ESP MCP Server

ESP MCP Server

An MCP server that integrates ESP IDF commands like building and flashing code for ESP Microcontrollers using an LLM.

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Overview

This repository hosts a Proof of Concept (PoC) MCP server tailored for ESP-IDF workflows. It aims to consolidate ESP-IDF and related project commands in one place and to simplify interaction through direct LLM communication. Current capabilities include basic ESP-IDF project build commands, the ability to flash built firmware to connected ESP devices with an optional port specification, and experimental support for automatic issue fixing based on build logs. The MCP is designed to be configured and run by connecting it to an MCP-enabled chatbot or agent. A configuration example in the README shows how to run the server with uv or Python, point to the repository, and set IDF_PATH to the root of your ESP-IDF installation. Usage examples illustrate how an LLM might request building, cleaning, and flashing projects. This project is described as a PoC and envisions future expansion to broaden ESP-IDF command coverage, add device management and information retrieval, and integrate with other tools and platforms (e.g., home assistant ecosystems).

Details

Owner
horw
Language
Python
License
Updated
2025-12-07

Features

ESP-IDF build command support

Supports basic ESP-IDF project build commands via the MCP, enabling idf.py build workflows.

Firmware flashing to ESP devices

Flashes built firmware to connected ESP devices, with optional serial port specification.

Automatic issue fixing from build logs

Experimental support for automatically fixing issues based on build logs.

Consolidated ESP-IDF command hub

Centralizes ESP-IDF and related project commands in a single MCP interface.

Expanded ESP-IDF command coverage

Plans to add support for monitor and menuconfig commands where feasible.

Device management and information retrieval

Future capability to manage connected devices and retrieve device information.

Integration with other tools/platforms

Future plan to integrate with other embedded tools and platforms, including Home Assistant ecosystems.

Audience

Embedded developersUse the MCP via an LLM to build, clean, and flash ESP-IDF projects.
LLM integratorsIntegrate the MCP into chatbots or agents to drive ESP-IDF workflows.