"Creating an MCP (Master Control Program) with any API" 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.

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.

Controls a running KiCad 9+ instance via the official IPC API, enabling board edits, queries, and exports without reload.

An MCP server that lets AI agents control an RS PRO RS-3005P/RS-6005P programmable DC power supply over USB/RS232, enabling voltage/current control, measurements, output switching, and memory operations.

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

Control a Siglent SPD1305X (or SPD1000X series) programmable DC power supply from Claude Code over Ethernet using SCPI commands, with safety limits and monitoring tools.

Enables AI agents to program, debug, and diagnose STM32H7S3 microcontrollers through SEGGER J-Link, with stateful debug sessions, memory/flash operations, GDB integration, RTT logging, and safety controls.

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.

An MCP server that gives AI agents end-to-end control of KiCad 9+ for rule checks, manufacturing exports, production-readiness certification, and live PCB editor control.

Enables AI assistants to control an STM32 microcontroller over serial by reading/writing GPIO, setting LED brightness, reading ADC channels, and displaying text on an OLED screen via natural language.

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.

Enables AI agents to control an ESP32-C3 audio client via MQTT for playing, pausing, and managing music from an HTTP library, with support for playlists and volume control.

Enables natural language control of an esieabot robot (motors, servo, camera) through Claude Desktop or MCP Inspector.

An MCP server that lets AI agents interact with Siemens TIA Portal via its Openness API.

Provides AI agents with instant, structured access to electronic component datasheets, pinouts, and electrical specifications without requiring PDF uploads. It enables seamless part searching, design validation, and side-by-side component comparisons across major hardware providers.

An MCP server that lets an AI assistant manage your Keenetic router in plain language — list connected devices, pin static DHCP leases, rename devices, check WAN status, and reboot.

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).