"A device or tool to control Home Assistant" matching MCP servers:

A Model Context Protocol server that integrates with Home Assistant to provide smart home control capabilities through natural language, supporting devices like lights, climate systems, locks, alarms, and humidifiers.

A Model Context Protocol (MCP) server for seamless integration with peripheral devices connected to your computer. Control, monitor, and manage hardware devices through a unified API.

Enables control of home and PC tasks: smart desk lights, Pixel Clock alarms and timers, media playback and volume, launching desktop applications, shutting down the computer, and running mari activity commands.

Enables controlling a real iPhone or iPad over USB for app development testing, including building and installing apps, launching with console logs, inspecting the accessibility tree, tapping, swiping, typing, taking screenshots, managing app files, and recording audio.

Enables coding assistants to drive iOS Simulators and Android emulators or USB devices for React Native and Expo work, including taking screenshots, reading app and device logs, opening deep links, installing builds, and launching or relaunching apps. It also supports Android-specific actions such as adb reverse for Metro, opening the dev menu, and tapping or typing on screen.

An MCP server that lets Claude Desktop and Claude Code control your PC — take screenshots, click, type, manage windows, and more.

Enables MCP clients to securely inspect and control registered Windows PCs over a private Tailscale network, with risk-based approvals for actions such as launching apps, capturing screens, managing files, and simulating input.

A safety-oriented Model Context Protocol (MCP) server for inspecting, controlling, diagnosing, and selectively administering a Home Assistant instance.

Enables LLM agents to monitor Mac thermals and control fan speed with safety limits enforced by a root daemon.

Let AI agents operate a real USB-connected iPhone from Linux — no Mac, no jailbreak, no paid developer account. Screenshots, taps, swipes, text input, element tree and app control via WebDriverAgent, with CoreDevice HID fallback.

A local stdio MCP service that lets an authorized AI assistant see and operate one Android phone through ADB, with screenshots, on-device OCR, text/coordinate taps, swipes, and app launching, plus optional scrcpy-based Chinese and emoji input. Includes zoomed inspection, a 0-1000 coordinate ruler, and crosshair preview with post-tap feedback so actions can be verified against the real screen.

Provides full control of a macOS system, enabling AI agents to execute shell commands, run AppleScript, manage files and processes, and perform human-like GUI interactions such as clicking, dragging, scrolling, and typing, with a screenshot-based perception loop.

Enables MCP clients to open and close applications, files, and folders on a Windows machine, manage running apps and File Explorer windows, control Chrome tabs, and perform system actions like shutdown and restart.

Enables a macOS MCP client to control a real iPhone through CoreDevice services, including screenshots, normalized taps and swipes, text entry, hardware-button presses, and app launching or listing.

Enables management of Palo Alto firewalls through their REST API, including system information retrieval, PAN-OS upgrades, HA firewall management via Panorama, content updates, and certificate management.

MCP server that enables AI to fully control macOS — mouse, keyboard, terminal, screenshots, window management, UI element detection, and provides AI-optimized information reporting.

Enables comprehensive Android device control over ADB, including UI automation, screen capture/recording, app management, file operations, and log/notification access, with a built-in permission system.

Enables computer control via mouse, keyboard, OCR, and screen/window management, similar to Anthropic's computer-use.

Enables local AI clients on Windows to automate desktop and system tasks via MCP stdio, CLI, or optional localhost HTTP, including screenshots, mouse and keyboard input, files, processes, registry, and accessibility-tree window interactions, with local-only execution and no cloud fallback.

Enables AI agents to drive a connected Android phone over ADB with 28 tools covering screenshots and UI inspection, taps/swipes/typing, app install and launch, file transfer, wireless pairing, and one-call scripted flows like tap-by-text and wait-for-text.

Provides native macOS desktop automation for AI agents, enabling screen capture, mouse/keyboard control, window management, and iOS/Android simulator control in both foreground and background modes without focus stealing.

Enables AI services like Claude and Cursor to remotely control a Mac by executing shell commands, managing files, and running AppleScript for UI automation. Access is secured through OAuth 2.0 authentication and encrypted tunnels to protect remote interactions.

Lets an MCP client see and control apps on a local X11 Linux desktop by clicking, typing, scrolling, dragging, and pasting text, with a visible Stop control that returns input to the user.

MCP server that provides computer control capabilities including mouse movements, keyboard actions, screenshot capture with OCR, and window management through a unified API.

Enables AI agents to operate websites and Windows desktop applications by reading and acting on webpage elements, exposed UI controls, and screenshots with mouse and keyboard input. Combines browser, desktop, and computer-control channels in a single task, with an optional target selector for batched actions.

Exposes home automation and PC control tools from the Jarvis vocal assistant to any MCP client, such as Claude Desktop or Hermes.

MCP server that gives Claude Code full mouse, keyboard, and app control on macOS. Tell Claude what to do and watch it operate your computer.

Enables controlling an Android device from an MCP client via ADB, including wireless debugging discovery, UI-tree inspection, and performing taps, swipes, typing, app actions, and shell commands without relying on screen coordinates.

Enables an assistant to visually monitor a selected desktop window through screenshots and perform mouse and keyboard actions, with visual feedback for each step.

Enables GUI automation by capturing screen, controlling mouse/keyboard, and targeting controls via accessibility layer; optionally supports voice commands and synthesis.