A2AMCP is a Agent2Agent MCP communication Server taking the concept from Google's Agent2Agent Protocol (A2A)
Overview
What is A2AMCP?
A2AMCP is a persistent, multi-project MCP (Message Communication Protocol) server that facilitates real-time communication between AI agents working on parallel tasks, inspired by Google's Agent2Agent Protocol (A2A).
How to use A2AMCP?
To use A2AMCP, clone the repository, set up the Docker environment, and start the services. Configure your agents to connect to the MCP server for task management and communication.
Key features of A2AMCP?
- Multi-project support with isolated namespaces.
- Persistent state management using Redis.
- Todo list management for each agent.
- Automatic cleanup of inactive agents.
- Easy deployment with Docker.
- Real-time monitoring through an optional Redis Commander UI.
Use cases of A2AMCP?
- Managing multiple AI agents in a collaborative project.
- Coordinating tasks and communication between agents in real-time.
- Monitoring agent activity and task progress through a web interface.
FAQ from A2AMCP?
- Can A2AMCP handle multiple projects simultaneously?
Yes! A2AMCP supports multiple projects with isolated namespaces for each.
- Is A2AMCP easy to deploy?
Yes! A2AMCP can be easily deployed using Docker, making setup straightforward.
- How does A2AMCP ensure data persistence?
A2AMCP uses Redis as a backend to maintain persistent data across server restarts.