A
licenseB
qualityD
maintenanceA server for task orchestration and coordination, facilitating task management with dependencies, multi-instance collaboration, and persistent task tracking.
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MIT
A2A MCP Server
A2A ⚡ MCP 特工
该项目演示了两种不同的代理通信方法：
主控制程序 (MCP) - 一种基于集中式服务器的方法，代理通过中央服务器进行通信
代理对代理（A2A） ——一种去中心化的点对点方法，代理之间可以直接通信
安装
创建并激活虚拟环境：
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate安装依赖项：
pip install -r requirements.txtRelated MCP server: Novu MCP Server
用法
MCP 服务器和代理
启动 MCP 服务器：
python cli.py run-mcp-server在单独的终端中，启动一个或多个 MCP 代理：
python cli.py run-mcp-agent --agent-id agent1
python cli.py run-mcp-agent --agent-id agent2MCP 服务器会追踪所有已连接的代理及其状态。您可以在浏览器中打开http://localhost:5000查看状态。
A2A（代理到代理）网络
启动第一个 A2A 代理：
python cli.py run-a2a-agent --agent-id a2a1 --port 5001启动其他 A2A 代理，并将它们连接到现有代理：
python cli.py run-a2a-agent --agent-id a2a2 --port 5002 --peer localhost:5001
python cli.py run-a2a-agent --agent-id a2a3 --port 5003 --peer localhost:5001 --peer localhost:5002A2A 代理将通过其初始同伴自动发现其他代理。您可以在任何代理的终端中输入消息，以将其广播给所有连接的代理。
建筑学
MCP（主控制程序）
跟踪所有代理的集中式服务器
代理向服务器注册并通过心跳维持连接
服务器提供Web界面来监控代理状态
简单可靠，但存在单点故障
A2A（代理对代理）
去中心化的点对点网络
代理之间直接连接
信息在网络上泛滥
更具弹性，但需要更复杂的协调
无单点故障
项目结构
a2a_mcp/
├── agents/ # Agent implementations
│ ├── mcp_agent.py # MCP-based agent
│ └── a2a_agent.py # Peer-to-peer agent
├── mcp/ # MCP server implementation
│ └── server.py # Flask-based MCP server
├── cli.py # Command-line interface
└── requirements.txt # Python dependencies贡献
请随意提交问题并请求改进演示。
This server cannot be deployed
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