = setInterval(() => {
- for (const uri of subscriptions) {
- server.notification({
- method: "notifications/resources/updated",
- params: { uri },
- });
- }
- }, 10000);
- }
+ // Function to start notification intervals when a client connects
+ const startNotificationIntervals = (sid?: string|undefined) => {
+ sessionId = sid;
+ if (!subsUpdateInterval) {
+ subsUpdateInterval = setInterval(() => {
+ for (const uri of subscriptions) {
+ server.notification({
+ method: "notifications/resources/updated",
+ params: { uri },
+ });
+ }
+ }, 10000);
+ }
- if (!logsUpdateInterval) {
- logsUpdateInterval = setInterval(() => {
- let message = {
- method: "notifications/message",
- params: messages[Math.floor(Math.random() * messages.length)],
- };
- if (!isMessageIgnored(message.params.level as LoggingLevel))
- server.notification(message);
- }, 20000);
+ const maybeAppendSessionId = sessionId ? ` - SessionId ${sessionId}`: "";
+ const messages: { level: LoggingLevel; data: string }[] = [
+ { level: "debug", data: `Debug-level message${maybeAppendSessionId}` },
+ { level: "info", data: `Info-level message${maybeAppendSessionId}` },
+ { level: "notice", data: `Notice-level message${maybeAppendSessionId}` },
+ { level: "warning", data: `Warning-level message${maybeAppendSessionId}` },
+ { level: "error", data: `Error-level message${maybeAppendSessionId}` },
+ { level: "critical", data: `Critical-level message${maybeAppendSessionId}` },
+ { level: "alert", data: `Alert level-message${maybeAppendSessionId}` },
+ { level: "emergency", data: `Emergency-level message${maybeAppendSessionId}` },
+ ];
+
+ if (!logsUpdateInterval) {
+ console.error("Starting logs update interval");
+ logsUpdateInterval = setInterval(async () => {
+ await server.sendLoggingMessage( messages[Math.floor(Math.random() * messages.length)], sessionId);
+ }, 15000);
}
};
-
-
// Helper method to request sampling from client
const requestSampling = async (
context: string,
@@ -511,11 +512,6 @@ export const createServer = () => {
"Returns a resource reference that can be used by MCP clients",
inputSchema: zodToJsonSchema(GetResourceReferenceSchema) as ToolInput,
},
- {
- name: ToolName.ELICITATION,
- description: "Demonstrates the Elicitation feature by asking the user to provide information about their favorite color, number, and pets.",
- inputSchema: zodToJsonSchema(ElicitationSchema) as ToolInput,
- },
{
name: ToolName.GET_RESOURCE_LINKS,
description:
@@ -530,11 +526,22 @@ export const createServer = () => {
outputSchema: zodToJsonSchema(StructuredContentSchema.output) as ToolOutput,
},
];
+ if (clientCapabilities!.roots) tools.push ({
+ name: ToolName.LIST_ROOTS,
+ description:
+ "Lists the current MCP roots provided by the client. Demonstrates the roots protocol capability even though this server doesn't access files.",
+ inputSchema: zodToJsonSchema(ListRootsSchema) as ToolInput,
+ });
+ if (clientCapabilities!.elicitation) tools.push ({
+ name: ToolName.ELICITATION,
+ description: "Demonstrates the Elicitation feature by asking the user to provide information about their favorite color, number, and pets.",
+ inputSchema: zodToJsonSchema(ElicitationSchema) as ToolInput,
+ });
return { tools };
});
- server.setRequestHandler(CallToolRequestSchema, async (request) => {
+ server.setRequestHandler(CallToolRequestSchema, async (request,extra) => {
const { name, arguments: args } = request.params;
if (name === ToolName.ECHO) {
@@ -576,7 +583,7 @@ export const createServer = () => {
total: steps,
progressToken,
},
- });
+ },{relatedRequestId: extra.requestId});
}
}
@@ -728,10 +735,10 @@ export const createServer = () => {
properties: {
color: { type: 'string', description: 'Favorite color' },
number: { type: 'integer', description: 'Favorite number', minimum: 1, maximum: 100 },
- pets: {
- type: 'string',
- enum: ['cats', 'dogs', 'birds', 'fish', 'reptiles'],
- description: 'Favorite pets'
+ pets: {
+ type: 'string',
+ enum: ['cats', 'dogs', 'birds', 'fish', 'reptiles'],
+ description: 'Favorite pets'
},
}
}
@@ -791,11 +798,10 @@ export const createServer = () => {
type: "resource_link",
uri: resource.uri,
name: resource.name,
- description: `Resource ${i + 1}: ${
- resource.mimeType === "text/plain"
- ? "plaintext resource"
- : "binary blob resource"
- }`,
+ description: `Resource ${i + 1}: ${resource.mimeType === "text/plain"
+ ? "plaintext resource"
+ : "binary blob resource"
+ }`,
mimeType: resource.mimeType,
});
}
@@ -819,11 +825,57 @@ export const createServer = () => {
}
return {
- content: [ backwardCompatiblecontent ],
+ content: [backwardCompatiblecontent],
structuredContent: weather
};
}
+ if (name === ToolName.LIST_ROOTS) {
+ ListRootsSchema.parse(args);
+
+ if (!clientSupportsRoots) {
+ return {
+ content: [
+ {
+ type: "text",
+ text: "The MCP client does not support the roots protocol.\n\n" +
+ "This means the server cannot access information about the client's workspace directories or file system roots."
