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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
  • Communication14
  • Productivity8
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AI clients

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  • 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

  • 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

  • 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

  • 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

  • GeminiOS

    1

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

    TypeScript

  • n2-QLN

    1

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

    TypeScript

  • OmniXy

    1

    OmniXy is a universal Model Context Protocol client in Python, enabling seamless integration with any LLM. It supports structured reasoning, robust prompt management, and adheres to the MCP specification for consistency.

    Python

  • claude-content-engine

    1

    Build Claude Code content workflows with 8 skills, persistent memory, and a quality gate for cleaner drafts and better SEO.

    Python

  • mcp-gateway

    1

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

    TypeScript

  • awesome-claude-md

    1

    Discover CLAUDE.md best practices for project-specific AI coding guidance, with ready-to-use templates for languages, frameworks, and real-world cases

  • devtap

    1

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

    Go

  • claude-compaction-viewer

    1

    View and analyze Claude Code conversation history and compaction events with a TUI and CLI tool for clear session insights.

    Python

  • ollama2api

    1

    Aggregate multiple Ollama instances into a unified OpenAI-compatible API with load balancing, health checks, auto discovery, and web management.

    Python

  • colign

    1

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

    TypeScript

  • token-saver

    1

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

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