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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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  • mcp-gateway

    1

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

    TypeScript
  • 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
  • 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
  • token-saver

    1

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

  • 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
  • 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
  • rest-gateway-1771917206-3

    0

    Provide a RESTful API gateway that manages authentication and controls request rates for secure and efficient service access.

  • ai-agent-handbook

    0

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

  • planwiki-app

    0

    Turn PRDs into Linear issues and Trello boards with AI, then export tasks, phases, and checklists in one click

    TypeScript
  • mcp-bundle

    0

    Generate MCPB packages from MCP server projects using a Claude Code plugin and GitHub Actions workflow for streamlined server packaging.

    Shell
  • gemini-mac-pilot

    0

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

    Python
  • mcp-foundry

    0

    Connect AI agents to financial markets using a universal trading interface with an open standard for seamless integration.

    Python
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