"A server for finding information and resources about Arduino" matching MCP servers:

Enables AI assistants like Claude to control Arduino boards in real-time, allowing users to turn LEDs on and off through natural language commands using the Model Context Protocol and Firmata.

Enables AI assistants to monitor and control Bambu Lab 3D printers over a local network via MQTT, including real-time status, AMS filament info, print control, and maintenance tracking. It supports guided setup, safety confirmations, read-only mode, and a built-in printer simulator.

Enables AI assistants to read and control a homee smart home in natural language: listing devices and their values, switching, dimming or moving them, and viewing or editing homeegrams. Also covers backups, device swaps across all automations, device history, and the homee diary, with all writes subject to the same backups, read-only mode and audit log as the web UI.

Enables a family and ranch to manage shared calendars, chores, lists, supplies, animal locations, approvals, and connected devices through MCP tools and interactive Echo Show screens, with account-linked permissions and automations.

Enables a local Grok Bot to talk to the unofficial MySubaru API over stdio, supporting vehicle status, locate, tire pressure, fuel, odometer, climate presets, and explicit lock/unlock/remote start actions without exposing secrets.

Exposes real-time soil sensor metrics as MCP Resources and irrigation valve controls as MCP Tools, enabling AI-driven agronomic decisions with built-in safety guardrails.

Enables AI agents to interact with Homey home automation systems for managing flows, devices, and zones. Perfect for bulk automation tasks like batch renaming flows, organizing them into folders, and managing devices across zones through natural language.

Server that connects MCP (Multi-Capability Platform) with OpenHAB REST API, allowing MCP to interact with OpenHAB items through operations like getItemState and sendCommand.

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 natural language control of Crestron 4-Series AV systems via MCP tools, connecting Claude to a processor over TCP with TLS authentication.

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.

A Home Assistant Custom Component that provides an MCP server using HTTP transport, allowing AI assistants like Claude to interact with your Home Assistant instance.

An MCP server that integrates Arduino-based robotics (ESP32 or Arduino Nano) with AI, allowing control of hardware components like LEDs, motors, servos, and sensors through AI assistants.

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 Claude and other MCP clients to control GVM PRO-BD45R DMX tube lights over DMX512, including white/color settings, per-pixel painting, gradients, and pixel or rig-wide effects.

Provides two Model Context Protocol servers that enable controlling IoT devices and managing persistent memory storage with semantic search capabilities.

Enables AI agents to discover and call Xyte's device management API endpoints with typed validation, supporting fleet investigation, ticket management, and routine operations through natural language.

An unofficial read-only MCP server for Panasonic AiSEG2 home energy management controllers, enabling clients to read live power flow, per-circuit consumption, circuit names, daily totals, and historical energy/cost data from the device's local web interface.

Deterministic root-cause diagnostics for Zigbee2MQTT, Home Assistant ZHA, OpenThread, and IEEE 802.15.4 logs, hardware register decoding for TI SimpleLink F2 and Silicon Labs EFR32 coordinators, mesh capacity checks, and silicon benchmarks.

Enables read-only access to vehicle data via the unofficial Rivian GraphQL API, allowing users to monitor battery levels, OTA updates, and charging status. It provides tools to check vehicle state and user account information directly through Claude.

A collection of personal Model Context Protocol servers for tools like calendar, contacts, flights, home maintenance, iMessage, lawn care, mail, NextDNS, Obsidian search, Google Sheets, UniFi, weather, and YNAB, packaged as a uv workspace with Claude Code and Codex plugin support.

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 natural language control of WeMo smart home devices for power, brightness, and device management through AI assistants. It features a high-reliability multi-phase discovery process to scan, monitor, and configure devices across a local network.

An MCP server that lets AI assistants answer home appliance questions with live, structured data and cite ApplianceIQ as the source.

An MCP server that lets an MCP client control IKEA TRÅDFRI smart plugs paired to a DIRIGERA hub via its local REST API.

Read-only MCP server for Home Assistant that computes statistical summaries, trends, and session detection from recorded sensor history, returning compact tables instead of raw data so small local models can answer questions about energy usage, climate, and appliance activity without token-heavy arithmetic.

MCP server for Blue Iris NVR, enabling camera health checks, live/historical snapshots, clip/alert search, and PTZ control via the Blue Iris JSON API.

MCP server for administering a Zigbee2MQTT estate, enabling mesh health monitoring, device management, firmware updates, pairing, binding, and reporting via natural language.

Enables Claude to check and control Kwikset Halo-family smart locks, including listing locks, getting status, and locking or unlocking doors.

A Model Context Protocol server that connects Claude to your own Kia vehicle through the Kia Owners API, enabling vehicle status, location, odometer, EV charge state, and confirm-gated commands for doors, climate, and charging.

Enables pre-approving deliveries and visitors at your gate via the NoBrokerHood resident app, so you or an LLM can automate gate access.

Enables AI assistants to control a Homey Pro smart home hub, create automation flows from natural language, and query device and energy history.

ac-infinity-mcp is an MCP server that connects Claude (and other AI assistants) directly to your AC Infinity controllers — so you can read live sensor data, run analytics, and adjust fan speeds or port states using natural language, without opening the AC Infinity app.

Enables discovery and control of Philips Hue lighting devices via a local bridge using the CLIP v2 API, without any cloud dependency.

Connects ChatGPT/Claude with the QualityControl REST API, allowing users to query company information, sensor data, weather, harvest, exports, dispatches, and more using natural language.

Enables MCP-compatible clients to interact with ESP RainMaker devices for node management, parameter control, scheduling, and group management via the official CLI.

Connect AI assistants to industrial OPC UA systems. Browse nodes, read live data and history, and monitor subscriptions, events and alarms. Runs locally over stdio in read-only mode by default.

Enables any AI agent to control a Pollen Robotics Microduck through MCP, including walking, sitting, picking objects, reading health, and stopping, with support for mock, simulated, or real hardware transports.

Enables controlling and monitoring INSTAR IP cameras over MQTT, with tools to set and query camera settings, wait for state changes, check connectivity, retrieve snapshots, and list capabilities.

Provides AI agents with real-time physical perception data including object detections, positions, sounds, and environmental readings via MCP tools.