"A device or tool to control Home Assistant" matching MCP servers:

Enables MCP-speaking coding agents to talk directly to Home Assistant and the ESPHome dashboard: discovering entities and areas, reading live states, history and logs, rendering Jinja templates, calling services, and creating, editing or triggering automations and dashboards. Also allows ESPHome device configs to be read, validated, compiled and flashed, with all write operations off by default behind an explicit safety policy.

Enables a Dot to publish short chat summaries and multiple-choice questions to an ESP32 touchscreen, read persisted touch answers, record receipts, and inspect status through Secure MCP Tunnel.

Enables agents to turn a plain-language description of a device into a complete, validated build package — parts list, 3D-printable parts, wiring, firmware code, picture assembly guide, and tests — that anyone can assemble without electronics experience.

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 AI agents to perceive and quantitatively verify physical hardware through USB webcams and RTSP/HTTP network streams, returning inline image content plus numerical metrics such as brightness, contrast, edge density, motion, SSIM baseline comparisons, and OCR text. Agents can watch feeds for visual conditions, correlate buffered frames with serial/log/MQTT events, and apply privacy masks and access controls.

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 interact with physical serial port devices across platforms (Windows COM/Linux tty) with support for asynchronous communication, URC pattern recognition, and structured logging.

All-in-one developer tool and MCP Server for Roku development, featuring ECP device control, automated channel sideloading, BrightScript debugging, and real-time log monitoring.

Enables AI agents to search a catalog of MCP servers for physical hardware such as ESP32, Arduino, Raspberry Pi, 3D printers, Home Assistant devices, cameras, Zigbee and lab gear, returning install commands and ready-to-paste client configs. It also supports browsing device families and getting ranked recommendations for a specific device or model.

Enables AI agents to control a tinySA spectrum analyzer over USB, discovering the device, capturing or scanning spectra, configuring RBW/attenuation/units, and finding peaks, with CSV and JSON exports. It runs headless with automatic port detection and no GUI or network listener.

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

Enables LLM agents to securely monitor and control MQTT devices for building automation, industrial control, and smart home systems through a standardized MCP interface.

An MCP server for controlling Rigol oscilloscopes from an AI assistant. It translates MCP tool calls into SCPI commands over PyVISA.

Enables LLM agents to control Qualcomm EDL devices speaking the Firehose protocol, including partition read/write/erase, storage info queries, raw XML commands, and device reset.

MCP server that lets AI agents configure the EDU09 USB oscilloscope, acquire and measure waveforms, and export them over stdio or streamable HTTP. It can run against real hardware, a built-in simulator, or bridge to a GUI that already owns the device.

MCP server that lets AI agents control ESP32-based OnlyClaws hardware (servo/robotic claw) over serial, exposing motion and device-control tools.

Bridges a RisalDash ESP32/ESP8266 device to MCP — every dashboard widget becomes a get_/set_ tool, so an agent can read sensors and toggle relays.

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.