IoT and Device Control MCP Repositories

Connect AI models to real-time data and tools with features such as weather querying, Google search automation, camera control, and image generation. The server supports modular expansion and custom API integration for tailored functionalities.

Connect and control a Minecraft player using an AI assistant to navigate, mine, build, and interact with the Minecraft world. It supports advanced movement and inventory management features, as well as communication with other players on remote servers.

Control and monitor Home Assistant devices through MCP applications. Interact with device states, toggle devices, and trigger automations seamlessly.

Control and monitor Ecovacs cleaning robots through an MCP interface, enabling integration of services such as device listing, cleaning control, recharge control, and status queries into intelligent agents.

Enable natural language control and querying of the Hyprland Wayland compositor through its command-line interface, allowing management of windows, workspaces, monitors, inputs, and compositor layers via conversational commands.

Programmatic control over iOS simulators, enabling the listing of available simulators, booting and shutting down simulators, installing .app bundles, and launching apps by their bundle ID.

Connects AI assistants with smart home devices, enabling control and monitoring of Home Assistant entities through a straightforward interface. Integrates AI capabilities into smart home automation workflows.

Connects to the Tesla Fleet API to control Tesla vehicles, providing functionality to wake up vehicles, retrieve vehicle information, and access real-time updates and debugging tools.

Manage Android devices using ADB commands for installing, uninstalling, and controlling applications. Perform screen operations and input actions, with added support for visual model integration to generate screen descriptions.

Interact with Android devices to manage applications, files, and device settings directly from a development environment. Provides functionality for listing connected devices, installed packages, and inputting text on devices.

Integrates with Home Assistant to allow AI assistants to control devices, query states, and automate tasks through conversations, enhancing smart home management.

Create large, interactive displays using web technologies by leveraging customizable hardware and software components. AnyPixel provides a straightforward framework to turn spaces into engaging visual experiences with interactive elements.

Manage Aranet4 CO2 sensor data by scanning devices, collecting measurements, and storing them in a local database for historical querying and visualization. Provides assistance for configuration and automates data updates for ongoing monitoring.

Control Philips Hue smart lighting systems using natural language commands through an AI assistant. Manage individual lights, groups, scenes, and special effects with a local integration for a streamlined smart home experience.

Integrate with Home Assistant to manage smart home devices through a unified interface. Control lights, climate settings, locks, alarm systems, and humidity levels using various tools and prompts.

Expose Pi-hole functionality through a standardized protocol that enables management and querying of DNS settings and metrics. Integrates multiple Pi-hole instances and facilitates detailed data retrieval for enhanced DNS administration.

Control Apple Music on macOS through AppleScript commands, managing playback, searching for songs, and handling playlists efficiently.

Control Home Assistant devices using AI assistants through natural language processing. Manage entities, turn devices on/off, and adjust light colors and brightness with simple commands.

A self-hostable sandbox for executing commands, reading and writing files, and browsing the web across various platforms like iOS and Android. The server supports executing Linux commands and Python scripts, making it suitable for running complex analyses and generating documents like PDFs and diagrams.

Manage and control UniFi network devices using natural language through AI agents. Interact with your network by leveraging the UniFi Network API for intuitive device management.

Connects hardware devices with AI models using natural language commands, enabling real-time control and understanding of complex instructions. Integrates seamlessly with the Model Context Protocol (MCP) for resource management and tool invocation.

Connects AI models to MIDI-compatible software or hardware by sending MIDI sequences and control messages, while providing virtual MIDI output ports for integration with digital audio workstations and synthesizers.

Automates mobile applications across iOS and Android platforms using structured accessibility data and coordinate-based actions. Enables interaction with native apps, facilitating testing and data-entry workflows via LLMs for complex user journeys.

Control applications using LLM agents and integrate with tools like Claude-desktop or Cursor to automate tasks and streamline workflows.

Facilitates the integration of AI models with Home Assistant, enabling seamless interaction and control of smart home devices using the Model Context Protocol. Supports the custom component that will be incorporated into Home Assistant Core for enhanced functionality.

Translates natural language commands into ROS2 instructions for controlling the Unitree Go2 robot. Enhances robot interaction and automation using large language models to interpret user commands.

Connects IoT devices to AI models through MQTT, enabling natural language control and real-time interaction with physical hardware. Integrates the Model Context Protocol (MCP) for seamless communication between devices and AI.

Interact with iOS simulators to validate UI elements, control interactions, and inspect screens. Automate UI tests and capture screenshots to ensure quality assurance in applications.

Control and interact with aircraft in the GeoFS flight simulator. Access real-time flight data, execute maneuvers, and navigate between waypoints using AI models.

Provides automation capabilities for Android devices, including command execution, app management, and UI interactions such as clicks and text inputs. Supports seamless control of Android devices or emulators with integrated OCR and device management features.