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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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  • AI425
  • Developer Tools96
  • Communication14
  • Productivity8
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  • youtube-mcp

    1

    A FastAPI-based MCP server that provides YouTube video metadata and transcripts as a tool for Cursor and other MCP-compatible clients. Fetches title, description, author, publish date, view count, tag

    Python
  • web-content-fetcher

    1

    Extract and convert web pages into clean Markdown, preserving structure and media, with automatic mode selection and zero setup required.

    Python
  • mcp-encrypted-sqlite

    1

    🔒 Access and manage encrypted SQLite databases effortlessly with this MCP server, designed for seamless integration with SQLCipher and various clients.

  • hello-world-mcp

    1

    Simple MCP server that returns "Hello World!" message. Easy to set up with any MCP-compatible AI client. 🌍💻

    JavaScript
  • qclaw-wechat-client

    1

    Provide a TypeScript client that reverse-engineers QClaw's WeChat OAuth2 login and jprx gateway protocol for seamless Tencent API access.

    TypeScript
  • valjs

    1

    an mcp server for a valtown wrapper (terrible description)

    TypeScript
  • mcp-server-github-actions

    1

    Control GitHub Actions workflows from your AI assistant to list runs, read logs, rerun jobs, cancel builds, and trigger deployments within your editor.

    TypeScript
  • lean-loop

    1

    Structure AI-assisted TDD with a plan-apply-unify loop for clearer tests, tighter context, and steady code progress

  • token-saver

    1

    Detect and reduce wasteful AI token usage by warning on large outputs, verbose logs, and repeated history in MCP-compatible clients.

  • integrations

    1

    MCP servers and integrations for Vaquill - CourtListener, CanLII, chatbots, Slack, Discord, WordPress bots, and more.

    Python
  • equip

    1

    Manage MCP server configs and behavioral rules across AI coding platforms with automatic detection and version control, requiring no dependencies.

    JavaScript
  • gemini-mac-pilot

    1

    Control your Mac with Gemini voice commands to manage apps, files, web, Gmail, Calendar, and Google Workspace tools

    Python
  • imessage-mcp

    1

    Explore and analyze your iMessage history locally with 26 tools powered by AI, fully compatible with the Model Context Protocol.

    TypeScript
  • tool-search-mcp

    1

    🛠️ Enhance search efficiency with Tool Search MCP, a client-side tool search service that dynamically loads relevant MCP tools for better performance.

    TypeScript
  • devtap

    1

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

    Go
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