"Collaboration Between Multiple AIs via MCP (Master Control Program)" matching MCP servers:

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.

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.

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

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 AI assistants to flash firmware, program memory, modify option bytes, erase chips, reset boards, and capture SWO printf traces for STM32 microcontrollers via STM32CubeCLT.

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

Enables AI tools to program Microchip AVR microcontrollers via natural language by wrapping pymcuprog, supporting USB HID debuggers and serial UART UPDI adapters.

Enables LLM control of Moku devices through network discovery, connection management, configuration deployment, and signal routing. Supports graceful ownership handoff between different interfaces (CLI, iPad, LLM) for seamless workflow integration.

MCP server for Nordic Semiconductor's Power Profiler Kit II (PPK2), enabling current measurement and device control via 12 tools from Claude.

Enables AI agents and developers to bridge to FT260/FT260Q hardware over USB HID, allowing direct control of I2C master, UART, GPIO, and external interrupt interfaces.

AI-driven USB oscilloscope control via FastMCP, enabling waveform capture, CSV export, and frequency measurements on PicoScope, Hantek, or a built-in simulator.

Enables AI agents to control TriCore/AURIX debug sessions, including workspace loading, target connection, flashing, run control, breakpoints, and reading variables, registers, memory, and call stacks via the UDE Object Model.

Enables AI assistants to control Commodore 64 Ultimate hardware via REST API, supporting program execution, memory operations, disk management, audio playback, and device configuration through natural language commands.

Enables agents to query LAVA board farms, submit and manage test jobs, and open interactive board sessions via the LAVA REST API.

MCP server for programmable bench power supply control, enabling autonomous bootloader-entry probing via precise power cycling and telemetry.

MCP server for ADALM2000 (M2k) — AWG, scope, and PSU control via FastMCP 3.4.

Enables remote control of Siglent SPD3303X DC power supplies via SCPI over TCP/IP, supporting output control, measurement, timers, and network configuration.

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).

Enables AI agents to control serial port devices (modems, instruments, embedded boards) via MCP tools for listing ports, connecting, and sending/receiving commands.