Automates the generation, compilation, and uploading of Arduino, ESP8266, and ESP32 firmware using local Large Language Models and Arduino CLI.
This intelligent backend server bridges the gap between natural language and embedded programming by leveraging local Large Language Models (LLMs) via Ollama and automating firmware processes with Arduino CLI. It allows users to generate, compile, and upload Arduino, ESP8266, and ESP32 sketches using simple natural language prompts, streamlining the development workflow for IoT and microcontroller projects. Designed with partial adherence to Model Context Protocol (MCP) principles, it aims to evolve into a reusable, standards-friendly backend for efficient embedded LLM workflows.