MCP (Model Context Protocol) is a shared standard connecting AI assistants to outside tools and data. Most material available today leans toward the using side: plugging an existing MCP server into an AI tool. But the real value appears when you move to the other side and expose your own business data and internal systems in a form an AI can call. This course covers only that building side, as 50 exercises in TypeScript.
This is not a course you read, or a course you watch. All 50 exercises run to the same rhythm: task, acceptance criteria, implement it yourself, grade it with npm run check, then check your work in the review video. There are two videos per exercise. The problem video hands you the knowledge and the expected result, you pause there and write it yourself, and the review video covers the model answer, common errors and the design decisions. Nothing about this course lets you watch it through with your hands still.
The curriculum is six chapters. Chapter 1 covers Tools in 10 exercises: registerTool, Zod schemas, structured output, error design, progress notifications and logging. Chapter 2 covers Resources and Prompts in 8 exercises: URI templates, binary data, subscription notifications, prompts with arguments, and resource_link. Unlike Tools-heavy material, all three primitives are practised evenly, by hand.
