Enables Windows UI Automation through MCP, allowing agents to inspect, search, navigate, and interact with desktop UI elements via the UIAutomation framework. Supports actions such as focus, invoke, set-value, toggle, and event waiting, with CLI and VS Code extension variants.
Enables automation of native Windows desktop applications through screen capture, mouse/keyboard control, and waiting for UI changes, exposing them as MCP tools.
Provides automated GUI testing and control capabilities through an MCP server that enables mouse movements, keyboard input, screen captures, and image recognition across Windows, macOS, and Linux.
Vision-based desktop automation MCP server that controls any application via screenshot and AI vision, enabling UI automation through natural language commands.
Enables AI clients to automate Windows desktop applications through window manipulation, image recognition, OCR, keyboard/mouse simulation, and memory operations via the MCP protocol.