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Open-Source MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

9,443 servers. Last updated -

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Matching MCP servers:

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    Advanced Model Context Protocol server that integrates Gemini AI with Tailwind CSS, providing intelligent component generation, class optimization, and cross-platform design assistance across major development environments.
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    A full-stack template for building Model Context Protocol servers that expose tools and workflows to AI agents while also serving a web interface built with React and Tailwind CSS.
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    This server integrates with Mozilla Developer Network (MDN) documentation to suggest CSS properties, check browser support, and provide implementation guidance with user consent mechanisms.
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    Converts Figma designs into React components with TypeScript and Tailwind CSS by extracting components from Figma files and transforming them into ready-to-use code.
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    A smart documentation server that provides AI-assisted code improvement and documentation management through Claude Desktop integration.
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    Enables access to OpenTelemetry documentation by fetching and converting pages to markdown format and searching content using Google Custom Search. Provides comprehensive documentation lookup and search capabilities for OpenTelemetry concepts, instrumentation, and configuration.
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    Apache 2.0

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    Provides tools to access AWS documentation, search for content, and get recommendations for both global and China AWS regions.
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    A server that enables Claude to search and access documentation from popular libraries like LangChain, LlamaIndex, and OpenAI directly within conversations.
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    A Model Context Protocol server that enables intelligent searching across documentation for 30+ programming libraries and frameworks, fetching relevant information from official sources.
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    • Apple
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    Provides comprehensive access to MoEngage documentation from developers, help, and partners portals with full-text search, automatic updates, and intelligent filtering by platform, category, and source.
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    Enables comprehensive color manipulation, conversion between 22+ formats (HEX, RGB, HSL, CMYK, LAB, etc.), palette generation, gradient creation, and accessibility compliance checking. Supports framework-specific outputs for CSS, Swift, Android, Flutter, and Tailwind with high-precision conversions and visualization capabilities.
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    Enables comprehensive UI/UX development workflows through integrated tools for component development with Storybook, Tailwind CSS styling, Framer Motion/GSAP animations, Playwright testing, and automated design system generation. Provides end-to-end automation for visual regression testing, accessibility compliance, and UX optimization analysis.
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    Provides programmatic access to GameMaker Language (GML) documentation through MCP tools for function lookup, documentation search, and comprehensive coding guidance. Includes built-in GameMaker documentation with no additional setup required.
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    An MCP server that enables AI assistants to access up-to-date documentation for Python libraries like LangChain, LlamaIndex, and OpenAI through dynamic fetching from official sources.
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    Enables users to access, search, and get recommendations from AWS documentation through natural language queries. Supports both global AWS documentation and AWS China documentation with tools to fetch pages, search content, and discover related resources.
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    Provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.
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    MIT License
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    Provides offline access to SAP documentation and real-time SAP Community content, integrating official documentation with community-driven solutions for comprehensive developer support.
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    A server that provides access to Mathematica documentation through FastMCP, enabling users to retrieve function documentation and list package symbols from Wolfram Mathematica.
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    Enables AI assistants to enhance their responses with relevant documentation through a semantic vector search, offering tools for managing and processing documentation efficiently.
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    Provides semantic search capabilities over PyTorch documentation, enabling users to find relevant documentation, APIs, code examples, and error messages through Claude Code integration.
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    A customized MCP server that enables integration between LLM applications and documentation sources, providing AI-assisted access to LangGraph and Model Context Protocol documentation.
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    Toolset that crawls websites, generates Markdown documentation, and makes that documentation searchable via a Model Context Protocol (MCP) server for integration with tools like Cursor.
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    Enables AI agents to intelligently search and retrieve Roblox documentation through semantic search and vector embeddings, providing natural language access to complete Roblox Creator Documentation.
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    An Agent Framework Documentation server that enables AI agents to efficiently retrieve information from documentation databases using hybrid semantic and keyword search for seamless agent integration.
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    A Model Context Protocol implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.
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    Provides access to Backbone.js documentation chapters as readable resources and enables full-text search across all chapters. Users can browse documentation content and search for specific topics within the Backbone.js framework materials.
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    Provides AI systems with access to Onyx programming language documentation through web crawling and intelligent search capabilities.
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    Provides AI assistants with access to Payman's documentation, helping developers build integrations more efficiently through enhanced contextual support.
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    Provides AI assistants like Claude or Cursor with access to Payman AI's documentation, helping developers build integrations more efficiently.
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    Enables AI assistants to search for documentation of packages and services, providing implementation details, examples, and specifications through a specialized API.
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