Build a Multi-Agent System with ADK, MCP, and Gemini

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How to evaluate agents in practice
Опубликовано 23 марта 2026, 16:00
Codelab→ goo.gle/40jFpLw
Video for developers → goo.gle/3ZJ6dor
Video for data engineers → goo.gle/4tRO4CO
Video for platform engineers → goo.gle/4qPZsMy

In this episode of Agentverse, we move beyond simple chatbots to architect a production-grade multi-agent ecosystem. You'll learn how to decouple your tools using the Model Context Protocol (MCP), craft specialized agent workflows (Sequential, Parallel, Loop), and orchestrate them as reusable microservices with the Agent-to-Agent (A2A) protocol. We wrap up by enforcing governance using callbacks, plugins, and memory to keep your system under control.

Chapters:
0:00 - Intro
02:30 - Decoupled tooling ecosystem - Setting up MCP servers
07:50 - Elemental familiars - Setting up workflow agents
13:33 - Using A2A for intelligent delegation
16:09 - Governance as code - Setting up interceptors
19:33 - Agent State Memory
21:21 - Outro

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#Gemini #GoogleCloud #Agentverse

Speaker: Debi Cabrera
Products Mentioned: Agent Development Kit, MCP, MCP Toolbox for Databases, Cloud Run
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