Discover how to build intelligent AI agents with Google’s Agent Development Kit (ADK) and integrate them with external tools using the Model Context Protocol (MCP) and Gemini 2.5 Pro. This comprehensive guide walks through the core concepts of ADK, its agent types, and tools, along with step-by-step implementation instructions
Table of contents
Building AI Agents with Google’s Agent Development Kit (ADK) as MCP Client — A Deep Dive (Full Code)What is ADK — Agent Development Kit ?What are Agents in ADK ?Core Agent CategoriesWhat is Tools in context with ADK ?How Agents Use Tools ?Tool Types in ADKArchitectureImplementationPre-RequisitesStep 1 : Setup virtual environmentStep 2: Install the MCP Server — mcp-flight-searchStep 3 : Understanding ADK as MCP ClientStep 4 : Connecting to MCP ServerStep5 : Agent creation from ADKStep 6 : Integrating Agent creation , session management and orchestration with runnerStep 7 : DemoKey Considerations for Integrating MCP with ADKGemini API Cost BillingOfficial Documentation ReferencesGitHub Repository:Conclusion1 Comment
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