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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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  • claude-agents-forge

    2

    Build and run production-ready Claude Code agents with full agent specs, including turn limits, permissions, memory, and tool orchestration.

  • email-design-mcp

    2

    Generate responsive, professional email templates using AI with brand memory, expert design, live preview, and easy editing in MCP-compatible clients.

    TypeScript
  • colign

    2

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

    TypeScript
  • memory-mcp

    2

    Store persistent project memory for AI agents and MCP clients so they can resume work with context, decisions, and tasks intact

    Python
  • ai-agent-handbook

    2

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

  • nse-bse-mcp

    2

    Serve real-time and historical Indian stock data from NSE and BSE using Model Context Protocol for easy market analysis without API keys.

    Python
  • mcp-verified-repo-memory

    2

    Provide reliable, repository-scoped memory for AI coding agents with code citations, just-in-time verification, and stale-proof data management.

    TypeScript
  • gemini-mac-pilot

    1

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

    Python
  • cursor-browser-bridge

    1

    🌐 Control Cursor IDE's browser remotely via Claude Code using Model Context Protocol for seamless web automation and interaction.

    JavaScript
  • pico-mcp

    1

    MCP client for use by picoclaw and other crustaceans

    Go
  • youtube-mcp

    1

    A FastAPI-based MCP server that provides YouTube video metadata and transcripts as a tool for Cursor and other MCP-compatible clients. Fetches title, description, author, publish date, view count, tag

    Python
  • devtap

    1

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

    Go
  • ollama2api

    1

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

    Python
  • 0nMCP

    1

    🤖 Orchestrate AI across apps with a universal API that simplifies integration and automates tasks using Model Context Protocol (MCP) compatibility.

    JavaScript
  • 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
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