SplitMind MCP Agent Communication Server (Redis Edition)

@webdevtodayjason

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

webdevtodayjason

关于 SplitMind MCP Agent Communication Server

A2AMCP is a Agent2Agent MCP communication Server taking the concept from Google's Agent2Agent Protocol (A2A)

#mcp#agent-communication#redis

SplitMind MCP Agent Communication Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "A2AMCP": {
      "command": "docker",
      "args": [
        "exec",
        "-it",
        "splitmind-redis",
        "redis-cli"
      ]
    }
  }
}

SplitMind MCP Agent Communication Server 工具

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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is SplitMind MCP Agent Communication Server (Redis Edition)?

A persistent, multi-project MCP server that enables real-time communication between AI agents working on parallel tasks in SplitMind. Built with Docker and Redis for reliability and scalability.

How to use SplitMind MCP Agent Communication Server (Redis Edition)?

Clone the repository, make entrypoint.sh executable, and start services with docker-compose up -d. Each Claude Code agent must be configured with the JSON MCP server configuration pointing to the Docker container. Agents then use provided tools like register_agent, heartbeat, add_todo, and query_agent to coordinate.

Key features of SplitMind MCP Agent Communication Server (Redis Edition)

Multi-project isolated namespaces for different projects
Persistent state via Redis that survives restarts and crashes
Per-agent todo list management with priority and status
Automatic dead agent detection and cleanup via heartbeats
Docker deployment for easy setup and scalability
Optional Redis Commander web UI for real-time monitoring

Use cases of SplitMind MCP Agent Communication Server (Redis Edition)

Parallel AI agents working on separate tasks in the same project
File coordination with locks to prevent conflicts
Inter-agent queries and broadcasts for status and help
Sharing TypeScript interfaces and type definitions across agents
Tracking progress and task breakdown across all agents

常见问题

What are the runtime dependencies?

Docker and Docker Compose are required. The server uses a Redis container; optional Redis Commander container for monitoring.

How does dead agent cleanup work?

Agents must call `heartbeat()` every 30–60 seconds. If a heartbeat is missed, the agent is automatically cleaned up.

How can I monitor the system?

Use Redis Commander at `http://localhost:8081` (with debug profile), Docker logs, or direct Redis CLI via `docker exec`.

How can I secure the deployment in production?

Remove Redis port exposure, add a Redis password via `REDIS_URL`, and set resource limits on containers.

What data is stored per project?

Each project has a Redis namespace containing: agents hash, heartbeat timestamps, file locks, shared interfaces, agent todo lists, message queues, and a list of recent file changes.

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