"Arduino" matching MCP servers:

A local stdio MCP server wrapping arduino-cli to let agents detect boards, manage cores/libraries, compile and upload sketches, and communicate over serial, enabling hardware control without shell gymnastics.

Enables AI agents to detect boards, manage cores and libraries, compile and upload sketches, and perform serial I/O through a local MCP server.

Enables AI assistants to compile, upload, and monitor Arduino boards via natural language, with electrical safety checks and dependency management.

Automates Arduino CLI workflows including dependency checks, compile/upload, serial monitoring, and safety preflight checks, all running locally on your machine.

A comprehensive Model Context Protocol (MCP) server for Arduino CLI interactions, built with FastMCP. This server enables AI agents to seamlessly interact with Arduino CLI for development, debugging, code verification, and more.

MCP server for Arduino IDE 2.0 sketches. It exposes a small REST API plus an MCP stdio bridge so agents can read and write the main .ino file, list sources, and optionally compile with arduino-cli.

Enables interaction with Arduino development through arduino-cli, allowing sketch management, code compilation and uploading, library and board operations, serial monitoring, and AI-powered circuit diagram generation using WireViz.

Provides electronics engineering tools for resistor color decoding, capacitor calculations, and GPIO pin reference for ESP32, Arduino, and STM32 boards.

Enables AI agents and humans to control various hardware boards (ESP32, Arduino, Raspberry Pi, etc.) through a unified API via MCP, with real-time dashboard support.

MCP server for firmware verification in MCU development, exposing a five-stage pipeline (Detect, Review, Build, Flash, Verify) as tools for AI agents to compile, flash, and verify firmware on Arduino boards.

A fully local MCP server for Mixly that lets AI clients discover boards, scan blocks, build/validate/open projects, generate code, and compile via Arduino CLI—all without uploading source or relying on a remote server.