Everyone is building AI agents, but many of us are still connecting them the old way: custom integrations, hardcoded APIs, duplicated logic, and connectors that become difficult to maintain as projects grow.

In this demo-driven session, I'll share the mistakes I made, what finally clicked, and how MCP simplified my architecture. You'll see how to build an MCP server from scratch, connect it to an AI agent, expose existing tools and APIs, and follow the patterns that make MCP implementations scalable and production-ready.

Whether you're building your first AI agent or looking to modernize an existing one, you'll leave with a practical understanding of MCP and a blueprint you can apply to your own projects the very next day.

Demo-driven | Lessons learned from building AI Agents | Step by Step learning