+ }
+ ]
+ };
+ }
+
+ if (currentRoots.length === 0) {
+ return {
+ content: [
+ {
+ type: "text",
+ text: "The client supports roots but no roots are currently configured.\n\n" +
+ "This could mean:\n" +
+ "1. The client hasn't provided any roots yet\n" +
+ "2. The client provided an empty roots list\n" +
+ "3. The roots configuration is still being loaded"
+ }
+ ]
+ };
+ }
+
+ const rootsList = currentRoots.map((root, index) => {
+ return `${index + 1}. ${root.name || 'Unnamed Root'}\n URI: ${root.uri}`;
+ }).join('\n\n');
+
+ return {
+ content: [
+ {
+ type: "text",
+ text: `Current MCP Roots (${currentRoots.length} total):\n\n${rootsList}\n\n` +
+ "Note: This server demonstrates the roots protocol capability but doesn't actually access files. " +
+ "The roots are provided by the MCP client and can be used by servers that need file system access."
+ }
+ ]
+ };
+ }
+
throw new Error(`Unknown tool: ${name}`);
});
@@ -856,23 +908,69 @@ export const createServer = () => {
throw new Error(`Unknown reference type`);
});
- server.setRequestHandler(SetLevelRequestSchema, async (request) => {
- const { level } = request.params;
- logLevel = level;
+ // Roots protocol handlers
+ server.setNotificationHandler(RootsListChangedNotificationSchema, async () => {
+ try {
+ // Request the updated roots list from the client
+ const response = await server.listRoots();
+ if (response && 'roots' in response) {
+ currentRoots = response.roots;
- // Demonstrate different log levels
- await server.notification({
- method: "notifications/message",
- params: {
- level: "debug",
- logger: "test-server",
- data: `Logging level set to: ${logLevel}`,
- },
- });
-
- return {};
+ // Log the roots update for demonstration
+ await server.sendLoggingMessage({
+ level: "info",
+ logger: "everything-server",
+ data: `Roots updated: ${currentRoots.length} root(s) received from client`,
+ }, sessionId);
+ }
+ } catch (error) {
+ await server.sendLoggingMessage({
+ level: "error",
+ logger: "everything-server",
+ data: `Failed to request roots from client: ${error instanceof Error ? error.message : String(error)}`,
+ }, sessionId);
+ }
});
+ // Handle post-initialization setup for roots
+ server.oninitialized = async () => {
+ clientCapabilities = server.getClientCapabilities();
+
+ if (clientCapabilities?.roots) {
+ clientSupportsRoots = true;
+ try {
+ const response = await server.listRoots();
+ if (response && 'roots' in response) {
+ currentRoots = response.roots;
+
+ await server.sendLoggingMessage({
+ level: "info",
+ logger: "everything-server",
+ data: `Initial roots received: ${currentRoots.length} root(s) from client`,
+ }, sessionId);
+ } else {
+ await server.sendLoggingMessage({
+ level: "warning",
+ logger: "everything-server",
+ data: "Client returned no roots set",
+ }, sessionId);
+ }
+ } catch (error) {
+ await server.sendLoggingMessage({
+ level: "error",
+ logger: "everything-server",
+ data: `Failed to request initial roots from client: ${error instanceof Error ? error.message : String(error)}`,
+ }, sessionId);
+ }
+ } else {
+ await server.sendLoggingMessage({
+ level: "info",
+ logger: "everything-server",
+ data: "Client does not support MCP roots protocol",
+ }, sessionId);
+ }
+ };
+
const cleanup = async () => {
if (subsUpdateInterval) clearInterval(subsUpdateInterval);
if (logsUpdateInterval) clearInterval(logsUpdateInterval);
diff --git a/src/everything/package.json b/src/everything/package.json
index 55777ac7..e388922d 100644
--- a/src/everything/package.json
+++ b/src/everything/package.json
@@ -22,12 +22,14 @@
"start:streamableHttp": "node dist/streamableHttp.js"
},
"dependencies": {
- "@modelcontextprotocol/sdk": "^1.12.0",
+ "@modelcontextprotocol/sdk": "^1.18.0",
+ "cors": "^2.8.5",
"express": "^4.21.1",
"zod": "^3.23.8",
"zod-to-json-schema": "^3.23.5"
},
"devDependencies": {
+ "@types/cors": "^2.8.19",
"@types/express": "^5.0.0",
"shx": "^0.3.4",
"typescript": "^5.6.2"
diff --git a/src/everything/sse.ts b/src/everything/sse.ts
index f414e02f..f5b984e9 100644
--- a/src/everything/sse.ts
+++ b/src/everything/sse.ts
@@ -1,11 +1,17 @@
