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CrossAgentMCP

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CrossAgentMCP — 一个 A2A 池 MCP

A2A.md 愿景的最小化实现：一个 A2A 池 MCP，其中

  1. 任何智能体都可以注册到共享池中，

  2. 任何智能体都可以绑定到一个多智能体会话中，

  3. 智能体互相观察活动，在同伴完成后对其进行批评， 自我改进，并且无需人工干预持续工作，直到会话中的每个智能体都满足一个共享目标。

架构

三种进程类型：

        ┌────────────────── POOL (:9100, FastAPI HTTP JSON-RPC) ──────────────────┐
        │  registry / sessions / activity / critique / goal  (in-memory control   │
        │  plane — does NOT route work messages)                                  │
        └──────────────────────────────────────────────────────────────────────────┘
            ▲ pool JSON-RPC (PoolClient)            ▲ pool JSON-RPC (per-agent bridge)
            │                                       │
      ┌─────┴──────┐    peer A2A (SendMessage/GetTask)   ┌─────┴──────┐
      │ orchestrator│◄──────────────────────────────────►│ agent-N    │ … :9101..9103
      └────────────┘      each agent runs its own         └────────────┘
          headless            v1.0 A2A HTTP server

  • 池 (crossagent/pool.py) — 中央控制面板：注册表、会话、仅追加的每个会话活动日志、批评线程以及每个智能体的满意度。

  • 智能体 — 每个都是一个目录 (agents/<role>/)，包含：

    • server.py — 一个 v1.0 A2A HTTP 服务器（对等数据平面）；

    • .mcp.json — 注册 a2a stdio MCP 桥接 (crossagent/a2a_bridge.py)；

    • CLAUDE.md — 角色 + 每轮合约。

  • 编排器 (crossagent/orchestrator.py) — 唯一推动时间前进的组件：注册智能体、创建会话，然后轮询地、无头地运行每个智能体 (claude -p)，向其提供自上次轮次以来的活动/批评增量，直到所有成员都满意（或触发轮次预算/无进展保护）。

Related MCP server: kitty-hive

协议

忠实于 A2A v1.0（PascalCase JSON-RPC 方法、camelCase JSON、SCREAMING_SNAKE_CASE 枚举）。参见 crossagent/a2a.py。

设置

uv sync          # Python 3.11+ venv + deps

用法

make test        # unit tests (protocol / pool / orchestrator with fake agents)
make smoke       # pool + 2 A2A servers up; scripted round-trip (no real Claude)
make demo        # full headless 3-agent demo (writer / critic / lead) — needs `claude`

演示目标

demo/goal.json 要求三个智能体——writer、critic、lead——共同编写 demo/output/design.md（一个 URL 缩短器设计），直到三个都声明满意为止。

备注

  • .mcp.json 文件硬编码了仓库路径 D:/GitRepo-AI/CrossAgentMCP（匹配 claude-a2a 参考）；如果您移动了仓库位置，请更新它。

  • 池和智能体服务器将状态保留在内存中；重新启动时它们会重置。

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