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The Model Context Protocol (MCP) is an open standard for AI model communication.
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Documentation

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AI servers

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  • agent-squad

    6883

    Flexible and powerful framework for managing multiple AI agents and handling complex conversations

    Python
  • xiaozhi-esp32-server

    6706

    ESP32 server backend. Enables quick setup of ESP32 device control.

    Python
  • code2prompt

    6513

    A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.

    MDX
  • git-mcp

    6230

    No description provided

    TypeScript
  • free-llm-api-resources

    5603

    A list of free LLM inference resources accessible via API.

    Python
  • shortest

    5303

    QA via natural language AI tests

    TypeScript
  • gaianet-node

    5000

    Install, run and deploy your own decentralized AI agent service

    Shell
  • agentops

    4891

    AI Agent monitoring & cost tracking SDK. Benchmarking, LLM integration (Langchain, OpenAI, CrewAI & more). AgentOps.

    Python
  • whatsapp-mcp

    4872

    WhatsApp MCP server

    Go
  • refly

    4666

    The world's first open-source "Vibe Workflow" platform for complex tasks.

    TypeScript
  • aci

    4617

    AI agent integration platform. Connects agents to 600+ tools via MCP server with auth & permissions. Function calling & VibeOps.

    Python
  • Viper

    4526

    Adversary simulation and Red teaming platform with AI

  • 5ire

    4518

    This repository hosts a sleek AI assistant and MCP client that supports various AI models like OpenAI, Google, and Mistral, and offers tools requiring Python, Node.js, and uv for activation.

    TypeScript
  • deep-research

    4034

    No description provided

    JavaScript
  • casibase

    4023

    ⚡️AI Cloud OS: Open-source enterprise-level AI knowledge base and MCP (model-context-protocol)/A2A (agent-to-agent) management platform with admin UI, user management and Single-Sign-On⚡️, supports Ch

    Go
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