The teams that define their agents now will have a serious productivity edge. I am building custom agents for workflow using Copilot — focused on automation, faster execution, and scalable decision support.

Once upon a time, there was a baker who baked the perfect giant cake. It was huge, heavy, and costly to make. People loved it, but soon everyone started asking for different flavors: “Can I get chocolate?” 🍫 “How about strawberry?” 🍓 “What if you add coffee and almonds?” ☕🌰 The baker sighed. “I can’t bake a new giant cake every time… it’s too expensive!” That’s when the idea struck: 👉 Don’t bake a new cake. Just add a topping. ...

In this brief tutorial, we’ll use FastMCP to transform an existing TODO application (which exposes an OpenAPI spec) into a MCP server and link it to CoPilot for organic task interactions. Step 1: The TODO App Your TODO app should already be running at: http://localhost:8000 And exposing its OpenAPI spec at: http://localhost:8000/openapi.json Step 2: Create the MCP Server Create a file todo_mcp_server.py: import httpx from fastmcp import FastMCP client = httpx.AsyncClient(base_url="http://localhost:8000") spec = httpx.get("http://localhost:8000/openapi.json").json() mcp = FastMCP.from_openapi(openapi_spec=spec, client=client) if __name__ == "__main__": mcp.run( transport="http", host="localhost", port=4200, path="/todo-mcp/http", log_level="debug", ) Run it: ...