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.

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

Automate network analysis and manage OpenFlow devices using a Python-based interface while tracking active components, network topology, and flow rules.

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

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.

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.

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

Control computer functions programmatically using mouse and keyboard interactions, screen capture, and OCR capabilities. Integrate automation for clicking, typing, window management, and text extraction from screenshots to enhance workflows.

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.

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 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.

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.

Manage and execute Python code in Unreal Engine environments, with automatic discovery of Unreal instances and real-time monitoring of their status. Provides robust logging capabilities and support for remote execution in both attended and unattended modes.

Integrates with the MQTT messaging protocol to facilitate dynamic interaction with AI models via messaging. Enables communication and resource management for LLM applications utilizing MQTT.

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.

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

Shares access to a local Home Assistant instance to enable natural language control and monitoring of smart home devices using the Model Context Protocol (MCP). Provides an API for managing device control and system administration within the Home Assistant ecosystem.

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.

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

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

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.

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.

Enables AI assistants to control robots through ROS 2 topics using natural language commands, executing movement as timed velocity commands on robots. It processes commands and publishes geometry_msgs/Twist messages to manage robot movements efficiently in both simulation and real environments.