Author: Google Cloud Tech - Bewertung: 23x - Views:78
Run the codelab today. → https://goo.gle/4g2NY6x
Agent Development Kit (ADK) docs → https://goo.gle/4esLqMX
MCP explained → https://goo.gle/3QVScTB
Stop running AI agents locally! Join Smitha Kolan as she demonstrates how to take a Python AI agent, powered by the Agent Development Kit (ADK) and secured by the Model Context Protocol (MCP), and deploy it cleanly onto Google Cloud Run.
Watch along as Smitha demystifies Cloud Run's serverless scaling and explains the precise configuration necessary to build enterprise ready tools using AI systems that reliably scale.
Chapters:
0:00 - How to build AI agents with MCP
0:52 - How Cloud Run works
2:11 - Project setup and dependencies
3:36 - Environment variables and service account
4:53 - Building the agent with ADK
6:53 - Setting up MCP and Wikipedia Tools
7:34 - Creating researcher and presenter agents
8:48 - Root agent and workflow
9:30 - Deploying to Cloud Run
10:43 - Testing your live agent
11:26 - Next steps and improvements
12:39 - Cleanup and recap
More resources:
Agent Development Kit (ADK) documentation → https://goo.gle/4dS4l4w
Cloud Run documentation → https://goo.gle/4ulsyVH
MCP vs API → https://goo.gle/4eQVGzN
🔗 Connect with Smitha online:
YouTube → https://goo.gle/Smitha-on-YouTube
Linkedin → https://goo.gle/Smitha-on-LinkedIn
X → https://goo.gle/Smitha-on-X
Watch more Modern AI Agents: From Theory to Production → https://goo.gle/Learn-with-Smitha
🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
#CloudRun #AIAgents #GoogleCloud #ADK #Gemini #MCP #ModelContextProtocol #Python #Deployment
Speaker: Smitha Kolan
Products Mentioned: Cloud Run, Agent Development Kit, Vertex AI, Model Context Protocol, Artifact Registry, Cloud Build