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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.

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AI clients

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  • hello-world-mcp

    1

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

    JavaScript

  • 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

  • x402-gateway-template

    1

    Enable self-hosted APIs to accept USDC micropayments via the x402 protocol using HTTP 402 status for seamless crypto payment integration.

    JavaScript

  • 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

  • devtap

    1

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

    Go

  • equip

    1

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

    JavaScript

  • multi-agent-orchestrator

    1

    Orchestrate multi-agent workflows with LangGraph for Python 3.11+, with a lightweight, tested framework for routing tasks and agents

    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

  • create-agent-config

    1

    Generate configuration files for AI coding agents by detecting your stack and applying community rules for better session context.

    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

  • n2-QLN

    1

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

    TypeScript

  • hooklaw

    1

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

    TypeScript

  • ollama2api

    1

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

    Python

  • 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

  • google-suite-mcp

    1

    Google Workspace MCP server for Claude Desktop, Cursor, Windsurf, VS Code, Gemini CLI, and any MCP client. 82 tools across Sheets, Docs, Drive, and Apps Script. Full read/write. 30/30 live-API tests. MIT.

    TypeScript
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