Let’s be honest: most AI demos feel like magic tricks. You type something, it replies. Cool!
But what happens when you want your AI to actually do something? Like read a file, summarize a document, call an API, run a script, trigger a workflow, etc.
That’s where the GitHub Copilot SDK and MCP servers come in.
They let you build real AI agents — ones that can reason, call tools, and interact with your environment like a tiny software teammate.
In my latest video, I show you how to wire up local and remote MCP servers into a GitHub Copilot SDK agent. You’ll learn:
- How MCP works
- How to build your own MCP server in Python
- How to plug it into your agent
- How to mix local and remote tools like a pro
👉 Watch the full walkthrough here
If you’ve ever wanted to build an AI agent that feels like a real part of your stack — not just a chatbot — this is the video to watch.
Let me know what you build after watching.
I’m curious.
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