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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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  • AI346
  • Developer Tools92
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AI clients

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  • devtap

    1

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

    Go

  • mcp-server

    1

    ADP MCP Server — Model Context Protocol server for AI assistant integration (read-only split from app-dev-panel/app-dev-panel)

    PHP

  • git-mcp-rs

    1

    🔍 Enable real-time exploration of GitHub repositories with this high-performance Model Context Protocol (MCP) server built in Rust.

    Rust

  • binary-ninja-headless-mcp

    1

    Enable headless Binary Ninja reverse engineering via MCP for AI agents to perform deep analysis, patching, and type management without a GUI.

    Python

  • substack-publisher-mcp

    1

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

    JavaScript

  • ai-support-chat

    1

    🤖 Enhance customer support with an AI chat platform that delivers intelligent, context-aware responses through a seamless full-stack solution.

    JavaScript

  • ai-orchestrator

    1

    Manage and coordinate multiple AI CLI instances with real-time monitoring, hierarchical control, and multi-agent verification for large-scale automation.

    TypeScript

  • digital-marketing-pro

    1

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

    Python

  • gemini_mcp

    1

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

    Python

  • rustchain-mcp

    1

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

    Python

  • agent-devtools

    1

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

    Python

  • cua_desktop_operator_skill

    1

    Deliver a local, Windows-based execution layer for MCP-capable agents with zero cloud dependency and broad agent support.

    Python

  • colign

    1

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

    TypeScript

  • n2-QLN

    1

    Route semantic tool requests through one MCP router to simplify AI access to 1,000+ tools in n2-qln

    TypeScript

  • mcp-gateway

    1

    Manage and debug local Model Context Protocol servers with an easy desktop app that auto-discovers and monitors MCP instances.

    TypeScript
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