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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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Browse and discover Model Context Protocol compatible clients.

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  • agent-architect

    0

    Build multi-microservice systems with AI coding tools using folders, markdown, and no custom tooling.

    Shell
  • v0-platform-mcp

    0

    Enable rapid multi-screen UI prototyping and incremental development using Vercel’s Model Context Protocol with v0-platform-mcp.

    TypeScript
  • Generative-UI-MCP

    0

    Build interactive charts, diagrams, mockups, and widgets with an MCP server for on-demand UI generation guidelines

    TypeScript
  • adaptive-cards-mcp

    0

    Build Adaptive Cards with MCP tools for fast, structured UI creation in TypeScript

    TypeScript
  • mcp-security-checklist

    0

    Provide a clear, practical security checklist for teams building and deploying Model Context Protocol servers and AI agent infrastructure.

  • claude-telegram-supercharged

    0

    Supercharge Claude Code in Telegram with a smarter plugin for stronger chat control, better workflow, and more useful tools

  • drift

    0

    Detect architecture drift in AI-assisted codebases with deterministic checks and clear signals

    Python
  • databse-MCP

    0

    A quick MCP server to give AI access to a database

    Python
  • codeguide-mcp

    0

    MCP server to ensure code best practices for various programming languages and use cases

    Python
  • apple-mail

    0

    Control macOS Mail.app with AI to triage inboxes, draft replies, search, move, delete, and label email using natural language

    Python
  • hooklaw

    0

    Enable AI agents to process webhooks and RSS feeds using native MCP tools for streamlined, event-driven automation and data handling.

    TypeScript
  • unloop-mcp

    0

    Stop AI fix loops with an MCP server that detects stuck coding assistants and forces a new approach

  • gemini-embedding-2-mcp-server

    0

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

    Python
  • ai-agent-handbook

    0

    Explore 30+ AI agent frameworks to learn patterns, architectures, and source-backed implementation details for building better agents

  • GeminiOS

    0

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

    TypeScript
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