"A platform for version control and collaboration on software development projects" matching MCP servers:

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.

Enables AI agents to control hardware devices like Arduino, Raspberry Pi, 3D printers, CNC machines, and custom robots via serial ports and HTTP. Provides tools for device discovery, command sending, sensor reading, servo control, G-code execution, and emergency stops with safety features.

MCP server for running shell commands on a Linux development board via UART serial.

Enables automated generation of FreeRTOS embedded projects for chips like BK7252, STM32F4, and ESP32. Provides intelligent project structure creation, peripheral driver code generation, and complete embedded development workflows through natural language interaction.

Enables LLM clients to control a LEGO Mindstorms NXT brick over USB, providing tools for motor movement, sensor reading, and querying device state.

MCP server for controlling PowerExchange/Fancy Control devices via HTTP. Provides tools like tilt, shock, beep, and various training modes.

Connects MCP clients to live EasyEDA Pro projects, enabling schematic and PCB inspection and editing through natural language.

Enables AI clients to compile and upload Arduino sketches, manage boards, cores, and libraries via arduino-cli, scaffold projects, and read serial output over stdio.

Bridges Claude Code to CNCjs to enable remote control and monitoring of GRBL-based CNC machines. It provides a comprehensive toolset for managing G-code jobs, machine movement, and safety operations through natural language.

Enables users to manage Android ROM projects through MCP by importing, unpacking, repacking, and synthesizing images, DAT/BR files, and super partitions using the toolkit’s shared workflows.

Runs a Model Context Protocol server directly on Axis cameras, enabling any MCP-capable AI to inspect and control the camera without cloud or middleware.

Automates the Sigmatek LASAL software suite for PLC and HMI engineering, enabling AI assistants to inspect projects, apply structural changes, compile, download to hardware, and control PLC runtime.

Enables LLMs to interact with embedded devices by reading and writing Segger RTT data through a J-Link debugger.

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.

Enables programmatic control of the Yingjia EMK850+ low-power analyzer via a serial port, exposing FastAPI endpoints for reading power, version, configuration, clearing the baseline, and managing the serial port.

A Model Context Protocol server for HarmonyOS development, enabling AI assistants to interact with HarmonyOS projects, devices, and applications.

Enables driving any installed CODESYS 3.5 version (SP18–SP22) from a single MCP server, automatically selecting the right install from each project file's saved version. Exposes 127 tools covering project and POU authoring, compile, online/runtime control, devices and tasks, symbol configuration, multi-device projects, and a version plus git release pipeline.

Enables AI agents to control USB power for embedded development boards via Yepkit YKUSH hubs, allowing power switching, monitoring, and power-cycling through MCP tools.

MCP server for TwinCAT 3 PLC development enabling AI coding agents to build, configure, deploy, and debug TwinCAT PLC projects through a standard tool interface.

MCP server that translates natural language commands into SCARA robot arm control instructions, featuring simulation mode, safety validation, and multiple transport modes (STDIO/HTTP/OAuth).