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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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  • Developer Tools96
  • Communication14
  • Productivity8
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  • Search & Knowledge2

AI clients

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  • mcp-sse-proxy

    3

    MCP2SSE Proxy ClaudeAI client

    Python
  • digital-marketing-pro

    3

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

    Python
  • substack-publisher-mcp

    3

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

    JavaScript
  • vibe-schooling

    2

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

    JavaScript
  • rustchain-mcp

    2

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

    Python
  • asya-chat-ui

    2

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

    Python
  • claude-agents-forge

    2

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

  • 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
  • Food-Recipe-MCP

    2

    A production-grade semantic search server for food recipes — built for AI agents using the Model Context Protocol (MCP). Search across 50,000+ recipes with hybrid dense + sparse retrieval and cross-encoder reranking.

    HTML
  • 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
  • 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
  • rss-feeds-mcp

    2

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

    JavaScript
  • memory-mcp

    2

    Store persistent project memory for AI agents and MCP clients so they can resume work with context, decisions, and tasks intact

    Python
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