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Source channel @githubtrending · Post #14896 · Jul 2

#python#ai#authentication#authorization#claude#cursor#fastapi#llm#mcp#mcp_server#mcp_servers#modelcontextprotocol#openapi#windsurf FastAPI-MCP is a tool that lets you easily turn your FastAPI web API endpoints into Model Context Protocol (MCP) tools, which AI agents can use directly. It requires almost no setup—just connect it to your FastAPI app, and it automatically preserves your request/response data models and documentation. It also includes built-in authentication using your existing FastAPI security methods. You can run the MCP server inside your app or separately, and it communicates efficiently using FastAPI’s ASGI interface. This makes it simple to integrate AI capabilities with your existing FastAPI services without rewriting code, saving you time and effort while keeping your API secure and well-documented[1][5]. https://github.com/tadata-org/fastapi_mcp

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djangoproject

@djangoproject · Post #388 · 07/19/2017, 08:35 PM

https://www.youtube.com/watch?v=D-5V7s0GflU Look mum no hands! From blinking LEDs to a bike speedometer with #MicroPython In this talk I will show you how to use a micro-controller to build a wifi enabled speedometer for your bike, using MicroPython. And some hardware. And a bike (maybe). I will introduce you to the world of MicroPython: a python distribution that runs on micro-controllers. Micro-controllers are small computers that are all around us: in cars, TVs, and your internet connected fridge. We will start with making LEDs blink, then serve webpages, build an interrupt handler and finally put it all together to make a wifi enabled speedometer for a bike.

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djangoproject

@djangoproject · Post #513 · 11/30/2017, 10:00 PM

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