Google Cloud Live: Getting started with MCP Toolbox for Databases

Google Cloud Tech · Intermediate ·🏗️ Systems Design & Architecture ·2d ago
MCP Toolbox GitHub → https://goo.gle/github-mcp-toolbox MCP Toolbox for Databases (Docs) → https://goo.gle/mcp-toolbox-dev Blogs → https://goo.gle/meduim-mcp-toolbox Ready to bridge the gap between your LLMs and your data? Model Context Protocol (MCP) is changing how we build AI agents. On our next livestream, we’re doing a deep dive into the MCP Toolbox for Databases. Join Kurtis Van Gent and Stephanie Wong to learn how to give your agents secure, high-performance access to AlloyDB and BigQuery. We’re covering: * The MCP Toolbox: How to support generic, runtime, and custom tools. * Secure Data Access: Authorization and authenticated parameters to keep your data safe. * Real world use cases: A live look at the "Cymbal Flowers" AI agent demo. * Live Q&A: Get your questions answered by the experts building these tools. Stop guessing how to connect your data to your agents and start building. This livestream originally aired on May 5, 2026 at 9:00 A.M. PDT / 12:00 P.M. EDT. Chapters: 0:00 - Countdown 1:52 - Intro 3:15 - Securing data access in the era of AI agents 4:40 - Modern challenges with securing data and AI agents 9:22 - MCP Toolbox for Databases (Toolbox) 10:54 - Build time agents and run time agents 13:16 - How does MCP Toolbox for Databases stop confused deputy attacks when an AI agent is talking to live databases? 17:00 - Architecting safe and robust AI agents in modern apps 19:11 - [Demo] Cymbal Air 23:44 - [Demo] Trying to compromise the AI agent 26:31 - Demo architecture & code 30:02 - ​​What are the latency trade offs when using MCP vs direct database queries in high throughput systems? 32:38 - Is this a self hosted toolbox or is it Google managed? 33:32 - Does Toolbox support progressive exposure of tools? 35:48 - Can Toolbox write queries on its own? 37:30 - Can Toolbox support complex queries like table joins or stored procedures? 38:09 - What’s the minimum architecture to deploy MCP in a production ready environment? 40:35 - Kurtis final thought
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

⚡
Availability ≠ Reliability ≠ Durability ≠ Resilience
Distinguish between availability, reliability, durability, and resilience in system design to improve incident response and engineering decisions
Medium · DevOps
 ⚡
How To Use Domain-Driven Design In Clean Architecture
Learn to apply Domain-Driven Design in Clean Architecture for building enterprise-grade systems with .NET 10
Medium · Programming
 ⚡
Event-Driven Architecture: When the Complexity Pays Off
Learn when event-driven architecture is worth the complexity and how to apply it effectively in your system design
Dev.to · Wolyra
⚡
The Best Engineers of the Next Decade Will Not Be the Best Coders
The best engineers of the next decade will prioritize system thinking over coding skills, enabling them to design and optimize complex systems
Dev.to · Ademola Adebowale

Chapters (18)

Countdown
1:52 Intro
3:15 Securing data access in the era of AI agents
4:40 Modern challenges with securing data and AI agents
9:22 MCP Toolbox for Databases (Toolbox)
10:54 Build time agents and run time agents
13:16 How does MCP Toolbox for Databases stop confused deputy attacks when an AI age
17:00 Architecting safe and robust AI agents in modern apps
19:11 [Demo] Cymbal Air
23:44 [Demo] Trying to compromise the AI agent
26:31 Demo architecture & code
30:02 ​​What are the latency trade offs when using MCP vs direct database queries in
32:38 Is this a self hosted toolbox or is it Google managed?
33:32 Does Toolbox support progressive exposure of tools?
35:48 Can Toolbox write queries on its own?
37:30 Can Toolbox support complex queries like table joins or stored procedures?
38:09 What’s the minimum architecture to deploy MCP in a production ready environmen
40:35 Kurtis final thought
Up next
Hostinger Supabase Tutorial 2026 - How to Self Host Supabase
Metics Media
Watch →