A2A Router
Multi-agent system that combines Google's Agent Development Kit with router-based architecture to coordinate specialized AI agents, enabling task delegation between remote agents like weather services through streaming and non-streaming interactions.
About
This A2A-ADK-MCP example demonstrates a multi-agent AI system that combines Google's Agent Development Kit (ADK) with the Model Context Protocol (MCP) to create a router-based architecture for coordinating multiple specialized AI agents. The implementation features a router agent that can discover, register, and delegate tasks to remote agents, with one example being a weather service agent that provides MCP tools for weather data retrieval. Built by cloud-ru-tech, it showcases how to integrate Google's ADK for agent orchestration with MCP for tool connectivity, supporting both streaming and non-streaming interactions, task management, and multi-modal content exchange through the A2A (Agent-to-Agent) protocol, making it valuable for building distributed AI systems where different agents handle specialized domains like weather, routing, or other services.
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