import { SSEServerTransport } from "@modelcontextprotocol/sdk/server/sse.js";
import express from "express";
import { createServer } from "./everything.js";
+import cors from 'cors';
console.error('Starting SSE server...');
const app = express();
-
+app.use(cors({
+ "origin": "*", // use "*" with caution in production
+ "methods": "GET,POST",
+ "preflightContinue": false,
+ "optionsSuccessStatus": 204,
+})); // Enable CORS for all routes so Inspector can connect
const transports: Map = new Map();
app.get("/sse", async (req, res) => {
@@ -26,7 +32,7 @@ app.get("/sse", async (req, res) => {
console.error("Client Connected: ", transport.sessionId);
// Start notification intervals after client connects
- startNotificationIntervals();
+ startNotificationIntervals(transport.sessionId);
// Handle close of connection
server.onclose = async () => {
diff --git a/src/everything/stdio.ts b/src/everything/stdio.ts
index a98fbc53..e443a983 100644
--- a/src/everything/stdio.ts
+++ b/src/everything/stdio.ts
@@ -6,17 +6,18 @@ import { createServer } from "./everything.js";
console.error('Starting default (STDIO) server...');
async function main() {
- const transport = new StdioServerTransport();
- const {server, cleanup} = createServer();
+ const transport = new StdioServerTransport();
+ const {server, cleanup, startNotificationIntervals} = createServer();
- await server.connect(transport);
+ await server.connect(transport);
+ startNotificationIntervals();
- // Cleanup on exit
- process.on("SIGINT", async () => {
- await cleanup();
- await server.close();
- process.exit(0);
- });
+ // Cleanup on exit
+ process.on("SIGINT", async () => {
+ await cleanup();
+ await server.close();
+ process.exit(0);
+ });
}
main().catch((error) => {
diff --git a/src/everything/streamableHttp.ts b/src/everything/streamableHttp.ts
index f748fd2a..c5d0eeea 100644
--- a/src/everything/streamableHttp.ts
+++ b/src/everything/streamableHttp.ts
@@ -3,10 +3,22 @@ import { InMemoryEventStore } from '@modelcontextprotocol/sdk/examples/shared/in
import express, { Request, Response } from "express";
import { createServer } from "./everything.js";
import { randomUUID } from 'node:crypto';
+import cors from 'cors';
console.error('Starting Streamable HTTP server...');
const app = express();
+app.use(cors({
+ "origin": "*", // use "*" with caution in production
+ "methods": "GET,POST,DELETE",
+ "preflightContinue": false,
+ "optionsSuccessStatus": 204,
+ "exposedHeaders": [
+ 'mcp-session-id',
+ 'last-event-id',
+ 'mcp-protocol-version'
+ ]
+})); // Enable CORS for all routes so Inspector can connect
const transports: Map = new Map();
@@ -15,6 +27,7 @@ app.post('/mcp', async (req: Request, res: Response) => {
try {
// Check for existing session ID
const sessionId = req.headers['mcp-session-id'] as string | undefined;
+
let transport: StreamableHTTPServerTransport;
if (sessionId && transports.has(sessionId)) {
@@ -22,7 +35,7 @@ app.post('/mcp', async (req: Request, res: Response) => {
transport = transports.get(sessionId)!;
} else if (!sessionId) {
- const { server, cleanup } = createServer();
+ const { server, cleanup, startNotificationIntervals } = createServer();
// New initialization request
const eventStore = new InMemoryEventStore();
@@ -53,7 +66,11 @@ app.post('/mcp', async (req: Request, res: Response) => {
await server.connect(transport);
await transport.handleRequest(req, res);
- return; // Already handled
+
+ // Wait until initialize is complete and transport will have a sessionId
+ startNotificationIntervals(transport.sessionId);
+
+ return; // Already handled
} else {
// Invalid request - no session ID or not initialization request
res.status(400).json({
diff --git a/src/filesystem/README.md b/src/filesystem/README.md
index 3a5dfc82..a430ce1c 100644
--- a/src/filesystem/README.md
+++ b/src/filesystem/README.md
@@ -136,15 +136,6 @@ The server's directory access control follows this flow:
- Returns detailed listing with file sizes and summary statistics
- Shows total files, directories, and combined size
-- **directory_tree**
- - Get a recursive tree view of files and directories as a JSON structure
