Build Data-Aware AI Agents with MCP Toolbox & ADK | MCP Toolbox for Databases #4

Welcome to Video 4 of the "MCP Toolbox for Databases" course!

After understanding the "Data Gap," it's time to build the bridge. In this lesson, you'll learn how to set up and run your very first MCP Toolbox server locally.

We'll use a real-world example: querying the public Google Cloud Release Notes BigQuery dataset. This hands-on tutorial will cover:
How to configure your `tools.yaml` file and launching the MCP server.
The essential steps to connect your ADK agent to this locally running MCP Toolbox server.

By the end, you'll have a fully functional AI agent that connects to a database using Google's Agent Development Kit and MCP toolbox for Databases.

Official Google Codelab: https://codelabs.developers.google.co...

🔗 Key Links
GitHub Repo (All Code for this lesson): https://github.com/aryanirani123/Agen...
Full Course Playlist:    • MCP Toolbox for Databases  
MCP Toolbox for Database Documentation: https://googleapis.github.io/genai-to...

Getting started with ADK: https://google.github.io/adk-docs/get...

Building a Google Tasks To-Do Agent with Agent Development Kit :    • Google ADK Tutorial: Building a Google Tas...  

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