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.

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.

DroidMind enables control of Android devices using AI through natural language commands. It facilitates tasks such as debugging, system analysis, and app management in an integrated environment with the Model Context Protocol.

The Video Still Capture MCP server allows AI models to access and control webcams to take still images and adjust camera settings using OpenCV, without streaming video.

Provides access to Shodan's API for querying detailed information about internet-connected devices and services, enhancing cybersecurity research and threat intelligence. Features include host information retrieval, advanced search capabilities, network scanning, SSL certificate data, and IoT device searches.

Control Govee LED devices using the Govee API, enabling management of lighting functionalities such as color changes and brightness adjustments.

Manage NodeMCU (ESP8266) IoT devices by monitoring their status, sending commands, and updating configurations in real-time. Integrates with AI tools through a standard RESTful API/WebSocket interface while implementing the Model Context Protocol.

Connect with various 3D printer management systems to control and manipulate prints, enabling tasks such as monitoring print status and managing print files.

Control Philips Hue lights using the OpenHue CLI in conjunction with Claude and other LLM interfaces. Facilitates direct interactions with smart lighting systems.

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.

Mirrors a smartphone's screen to a car's display, enabling the seamless transfer of mobile applications onto vehicle systems. It is designed for Android-based car platforms and requires ADB debugging to function.

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.

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.

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

Control Android devices programmatically by executing ADB commands, capturing screenshots, analyzing UI layouts, and managing device packages. Integrates seamlessly into development workflows for Android device management.

Facilitates real-time MIDI control and programmatic sound design for Elektron Digitone synthesizers, enabling interactions through AI models. Generate and modify various sound designs using the Digitone's capabilities.

Enables monitoring and remote control of Nvidia Jetson boards through natural language commands via network clients. Accesses hardware and software information using SSE transport for efficient management.

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.

Connects to a Coreflux MQTT broker to access various Coreflux actions and commands, enabling integration with MCP-compatible AI assistants. Facilitates discovery and execution of commands, rules, and routes using MQTT protocols.

Control audio playback on a computer, manage audio files, and ensure secure access through directory isolation.

Control an Android phone using ADB commands for tasks such as making calls, sending messages, managing contacts, and automating various phone operations directly from a computer.

Manage NodeMCU (ESP8266) IoT devices by monitoring their status, sending commands, and updating configurations remotely. Integrates with AI tools through a RESTful API/WebSocket interface and implements the Model Context Protocol for enhanced interaction.

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.

Connects hardware devices to AI models using natural language commands, enabling seamless control and real-time adjustments of physical parameters through intelligent responses.

Transforms natural language commands into ROS commands for robot control, facilitating complex task execution and environmental adaptation. Compatible with both ROS and ROS2 systems through WebSocket-based communication.