<ul><li>Anthropic’s Model Context Protocol (MCP) provides a standardized way for AI-powered agents to access external context.</li><li>Integrating Google's Agent Development Kit (ADK) with an external MCP server poses integration challenges.</li><li>Develop ADK agents that connect to external MCP servers using SSE for efficient communication.</li><li>The article demonstrates creating and configuring an MCP server with Python packages like uv and tools like extract_wikipedia_article.</li><li>The server.py file showcases setting up an MCP server instance with specified tools and SSE transport mechanism.</li><li>The interaction process between the server and client for real-time communication is detailed within the code.</li><li>Connecting ADK agents to the MCP server involves establishing an SSE connection using SseServerParams.</li><li>The agent.py file presents creating an ADK Agent equipped with tools fetched from the MCP Server.</li><li>Testing the agent involves utilizing the ADK developer tool interface for validation.</li><li>Streamable HTTP is introduced as a new transport protocol by MCP for more efficient server-client communication.</li></ul>

A guide to Google ADK and MCP integration with an external server

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