Building Your First MCP Server and Client (Self-Paced)

Self-paced online training with expert support

This self-paced workshop is made for developers ready to push past MCP fundamentals and learn what it takes to design servers that genuinely shine when AI agents put them to work. With Python and FastMCP in hand, you'll build a functioning MCP server and client starting from nothing, all while sharpening the design instincts that make them agent-native right out of the gate.

$649 4 clock hours Live Support Start anytime

This course includes

  • 4 hours of project-based training from experts
  • Software Access
  • Answers from real instructors
  • Retake for free within 1 year
  • Access to class recordings (30 days)
  • Verified digital certificate of completion

This course is self-paced. For live online or in-person instruction, take Building Your First MCP Server and Client.

This self-paced workshop brings you face to face with the Model Context Protocol (MCP) by guiding you through one complete build from start to finish. You'll come to understand what MCP is, the reasons it matters, and how to craft MCP servers aimed at AI agents rather than passing them off as flimsy covers over REST APIs. Leaning on Python and FastMCP, you'll assemble a live MCP server on top of the SpaceX API, put it through local testing, hook it up to a host that supports MCP, and then write a pared-down MCP client capable of locating and calling the tools your server exposes.

The course gives implementation and design an even footing. Past simply standing up a server and client that run, you'll discover how to keep tool sprawl in check, organize everything around the way agents operate, rein in context-window costs, and turn out tool descriptions and outputs that sit well with large language models. By the end, you'll have a working MCP server and client to your name, a grounded grasp of MCP architecture and how tools get invoked, and a repeatable approach you can reuse to design servers that feel far more agent-native.

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