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MCP Directory

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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MCP Clients

Browse and discover Model Context Protocol compatible clients.

Documentation

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AI clients

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  • mcp-sse-proxy

    3

    MCP2SSE Proxy ClaudeAI client

    Python
  • bambu-printer-mcp

    2

    Control Bambu Lab printers, edit STL files, and manage 3MF print workflows with an MCP server for Claude and other MCP clients

    TypeScript
  • mcp-omnifocus

    2

    MCP server for connecting to OmniFocus, a MacOS based GTD and task management application. Written with Cline+ClaudeAI, not polished yet, but works on my machine.

    TypeScript
  • mcpx

    2

    🧳 Simplify token usage with MCPX, an efficient MCP client for LLMs and developers, providing clear TypeScript signatures and easy tool calls.

    TypeScript
  • Dream-Chronicles

    2

    Dream Chronicles is an AI-powered app that interprets dreams by transforming user descriptions into insightful text and audio results. It utilizes Anthropic Claude 3.5 for dream analysis and Google Te

    Python
  • mcp-verified-repo-memory

    2

    Provide reliable, repository-scoped memory for AI coding agents with code citations, just-in-time verification, and stale-proof data management.

    TypeScript
  • PerformanceStudio

    2

    Analyze SQL Server execution plans across platforms with automated insights, missing index suggestions, and a built-in AI-assisted MCP server.

    C#
  • digital-marketing-pro

    2

    📈 Streamline digital marketing with tools for SEO, automation, content publishing, CRM sync, and multi-client agency management.

    Python
  • ai-mcp-server-client-fastmcp

    2

    MCP (Model Context Protocol) server and client using FastMCP and LangChain

    Python
  • substack-publisher-mcp

    2

    Provide stable access to Substack data by connecting MCP clients to the official Publisher API for post analytics and subscriber info.

    JavaScript
  • asya-chat-ui

    2

    Build multi-organization LLM chat platforms with model routing, tool execution, usage analytics, and OpenAI-compatible APIs.

    Python
  • gemini_mcp

    2

    Bridge MCP clients to Gemini CLI using ACP protocol for efficient, seamless integration of AI tools with Google API services.

    Python
  • fastestmcp

    2

    🚀 Generate production-ready MCP servers and clients in seconds with FastestMCP, ensuring efficiency and speed for your projects.

    Python
  • devtap

    1

    🚀 Streamline build and dev output by feeding logs directly into AI coding sessions using Model Context Protocol for seamless automation.

    Go
  • OmniXy

    1

    OmniXy is a universal Model Context Protocol client in Python, enabling seamless integration with any LLM. It supports structured reasoning, robust prompt management, and adheres to the MCP specification for consistency.

    Python
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