Uploaded June 2026 | Updated September 2026, 3 weeks ago

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Google MCPs → https://goo.gle/3PYkjky
Build an ADK agent with Google MCPs → https://goo.gle/4o6h8DP
Connect an MCP server to an AI agent → https://goo.gle/4uk7YW2

APIs were built for deterministic programs, but AI models reason probabilistically. So how do you get your AI agents to talk to your tools and data without writing messy, custom integration code every time? Enter the Model Context Protocol (MCP). In this video, Smitha Kolan explains what MCP is, how it standardizes the way AI models discover and interact with external resources, and why it's becoming the new standard over traditional APIs for AI-powered applications

Chapters:
0:00 - Intro: The problem with APIs and AI
0:48 - What is Model Context Protocol (MCP)?
1:26 - What exactly do MCPs connect to?
2:43 - How MCP works (clients vs. servers)
4:03 - MCP core components: Tools, prompts, resources & context
5:20 - MCP vs. API: What is the difference?
6:43 - Practical example: Building an AI assistant using MCP
7:48 - Summary

More resources:
Learn what AI agents and build an agent → https://goo.gle/AI-agents-explained
Learn how to build a MCP server → https://goo.gle/MCP-servers-explained
Read more about Google managed MCP servers → https://goo.gle/4e3Wobs

🔗 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

#AIAgents #MCP #ModelContextProtocol

Speaker: Smitha Kolan
Products Mentioned: AI Infrastructure