If you've heard about the Model Context Protocol (MCP) but aren't sure how to build something with it, this guide is for you.

In my previous article, I explained what MCP is and why it matters. If you haven't read it yet, I recommend starting there first.

Understanding the concepts is one thing. Building an AI agent that actually uses MCP is another.

In this guide, you'll build a simple AI agent that communicates with an MCP server, uses external tools, and returns useful responses. More importantly, you'll understand why each component exists and how they work together.

By the end, you'll have a solid foundation that you can extend into more advanced AI applications.