Explore building a multi-agent AI application using Google’s A2A protocol, ADK, and MCP. Delve into core concepts like task-based communication, agent discovery, framework-agnostic interoperability, multi-modal messaging, and standardized message structures. Learn about a practical demo involving a multi-agent travel planner that showcases these principles in action.
Table of contents
Building Multi-Agent AI App with Google’s A2A (Agent2Agent) Protocol, ADK, and MCPIntroductionQuick RecapWhat is A2A protocol ?A2A vs MCP — Key DifferenceA2A Protocol — Core ConceptArchitectureAgent Communication FlowImplementationStep 1 : Setup virtual environmentStep 2: Install MCP Servers packageStep 3: Set Env. variable for Gemini , OpenAI , SerpAIStep 4: Setting up Flight Search (Agent ) using ADK as MCP Client using Gemini 2.0 FlashStep 5: Configure Hotel Search Agent using LangChain as MCP Client and using OpenAI(GPT-4o) as LLMStep 6 : Implement Host Agent as Orchestrator between agents using A2A protocolStep 7: Final DemoA2A Protocol — Official DocumentationConclusion2 Comments
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