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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.

5,983 servers. Last updated -

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    A MCP Server used to collect MCP Servers over the internet.
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    This server is a server that installs other MCP servers for you. Install it, and you can ask Claude to install MCP servers hosted in npm or PyPi for you. Requires npx and uv to be installed for node and Python servers respectively.
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    An MCP server that allows searching for and retrieving information about Model Context Protocol servers registered on the MCP Hub.
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    A beginner-friendly Model Context Protocol (MCP) server that helps users understand MCP concepts, provides interactive examples, and lists available MCP servers. This server is designed to be a helpful companion for developers working with MCP. Also comes with a huge list of servers you can install.
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    Apache 2.0
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    A specialized MCP server that helps analyze and debug Model Context Protocol logs by providing Claude with direct access to log files across multiple platforms.
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    A tool that dynamically generates and configures MCP servers by automatically creating necessary directories and files according to user specifications.
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    MIT License

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    A Model Context Protocol (MCP) server that connects GraphDB's SPARQL endpoints and Ollama models to Claude, enabling Claude to query and manipulate ontology data while leveraging various AI models.
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    A systematic reasoning MCP server implementation for Claude Desktop with beam search and thought evaluation capabilities
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    A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.
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    MIT License
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    A Model Context Protocol server that enables AI agents to interact with Alibaba Cloud DataWorks through standardized interfaces, allowing seamless management of DataWorks resources and operations via the DataWorks Open API.
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    A Model Context Protocol server that enables AI assistants to search the web using Bocha AI's search API, supporting features like time filtering, domain inclusion/exclusion, and summarized results.
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    Stop Package Chaos: Unveil Your Mac’s Setup for Targeted ML Debugging
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    An MCP server that enables Claude and other LLM clients to access Hanzo AI platform capabilities and provide powerful code management tools for analyzing, modifying, and understanding projects.
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    Integrates Dify AI API to provide code generation for Ant Design components, supporting both text and image inputs with stream processing capabilities.
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    A simple template for creating custom tools for Cursor IDE using Model Context Protocol, deployable via Heroku, Docker, or directly within Cursor IDE.
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    A template for creating Model Context Protocol (MCP) servers in TypeScript, offering features like container-based dependency injection, a service-based architecture, and integration with the LLM CLI for architectural design feedback through natural language.
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    Fetches up-to-date, version-specific documentation and code examples from the source and adds them to your LLM prompts, helping eliminate outdated code generations and hallucinated APIs.
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    MCP server to provide Jira Tickets information to AI coding agents like Cursor
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    An MCP server that provides semantic search over local git repositories, enabling users to clone repositories, process branches, and search code through vectorized code chunks.
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    An MCP server that provides an interface for querying the AtherOS knowledge base through an API, allowing users to create chat sessions and send queries to retrieve information.
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    A dynamic service that creates and manages Model Context Protocol (MCP) servers, allowing users to spawn, customize, and control multiple MCP servers as child processes.
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    Provides tools for collecting and documenting code from directories.
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    Memory Bank Server provides a set of tools and resources for AI assistants to interact with Memory Banks. Memory Banks are structured repositories of information that help maintain context and track progress across multiple sessions.
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    An interface that allows large language models like Claude to interact with ActivityWatch time tracking data through the Model Context Protocol, enabling queries about application usage, browsing history, and productivity patterns.
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    An MCP server that provides a comprehensive interface to Semgrep, enabling users to scan code for security vulnerabilities, create custom rules, and analyze scan results through the Model Context Protocol.
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    A Model Context Protocol server that provides Google Maps API integration, allowing users to search locations, get place details, geocode addresses, calculate distances, obtain directions, and retrieve elevation data through LLM processing capabilities.
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    Provides intelligent context management for AI development sessions, allowing users to track token usage, manage conversation context, and seamlessly restore context when reaching token limits.
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    Apache 2.0
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    Provides code context and analysis for AI assistants by extracting directory structures and code symbols using WebAssembly Tree-sitter parsers with zero native dependencies.
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    A Model Context Protocol server that enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.
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