How to deploy an AI agent on Cloud Run (step by step)
How to deploy an AI agent on Cloud Run (step by step)


Author: Google Cloud Tech – Duration: 00:13:44
Run the Coding Lab today. → https://goo.gle/4g2NY6x
Agent Development Kit (ADK) Documentation → https://goo.gle/4esLqMX
MCP explained → https://goo.gle/3QVScTB
Stop running AI agents locally! Join Smitha Kolan to demonstrate how to take a Python AI agent, powered by the Agent Development Kit (ADK) and secured by the Model Context Protocol (MCP), and cleanly deploy it on Google Cloud Run. Watch Smitha demystify Cloud Run's serverless scaling and explain the precise configuration needed to build enterprise-ready tools using reliably scalable AI systems. Chapters: 0:00 – How to create 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 – Creating the agent with ADK 6:53 – Configuring MCP and Wikipedia tools 7:34 – Creating search and presentation agents 8:48 – Root agent and workflow 9:30 – Deploying to Cloud Run 10:43 – Testing your agent live 11:26 – Next steps and enhancements 12:39 – Cleaning up and recap More resources: Agent SDK (ADK) documentation → https://goo.gle/4dS4l4w
Cloud Run Documentation → https://goo.gle/4ulsyVH
MCP vs. API → https://goo.gle/4eQVGzN
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Watch more modern AI agents: from theory to production → https://goo.gle/Learn-with-Smitha
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#CloudRun #AIAgents #GoogleCloud #ADK #Gemini #MCP #ModelContextProtocol #Python #Deployment Speaker: Smitha Kolan Products mentioned: Cloud Run, Agent SDK, Vertex AI, Model Context Protocol, Artifact Registry, Cloud Build






