Developer Builds Data Analyst AI Agent Using Google ADK at Kisumu Event

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At a recent Build with Google AI event in Kisumu, a developer built a Data Analyst Agent using Google's open-source Agent Development Kit (ADK), a Python framework for creating autonomous AI agents. The project demonstrated agentic workflows, where complex tasks are split across specialized units coordinated by an orchestrator, rather than relying on a single AI prompt. During local testing, the developer encountered two configuration errors — an invalid model endpoint and a formatting typo in the model name string — both of which were resolved by correcting the configuration files and refreshing authentication. The Model Context Protocol (MCP) was highlighted as a key standard that allows agents to connect uniformly to external databases and tools without custom integrations. Key takeaways from the build include the importance of exact model name syntax, using MCP for tool standardization, and leveraging local tracing tools like ADK's built-in web UI to debug API issues efficiently.

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