- - Input: `path` (string): Starting directory path
- - Returns JSON structure with:
- - `name`: File/directory name
- - `type`: "file" or "directory"
- - `children`: Array of child entries (for directories only)
- - Output is formatted with 2-space indentation for readability
-
- **move_file**
- Move or rename files and directories
- Inputs:
@@ -173,6 +164,7 @@ The server's directory access control follows this flow:
- `children` (array): Present only for directories
- Empty array for empty directories
- Omitted for files
+ - Output is formatted with 2-space indentation for readability
- **get_file_info**
- Get detailed file/directory metadata
diff --git a/src/memory/index.ts b/src/memory/index.ts
index 4590a1db..982c617b 100644
--- a/src/memory/index.ts
+++ b/src/memory/index.ts
@@ -60,8 +60,18 @@ class KnowledgeGraphManager {
private async saveGraph(graph: KnowledgeGraph): Promise {
const lines = [
- ...graph.entities.map(e => JSON.stringify({ type: "entity", ...e })),
- ...graph.relations.map(r => JSON.stringify({ type: "relation", ...r })),
+ ...graph.entities.map(e => JSON.stringify({
+ type: "entity",
+ name: e.name,
+ entityType: e.entityType,
+ observations: e.observations
+ })),
+ ...graph.relations.map(r => JSON.stringify({
+ type: "relation",
+ from: r.from,
+ to: r.to,
+ relationType: r.relationType
+ })),
];
await fs.writeFile(MEMORY_FILE_PATH, lines.join("\n"));
}
@@ -219,10 +229,12 @@ server.setRequestHandler(ListToolsRequestSchema, async () => {
},
},
required: ["name", "entityType", "observations"],
+ additionalProperties: false,
},
},
},
required: ["entities"],
+ additionalProperties: false,
},
},
{
@@ -241,10 +253,12 @@ server.setRequestHandler(ListToolsRequestSchema, async () => {
relationType: { type: "string", description: "The type of the relation" },
},
required: ["from", "to", "relationType"],
+ additionalProperties: false,
},
},
},
required: ["relations"],
+ additionalProperties: false,
},
},
{
@@ -266,10 +280,12 @@ server.setRequestHandler(ListToolsRequestSchema, async () => {
},
},
required: ["entityName", "contents"],
+ additionalProperties: false,
},
},
},
required: ["observations"],
+ additionalProperties: false,
},
},
{
@@ -285,6 +301,7 @@ server.setRequestHandler(ListToolsRequestSchema, async () => {
},
},
required: ["entityNames"],
+ additionalProperties: false,
},
},
{
@@ -306,10 +323,12 @@ server.setRequestHandler(ListToolsRequestSchema, async () => {
},
},
required: ["entityName", "observations"],
+ additionalProperties: false,
},
},
},
required: ["deletions"],
+ additionalProperties: false,
},
},
{
@@ -328,11 +347,13 @@ server.setRequestHandler(ListToolsRequestSchema, async () => {
relationType: { type: "string", description: "The type of the relation" },
},
required: ["from", "to", "relationType"],
+ additionalProperties: false,
},
description: "An array of relations to delete"
},
},
required: ["relations"],
+ additionalProperties: false,
},
},
{
@@ -341,6 +362,7 @@ server.setRequestHandler(ListToolsRequestSchema, async () => {
inputSchema: {
type: "object",
properties: {},
+ additionalProperties: false,
},
},
{
@@ -352,6 +374,7 @@ server.setRequestHandler(ListToolsRequestSchema, async () => {
query: { type: "string", description: "The search query to match against entity names, types, and observation content" },
},
required: ["query"],
+ additionalProperties: false,
},
},
{
@@ -367,6 +390,7 @@ server.setRequestHandler(ListToolsRequestSchema, async () => {
},
},
required: ["names"],
+ additionalProperties: false,
},
},
],
diff --git a/src/sequentialthinking/index.ts b/src/sequentialthinking/index.ts
index bd486fdb..34986971 100644
--- a/src/sequentialthinking/index.ts
+++ b/src/sequentialthinking/index.ts
@@ -206,12 +206,12 @@ You should:
},
thoughtNumber: {
type: "integer",
- description: "Current thought number",
+ description: "Current thought number (numeric value, e.g., 1, 2, 3)",
minimum: 1
},
totalThoughts: {
type: "integer",
- description: "Estimated total thoughts needed",
+ description: "Estimated total thoughts needed (numeric value, e.g., 5, 10)",
minimum: 1
},
isRevision: {