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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.

10,766 servers. Last updated -

Matching MCP tools:

Matching MCP servers:

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    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
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    Apache 2.0
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    Enables autonomous learning from interactions through pattern recognition and machine learning techniques. Continuously improves performance by analyzing tool usage, providing predictive suggestions, and sharing knowledge across MCP servers.
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    A tool that creates MCP (Model Context Protocol) servers from OpenAPI/Swagger specifications, enabling AI assistants to interact with your APIs.
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    A Model Context Protocol server that converts Markdown content to HTML format.
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    This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.
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    An MCP server that generates comprehensive Learning Hour content for Technical Coaches, enabling teams to practice technical excellence through structured deliberate practice sessions.
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    Converts REST API code (like NestJS controllers or FastAPI endpoints) to Postman collections and environments, helping developers automatically sync their API endpoints with Postman.
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    An MCP server that converts Excel and Apple Numbers files to PDF format, enabling AI assistants like Claude to perform file conversion directly through conversation.
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    Allows Cursor AI to communicate with Figma for reading designs and modifying them programmatically through a Model Context Protocol integration.
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    Create videos and images using Luma AI, this MCP server handles all API functionality for Luma Dream Machine from Claude Desktop.
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    Enables Claude to use Google Gemini as a secondary AI through MCP for large-scale codebase analysis and complex reasoning tasks. Supports both Gemini Flash and Pro models with specialized functions for general queries and comprehensive code analysis.
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    Provides access to the Internet Archive Wayback Machine to list snapshots, fetch archived web pages, and search archive.org items. Enables retrieval of historical website content and metadata through natural language queries.
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    An MCP server integration that enables Cursor AI to communicate with Figma, allowing users to read designs and modify them programmatically through natural language commands.
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    An MCP server that converts Markdown to HTML, supporting both stdio and HTTP interfaces for easy integration with Cursor and other MCP clients.
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    Enables Cursor AI to interact with Figma designs, allowing users to read design information and programmatically modify elements through natural language commands.
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    Enables Claude Desktop and other AI tools to interact directly with Figma, allowing for powerful AI-assisted design capabilities through natural language commands.
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    Enables users to control the cursor in Figma through verbal commands using an agentic AI agent, streamlining the design process with a new interaction method.
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    A local agent that monitors your system clipboard, automatically uploads copied images to Supabase Storage, and replaces the clipboard content with the public URL for immediate sharing.
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    Enables Cursor AI to communicate with Figma for reading designs and modifying them programmatically, allowing users to automate design tasks through natural language.
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    Transforms SAP S/4HANA or ECC systems into conversational AI interfaces by exposing all OData services as dynamic MCP tools. Enables natural language interactions with ERP data including querying, creating, updating, and deleting entities through SAP BTP integration.
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    A comprehensive learning project providing hands-on experience with Model Context Protocol (MCP) server development, featuring calculator and text utility tools for integration with Claude Desktop.
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    A custom MCP server that provides AI applications with access to an Artificial Virtual Assistant (AVA) toolset, enabling Gmail integration and task management through natural language.
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    An MCP server implementation that allows AI assistants to access, search, and interact with Dev.to content, including fetching articles, retrieving user information, and publishing new content.
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    A tutorial MCP server for learning the Model Context Protocol by building file and system tools. Provides hands-on experience creating custom tools that enable AI models to interact with files and execute system commands.
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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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    Bridge the gap between design and code. Send pixel-perfect website components directly to Cursor or Claude Code using Model Context Protocol (MCP). No more screenshots or descriptions needed.
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    Translates Japanese text into English using the Textra API service, enabling LLMs with limited Japanese understanding to process Japanese instructions.
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    Converts Figma designs to React Native components, allowing users to extract components from Figma designs and generate corresponding React Native components with proper typing and styling.
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    Enables agents to convert text to speech using OpenAI's TTS models with voice selection, delivery instructions, and queue-based audio playback. Supports both blocking and non-blocking modes for flexible audio generation and playback control.
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    A secure database query service built on FastMCP framework that allows users to query MySQL databases using natural language, with comprehensive permission management and security controls.
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    A comprehensive tutorial project that teaches Model Context Protocol (MCP) development from beginner to advanced levels, covering both server-side and client-side development.
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