CrossAgentMCP

CrossAgentMCP

An A2A pool MCP server that enables multiple AI agents to register, collaborate in sessions, critique each other, and self-improve towards shared goals with no human intervention.

Category
访问服务器

README

CrossAgentMCP — an A2A pool MCP

A minimal implementation of the A2A.md vision: an A2A pool MCP where

  1. any agent can register into the shared pool,
  2. any agent can bind into a multi-agent session,
  3. agents watch each other's activity, critique peers after they finish, self-improve, and keep working with no human intervention until a shared goal is satisfied by every agent in the session.

Architecture

Three process types:

        ┌────────────────── 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
  • Pool (crossagent/pool.py) — central control plane: registry, sessions, an append-only per-session activity log, critique threads, and per-agent satisfaction.
  • Agents — each is a directory (agents/<role>/) with:
    • server.py — a v1.0 A2A HTTP server (peer data plane);
    • .mcp.json — registers the a2a stdio MCP bridge (crossagent/a2a_bridge.py);
    • CLAUDE.md — the role + per-turn contract.
  • Orchestrator (crossagent/orchestrator.py) — the only component that advances time: registers agents, creates the session, then round-robin runs each agent headlessly (claude -p), feeding it the activity/critique delta since its last turn, until all members are satisfied (or a turn budget / no-progress guard trips).

Protocol

Faithful to A2A v1.0 (PascalCase JSON-RPC methods, camelCase JSON, SCREAMING_SNAKE_CASE enums). See crossagent/a2a.py.

Setup

uv sync          # Python 3.11+ venv + deps

Usage

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`

Demo goal

demo/goal.json asks three agents — writer, critic, lead — to co-author demo/output/design.md (a URL-shortener design) until all three declare satisfied.

Notes

  • .mcp.json files hardcode the repo path D:/GitRepo-AI/CrossAgentMCP (matching the claude-a2a reference); update it if you relocate the repo.
  • The pool and agent servers keep state in memory; they reset on restart.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选