A2AMCP

A2AMCP - Agent-to-Agent Model Context Protocol

[](https://opensource.org/licenses/MIT) [](https://www.docker.com/) [](https://redis.io/) [](https://github.com/webdevtodayjason/A2AMCP)

Enabling Seamless Multi-Agent Collaboration for AI-Powered Development

A2AMCP brings Google's Agent-to-Agent (A2A) communication concepts to the Model Context Protocol (MCP) ecosystem, enabling AI agents to communicate, coordinate, and collaborate in real-time while working on parallel development tasks.

Originally created for [SplitMind](https://github.com/webdevtodayjason/splitmind), A2AMCP solves the critical problem of isolated AI agents working on the same codebase without awareness of each other's changes.

**✅ Server Status: WORKING! All 17 tools implemented and tested. Uses modern MCP SDK 1.9.3.**

🚀 Quick Start

Using Docker (Recommended)

# Clone the repository
git clone https://github.com/webdevtodayjason/A2AMCP
cd A2AMCP

# Start the server
docker-compose up -d

# Verify it's running
docker ps | grep splitmind

# Test the connection
python verify_mcp.py

Configure Your Agents

Claude Code (CLI)

# Add the MCP server using Claude Code CLI
claude mcp add splitmind-a2amcp \
  -e REDIS_URL=redis://localhost:6379 \
  -- docker exec -i splitmind-mcp-server python /app/mcp-server-redis.py

Claude Desktop

Add to your configuration file (`~/Library/Application Support/Claude/claude_desktop_config.json` on macOS):

{
  "mcpServers": {
    "splitmind-a2amcp": {
      "command": "docker",
      "args": ["exec", "-i", "splitmind-mcp-server", "python", "/app/mcp-server-redis.py"],
      "env": {
        "REDIS_URL": "redis://redis:6379"
      }
    }
  }
}

🎯