"Using AI to control and access data from Home Assistant and smart home devices" 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 SSH and UART/serial port access for Claude Code to directly control remote devices like Raspberry Pi, embedded systems, and IoT devices. Supports command execution, file transfers via SFTP, and serial communication.

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.

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 program MicroPython boards such as Raspberry Pi Pico and ESP32 through Thonny, with visible shell commands and optional human approval.

Enables AI agents to observe and control a browser-based 2D robot simulator, including driving, configuring sensors and modules, running programs, and generating wiring, firmware, and parts lists for ESP32, Arduino Uno, or Raspberry Pi.

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

Enables AI assistants to control Saleae Logic analyzers, capture and analyze digital/analog signals, and export data via MCP.

Provides read-only MCP tools for parsing KiCad netlists and schematics, running evidence-based audits, and generating deterministic sizing and BOMs.

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.

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

A professional MCP server for serial port communication, enabling AI assistants to list, connect, send/receive data, and manage serial connections with embedded systems, IoT devices, and hardware debugging hardware.

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 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.

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

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 turn natural-language hardware prompts into deterministic schematics and netlists, query live LCSC parts data, validate designs, calculate trace impedance, and estimate PCBA BOM costs through stdio MCP tools and resources.

Enables GDB debugging for embedded development workflows, allowing users to start sessions, load programs, set breakpoints, step through code, and examine memory/registers/variables via natural language.

Reads LAN devices and WAN status from a Huawei GPON ONT fiber modem.

MCP server for inspecting PX4 ULog flight logs, enabling AI assistants to understand, debug, and reason about drone systems.

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

Deterministic, local-first MCP server for IDA Pro and IDA Home, exposing 109 strict-schema operations for reverse engineering with policy-gated mutations, evidence tracking, and broad AI-client support.

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.

Enables AI clients like Claude to control physical hardware devices including GPIO pins, robotic arms, grippers, and sensors through the RegenNexus Universal Adapter Protocol.

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 control of Digilent WaveForms instruments (oscilloscope, AWG, logic analyzer) over USB, supporting devices like Analog Discovery 2/3 and Digital Discovery.

Connects AI assistants to physical devices via MCP, enabling LLMs to reason about sensor data, perform cross-device correlation, and interpret anomalies.

Enables AI agents to communicate with UART/serial devices, offering tools for port management, data read/write, and protocol handling.