Building AI Integrations with Model Context Protocol (MCP)

Building AI Integrations with Model Context Protocol (MCP)

From MCP Foundations to Real Integrations with Claude and Cursor



Sub Category

  • No-Code Development

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Objectives

  • What MCP is, why it exists, and how it solves the AI integration problem
  • How MCP defines and manages “context” through tools, resources, prompts, and sampling
  • The roles and responsibilities of MCP hosts, clients, and servers
  • How MCP communication flows from user request to server execution and back
  • How to build and test MCP servers and clients using FastMCP
  • How MCP uses JSON-RPC 2.0 and streamable HTTP transport
  • How to integrate MCP with modern AI development tools like Claude Code and Cursor


Pre Requisites

  1. You do not need prior experience with MCP.


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



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