The future of Cloud AI: Mastering MCP servers, Gemini, and agentic workflows

Опубликовано 19 мая 2026, 4:00

GitHub repo → goo.gle/3Pn0Z01
[Codelab] Building ADK Agents with Skills and Tools → goo.gle/4wB4515
Explore a high-scale agentic AI-powered simulation sandbox → goo.gle/4nEraMv

Discover how to build enterprise ready AI agents using the open source Agent Development Kit (ADK 2.0) and Gemini models, as showcased in the Google Cloud Next '26 Dev Keynote. Learn to efficiently manage context by leveraging modular "skills" and remote MCP servers—including Google Maps and Workspace—to orchestrate complex, real world tasks like generating mathematically perfect GeoJSON routes. Get hands on with the open source "race condition" GitHub repository and codelabs to deploy your own scalable, multi-agent workflows on Agent Runtime, Cloud Run, or GKE today.

Chapters:
0:00 - Intro
0:53 - What is Agent Development Kit (ADK)?
2:07 - Equipping agents with skills and tools
3:54 - [Demo] The Las Vegas marathon simulation
4:57 - Calculating routes with GIS code
5:53 - Integrating the Google Maps MCP server
7:00 - Converting documents into non-deterministic criteria
8:32 - Exploring the open source GitHub repository
10:13 - Code walkthrough
12:34 - Mapping & grounding skills
13:58 - Race director skill
14:37 - [Codelab] Building ADK Agents with Skills and Tools
16:07 - Summary and getting started

Watch more Google Cloud Next 2026 → goo.gle/next-talks-2026
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Speaker: Mofi Rahman
Products Mentioned: Google Cloud Next, Google Kubernetes Engine, Agent Development Kit, Google Maps, Google Workspace, Cloud Run, Gemini