Everything you need to know about MCP for building connected AI agents

SPEAKERS
Daniel Petro
Daniel Petro
Developer Advocate
Cameron Booth
Cameron Booth
Developer Education
DATE / LOCATION
Previously aired on June 4th, 2025
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AI agents are no longer limited to answering questions. They’re beginning to take action, execute tasks, and collaborate across systems. However, to do that effectively, they need more than traditional APIs. They need structure, discoverability, and a shared language. That’s where the Model Context Protocol (MCP) comes in.

In this webinar, we cover:
  • → The principles behind MCP for AI agentic workflows
  • → Use cases for building MCP
  • → Xano tools you can use to build your own MCP server and integrate LLMs into your workflows
  • → A walkthrough of setting up a real-world agent using Xano