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MCP Advanced: Build Your Own Server

For developers who want to build their own MCP server and put their product or data inside MCP-ready AI apps.

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Connecting to other people's MCP servers is useful. Building your own is where it gets interesting. A well-built server puts your product, your data or your team's tools directly inside AI assistants such as Claude, ready to be used in plain conversation.

This course is live and hands-on. You design and build a server around a real idea of your own, with mentors reviewing your work at each stage. You learn what makes a server easy for an AI to use well, how to make it secure enough to put in front of real users, and how to ship it so others can install it.

What you will learn

  • Build your own MCP server around a real idea of yours
  • Design a server that AI assistants use well
  • Secure your server properly before real users arrive
  • Ship your server so others can install and use it

Course outline

The full material opens once you are enrolled.

  1. Module 1

    Design that AI understands

    • From idea to server planTurn your product, data or tools into a plan for a server AI assistants can use.
    • Speaking the model's languageThe design choices that make an assistant use your server well.
    • Your first server, liveGet a working server running and connected during the session.

  2. Module 2

    Local to remote

    • Running on your own machineStart simple with a server that runs right next to the assistant.
    • Going onlineTake your server to the web so people can connect from anywhere.
    • Letting the right people inControl who can use your server and what they are allowed to do.

  3. Module 3

    Ready for real users

    • Testing like we doPut your server through the checks we use before trusting it with real work.
    • Locking it downClose the gaps attackers look for in AI-connected software.
    • Shipping itPublish your server so others can find, install and use it.

What's included

  • Taught live

    Hands-on sessions with your cohort, applied to your own work rather than textbook examples.

  • Certificate, with your portfolio on it

    Complete the course and you get a certificate that shows the portfolio you built: the projects you shipped, not the hours you sat through.

  • Pairs with your main course

    Take it alongside Builder, Innovator or Architect to go deeper in your own field.

  • Reviewed, not just watched

    Your work gets direct feedback, and one-to-one doubt sessions are there when you ask.

  • The community

    Learn alongside people putting the same skills to work.

Want this with your course?

For developers who want to build their own MCP server and put their product or data inside MCP-ready AI apps.

Invite only

Ask about enrolling