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AgentMCP: The Universal System for AI Agent Collaboration MCP Se…

@grupa-ai

代码仓库主页

基本信息

分类

AI 与智能体

传输方式

stdio

作者

grupa-ai

关于 AgentMCP: The Universal System for AI Agent Collaboration MCP Server

MCPAgent for Grupa.AI Multi-agent Collaboration Network (MACNET) with Model Context Protocol (MCP) capabilities baked in

#mcp#agents#aiagent#aiagents#mcp-servers#mcp-server#mcp-client#awesome-mcp-servers#mcp-server-store#mcp-agent-framework

AgentMCP: The Universal System for AI Agent Collaboration MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "agent-mcp-grupa-ai": {
      "command": "python",
      "args": [
        "demos/network/test_deployed_network.py"
      ]
    }
  }
}

AgentMCP: The Universal System for AI Agent Collaboration MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is AgentMCP?

AgentMCP is a universal system for AI agent collaboration. It handles networking, communication, and coordination between agents, allowing any agent to work with others regardless of framework or location, using MACNet, the Internet of AI Agents.

How to use AgentMCP?

Install with pip install agent-mcp, then add the @mcp_agent(mcp_id="MyAgent") decorator to an existing agent class. The decorator automatically connects the agent to MACNet, making it discoverable and ready to collaborate.

Key features of AgentMCP

  • One decorator connects any agent to a global network.
  • Framework independence: works with Autogen, LangChain, CrewAI, custom agents, and more.
  • Automatic agent registration, authentication, and discovery.
  • Intelligent task routing and cost optimization (80-90% reduction).
  • Multi-provider support: OpenAI, Gemini, Claude, Agent Lightning, and others.

Use cases of AgentMCP

  • Enable multi-agent chat between agents built on different frameworks (e.g., Autogen and LangGraph).
  • Automatically reduce AI provider costs by 80-90% through intelligent routing.
  • Leverage Advanced Agent Lightning features such as Auto-Prompt Optimization and Reinforcement Learning.
  • Orchestrate a pipeline of specialized agents (e.g., data cleaning, prediction, analysis).
  • Connect any custom AI agent to a global network with minimal code changes.

常见问题

1

How do I install AgentMCP?

Install it via pip: `pip install agent-mcp`.

2

Do I need to modify my agent's existing code?

No. Simply add the `@mcp_agent(mcp_id="YourAgentID")` decorator to your existing agent class—no other changes are required.

3

Which AI frameworks are supported?

AgentMCP officially supports Autogen, LangChain, LangGraph, CrewAI, OpenAI GPT, Google Gemini, Anthropic Claude, LlamaIndex, Pydantic AI, Microsoft Agent Framework, A2A Protocol, CAMEL, and custom agent implementations. More are coming soon.

4

How does authentication work?

The `@mcp_agent` decorator handles authentication automatically: it registers your agent, obtains an access token, and maintains the secure connection to MACNet.

5

Can AgentMCP reduce AI costs?

Yes. AgentMCP includes an `@optimize_costs` decorator that automatically routes tasks to the most cost-effective provider, achieving up to 80-90% cost savings without sacrificing quality.

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