I connected Cursor IDE to a Raspberry Pi via MCP — controlled relays and read an I2C sensor in natural language
A developer has successfully integrated the Cursor AI IDE with a Raspberry Pi, enabling direct hardware control through natural language commands. This project bypasses traditional methods like SSH and custom scripting by utilizing the Model Context Protocol (MCP) to allow the AI to interact with the Pi's GPIO pins and sensors. The demonstration showcased the AI's ability to discover connected hardware, control relays, and read sensor data, highlighting a new paradigm for interacting with physical computing devices. AI
IMPACT This project showcases a novel application of AI in bridging the gap between software and physical hardware, potentially simplifying embedded systems development.