AI agents are evolving beyond simple Q&A—they’re now capable of executing tasks and collaborating across systems. But 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 session, we’ll cover:
The principles behind MCP for AI agentic workflows
Real-world use cases for building with MCP
A hands-on walkthrough of setting up an agent backend using Xano
How to create your own custom MCP tools and servers with Xano
How to join:
YouTube: https://www.youtube.com/watch?v=x-Dn54l9Bds
LinkedIn: https://www.linkedin.com/events/xanowebinar-mcpforbuildingconne7330983154670854144/theater/
Twitter: https://x.com/nocodebackend
Twitch: https://twitch.tv/nocodebackend