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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 clients.

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  • fastestmcp

    2

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

    Python
  • vibe-schooling

    2

    Expose how AI turns schoolwork into empty proof of learning and challenge the limits of AI in education

    JavaScript
  • 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
  • ai-mcp-server-client-fastmcp

    2

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

    Python
  • nse-bse-mcp

    2

    Serve real-time and historical Indian stock data from NSE and BSE using Model Context Protocol for easy market analysis without API keys.

    Python
  • asya-chat-ui

    2

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

    Python
  • 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
  • rss-feeds-mcp

    2

    Enable AI assistants to fetch, filter, and search RSS feeds instantly using a zero-configuration Model Context Protocol server.

    JavaScript
  • claude-agents-forge

    2

    Build and run production-ready Claude Code agents with full agent specs, including turn limits, permissions, memory, and tool orchestration.

  • rustchain-mcp

    2

    Provide AI agents with access to RustChain blockchain, BoTTube video platform, and Beacon communication via a Model Context Protocol server.

    Python
  • gemini-embedding-2-mcp-server

    2

    Build a local MCP server that turns files, images, and video into fast spatial search for AI agents using Gemini embeddings and ChromaDB

    Python
  • agent-devtools

    2

    Debug AI agents in real time with Chrome DevTools to pause, inspect, and step through execution for faster issue resolution and control.

    Python
  • copilot-memory-store

    2

    🗄️ Store and manage local JSON data for context engineering with GitHub Copilot and MCP clients efficiently.

    TypeScript
  • GeminiOS

    2

    Embed Google AI Studio in a desktop app and enable generated apps to interact securely with your local system through a JavaScript API.

    TypeScript
  • colign

    2

    Align teams on specs before AI writes code, so you review, plan, and build with less rework

    TypeScript
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