"Headless UI" matching MCP servers:

MCP server that interacts with the Phone Link Windows app via UI Automation to read messages, calls, notifications, and photos, and perform actions like sending SMS and making calls.

Enables debugging and automation of native Electron applications on macOS through DOM inspection, UI automation, global hotkeys, and Chrome DevTools Protocol integration.

Enables AI assistants to remotely control Sipeed NanoKVM hardware for BIOS-level management of servers and headless machines. It provides tools for power control, keyboard and mouse emulation, screen capture, and ISO image mounting via the Model Context Protocol.

Enables AI agents to operate a real GNOME Wayland desktop through accessibility-tree widget actions, pointer/keyboard input, OCR, window management, and screen capture, optionally on a private headless session.

MCP server exposing Windows desktop UI Automation as tools for AI agents, enabling automated interaction with Windows applications via Appium.

Enables AI agents to fully control Android devices through over 30 tools for app management, UI automation, and vision-based analysis via ADB. It supports multi-device management, action recording, and smart execution strategies ranging from UI hierarchy parsing to coordinate-based interaction.

Enables remote control of Android phones via Claude Desktop, offering 45+ tools including UI automation for app interactions.

Enables MCP agents to automate real GUI applications on headless desktops, providing background mouse/keyboard control, window/process management, screenshots, and safe human handoff without disturbing the user's desktop.

Enables AI assistants to send Windows toast notifications and dialog boxes, allowing them to actively notify users and request confirmations through native Windows UI.

An MCP server that allows AI agents to drive real Android devices via adb, capturing screenshots, reading the live UI tree, and performing actions like tap, swipe, and type.

Enables local Windows UI automation and screen capture, targeting windows that are difficult to automate such as games and legacy apps, with tools for window management, mouse and keyboard input, and desktop capture.

Enables AI agents to control Android devices via ADB, supporting gestures, input, screenshots, UI analysis, and app 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 remote control and automation of Android devices through the Model Context Protocol, supporting UI interactions, app management, ADB commands, screenshots, and device information retrieval via AutoBot API.

A Node.js application that enables programmatic interaction with WhatsApp desktop on macOS, allowing users to send messages and check WhatsApp status through AppleScript automation without direct UI interaction.

Enables AI agents to control Android devices through natural language, supporting app management, UI interaction, gestures, and system operations via uiautomator2.

An MCP server for headless Qt/PySide6 GUI testing that enables AI assistants to launch desktop applications via Xvfb and perform visual verification. It supports widget discovery, screenshot capture, and simulated user interactions like clicks, typing, and keyboard shortcuts.

Vision-based desktop automation MCP server that controls any application via screenshot and AI vision, enabling UI automation through natural language commands.

MCP server that fixes Windows DPI coordinate scaling for AI desktop automation. Provides UI element finding via Windows Accessibility APIs and coordinate conversion between physical and logical coordinate systems.

An enterprise-grade automation server that enables AI assistants to control Windows PCs through intelligent UI element detection, window management, and system-level commands. It leverages the Windows UI Automation tree for reliable interaction, providing tools for mouse/keyboard control, application management, and high-performance screen state analysis.