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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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  • awesome-claude-md

    2

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

  • 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
  • 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
  • git-mcp-rs

    2

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

    Rust
  • rustchain-mcp

    2

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

    Python
  • bambu-printer-mcp

    2

    Control Bambu Lab printers, edit STL files, and manage 3MF print workflows with an MCP server for Claude and other MCP clients

    TypeScript
  • colign

    2

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

    TypeScript
  • gemini-embedding-2-mcp-server

    2

    Build a local MCP server that turns files, images, and video into fast spatial search for AI agents using Gemini embeddings and ChromaDB

    Python
  • agent-devtools

    2

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

    Python
  • copilot-memory-store

    2

    🗄️ Store and manage local JSON data for context engineering with GitHub Copilot and MCP clients efficiently.

    TypeScript
  • meshy-3d-agent

    2

    Build Meshy 3D agent skills to generate, texture, rig, animate, and prep 3D models for print without an MCP server

  • GeminiOS

    2

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

    TypeScript
  • claude-agents-forge

    2

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

  • ai-mcp-server-client-fastmcp

    2

    MCP (Model Context Protocol) server and client using FastMCP and LangChain

    Python
  • asya-chat-ui

    2

    Build multi-organization LLM chat platforms with model routing, tool execution, usage analytics, and OpenAI-compatible APIs.

    Python
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