<ul><li>This article discusses the implementation of Google’s Agent Development Kit (ADK) as a MCP client, leveraging MCP Servers through ADK agent and the core concepts of ADK.</li><li>ADK is an open-source Python toolkit for building, evaluating, and deploying intelligent AI agents, while MCP is the Model Context Protocol.</li><li>The article explains the LlmAgent, Runner, InMemorySessionService, MCPToolSet, and StdioServerParameters components used in ADK.</li><li>The article also covers topics such as user query in MCP client, tool types and integration, asynchronous architecture, stateful sessions in MCP, deployment considerations, and managing MCP connections.</li></ul>

Building AI Agents with Google’s Agent Development Kit (ADK) as MCP Client — A Deep Dive (Full…

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