A2amcp — Development skill for Claude Code
A2AMCP is a Agent2Agent MCP communication Server taking the concept from Google's Agent2Agent Protocol (A2A).
How to install A2amcp
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open webdevtodayjason/A2AMCP and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What A2amcp does
A2AMCP is a Agent2Agent MCP communication Server taking the concept from Google's Agent2Agent Protocol (A2A).
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README
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"
}
}
}
}
🎯
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