MCP Fundamentals for Building AI Agents

MCP is one of those technologies where theoretical knowledge is widespread, yet production-grade implementation experience remains limited. The protocol itself is well-designed, but the documentation assumes a lot, the ecosystem is young, and most engineers I talk to have the same question: where do I actually start? That's why I built this course. As someone who has spent years researching and teaching AI systems (from neural networks and adaptive systems to the production-ready GenAI architectures we cover in other courses on Educative) I wanted to create the resource I wish existed when I first started working with MCP: a clear, structured, hands-on path from zero to a working MCP application. You'll start with the fundamentals: why agentic systems need a protocol like MCP in the first place, and how MCP's architecture (Host, Server, Client) solves the integration problems that have plagued AI tooling. From there, you'll build. You'll code an MCP server, wire up a client, add prompt and resource capabilities, and see your agent dynamically discover and use tools through the protocol. Everything runs in-browser. No local setup required. This course is designed for engineers who want to move beyond surface-level understanding and actually build with MCP. By the end, you’ll know how to implement the protocol, debug it, and understand where it fits in real GenAI architectures. If you’re serious about working with agentic systems and want a practical, grounded entry point into MCP, this course gives you a clear place to start and the confidence to go further.