What are the runtime dependencies?
Python and the `agent-mcp` package. The decorator requires no additional infrastructure setup.
@geniusgeek
基本情報
MCPAgent for Grupa.AI Multi-agent Collaboration Network (MACNET) with Model Context Protocol (MCP) capabilities baked in
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": {
"command": "python",
"args": [
"demos/network/test_deployed_network.py"
]
}
}
}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。
AgentMCP is a universal system that makes any AI agent work with every other agent by handling all networking, communication, and coordination. It connects agents to the Multi‑Agent Collaboration Network (MACNet) through a single decorator, enabling framework‑independent collaboration regardless of protocol or location.
Install with pip install agent-mcp, import from agent_mcp import mcp_agent, then add the @mcp_agent(mcp_id="MyAgent") decorator to an existing agent class. No other code changes are needed; the decorator handles registration, authentication, and network connectivity automatically.
Python and the `agent-mcp` package. The decorator requires no additional infrastructure setup.
AgentMCP connects to a hosted network at `https://mcp-server-ixlfhxquwq-ew.a.run.app`. Authentication and messaging are managed automatically.
Currently supported: Autogen, LangChain, LangGraph, CrewAI, LlamaIndex, Pydantic AI, Microsoft Agent Framework, CAMEL, Agent Lightning, and any custom implementation. Google’s A2A protocol is also supported.
The `@mcp_agent` decorator automatically registers the agent, obtains an access token, and maintains the connection. No manual authentication steps are required.
It is built on FastAPI, providing an asynchronous and scalable architecture for agent communication.
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