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Model Context Protocol Directory

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

Documentation

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AI servers

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  • Fused-Gaming-Skill-MCP

    1

    An easily managed NPM MCP Server with modular skills for claude.

    TypeScript

  • modelcontextprotocol-go-sdk

    1

    This repository provides a Go SDK for the Model Context Protocol (MCP), enabling developers to build MCP clients and servers for integrating with LLM surfaces using standardized context provision.

  • websocket_mcp

    1

    This repository offers a WebSocket-based Model Context Protocol (MCP) server and client implementation, including a local LLM chat bot demo, designed to improve upon existing MCP transport layers for efficient communication.

    Python

  • tlbrain

    1

    MCP-based memory layer for Claude Cowork integrating TL;DV transcripts (Google Drive) with RAG-ready retrieval.

  • llmfs

    1

    Store and retrieve persistent filesystem memory for LLMs and AI agents with structured, searchable context beyond token limits

    Python

  • fingertip-mcp

    1

    The @fingertip/mcp repository provides a Model Context Protocol server for the Fingertip API, enabling AI assistants to manage Fingertip sites, retrieve site information, and create new sites. The @fingertip/mcp repository

    TypeScript

  • MCPGateway

    1

    Unify local AITool instances and remote MCP servers into a single, searchable execution surface with a .NET 10 library.

    C#

  • karellen-rr-mcp

    1

    Provide an MCP server to enable reverse debugging with rr, improving control and insight during program execution analysis.

  • mcp-scan-action

    1

    Scan MCP servers, AI agents, and LLM pipelines for security vulnerabilities and send results directly to your GitHub Security tab.

    Python

  • sample-mcp-server-tos

    1

    This repository provides an MCP server implementation for retrieving data from Volcengine TOS, exposing data through Resources like PDF documents. It offers tools for listing buckets/objects and retrieving objects, requiring

    Python

  • Ollqd

    1

    📚 Index codebases and docs into Qdrant with Ollama embeddings, enabling AI assistants to search code via Model Context Protocol (MCP).

    Python

  • clov-ai

    1

    Manage and filter AI context and outputs locally using Rust-powered tools for precise control and improved response quality.

    Rust

  • duphunter

    1

    Detect near-duplicate Python code using AST analysis to find structural clones despite renaming, supporting efficient AI-assisted refactoring workflows.

    Python

  • bingo-light

    1

    AI-native fork maintenance. Keep your patches, stay in sync with upstream.

    Python

  • mcp-mux

    1

    Transparent stdio multiplexer for MCP servers — share one upstream across multiple Claude Code sessions

    Go
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