A2AMCP
Enables AI agents to communicate, coordinate, and collaborate in real-time within the Model Context Protocol (MCP) ecosystem.
Acerca de
A2AMCP brings Google's Agent-to-Agent (A2A) communication concepts to the Model Context Protocol (MCP) ecosystem, addressing the critical challenge of isolated AI agents working on the same codebase. By providing a persistent, Redis-backed server, it allows AI agents to coordinate, share interfaces, prevent file conflicts, and work synergistically on parallel development tasks, transforming disconnected efforts into a cohesive team-based approach for AI-powered development.
Características Principales
- 7 GitHub stars
- Multi-Project Support
- File Conflict Prevention
- Shared Context Management
- Real-time Agent Communication
- Task Transparency
Casos de Uso
- Coordinating multi-agent development for microservices architectures
- Enabling collaboration between frontend and backend AI agents in full-stack application development
- Synchronizing multiple AI agents working on interconnected documentation or refactoring tasks
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