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

@grupa-ai

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基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

grupa-ai

AgentMCP: The Universal System for AI Agent Collaboration MCP Server について

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 の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

AgentMCP: The Universal System for AI Agent Collaboration MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.

よくある質問

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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