An LLM can write code, explain concepts and answer questions — but what happens when you want it to use your tools and actually get things done?

This session introduces Model Context Protocol (MCP) through a simple developer-first approach. We’ll explore how MCP enables AI applications and agents to connect with external tools, data and services through a common interface — much like USB-C made it easier to connect different devices.

Starting with a simple AI application, we’ll progressively give it access to real-world capabilities such as files, APIs, developer tools and application data. We’ll see what happens when an AI moves from simply generating an answer to using tools, gathering information, reasoning over the results and taking action.

The session will also cover the basic architecture of MCP, how MCP servers and tools work, and where this technology fits into the rapidly evolving agentic AI ecosystem.

No deep AI or ML background is required. If you can build a basic application and are curious about what comes next for AI, this session is for you.