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The Model Context Protocol (MCP) is an open standard for AI model communication.
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AI servers

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  • llm-functions

    775

    This repository enables building LLM tools and agents using Bash, JavaScript, and Python, leveraging function calling to connect LLMs to custom code for tasks like system commands and API interactions.

    Shell
  • just-prompt

    738

    just-prompt is an MCP server that provides a unified interface to top LLM providers (OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama)

    Python
  • wren-engine

    663

    Wren Engine is a semantic engine designed for MCP clients and AI agents, enabling accurate data understanding and retrieval within complex enterprise environments, including trusted calculations and reporting.

    Java
  • evo-ai

    613

    Evo AI is an open-source platform for creating and managing AI agents, enabling integration with different AI models and services.

    TypeScript
  • mcp-youtube

    547

    This repository uses yt-dlp to download YouTube subtitles and connects them to claude.ai via the Model Context Protocol, allowing Claude to summarize YouTube videos when prompted with the video URL.

    JavaScript
  • mcp-server-data-exploration

    544

    MCP Server is a tool for interactive data exploration, acting as a personal data scientist assistant. It turns datasets into actionable insights, allowing users to explore data with specified topics

    Python
  • docfork-mcp

    488

    @latest docs for 9000+ libraries in your AI code editor, with a single MCP.

    JavaScript
  • mcpadapt

    426

    MCPAdapt unlocks access to 650+ Model Context Protocol (MCP) servers for agentic frameworks, enabling seamless integration of diverse data and tools into workflows. It supports frameworks like Langchain, CrewAI, and Smolagents.

    Python
  • mcp-reddit

    425

    This repository hosts an MCP server designed to fetch and analyze Reddit content, including hot threads and detailed post information from various subreddits. This repository hosts an MCP server designed

    Python
  • mcp-graphql

    407

    The mcp-graphql repository provides a Model Context Protocol server that enables LLMs to interact with GraphQL APIs by offering schema introspection and query execution capabilities, facilitating dynamic API usage.

    TypeScript
  • mcp-server

    395

    This repository hosts the E2B MCP server, enabling code interpreting capabilities for the Claude Desktop app through the E2B Sandbox, available in JavaScript and Python editions. This repository hosts the

    JavaScript
  • mcp-hfspace

    388

    This repository provides an MCP server that connects Claude Desktop to Hugging Face Spaces, enabling functionalities like image generation with minimal setup by specifying desired spaces and a working directory.

    TypeScript
  • hermes-mcp

    370

    Elixir Model Context Protocol (MCP) SDK

    Elixir
  • MemoryMesh

    353

    MemoryMesh is a knowledge graph server for AI models, ideal for text-based RPGs and interactive storytelling, helping AI maintain consistent, structured memory across conversations for richer interactions. MemoryMesh is a

    TypeScript
  • deepseek-mcp-server

    352

    The DeepSeek MCP Server enables anonymous use of the DeepSeek API with MCP-compatible applications like Claude Desktop, acting as a proxy and integrating seamlessly with a simple configuration.

    JavaScript
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