Windows Desktop Automation

Enables direct Windows desktop automation through native UI element detection, application launching, window management, clipboard operations, and PowerShell execution without requiring computer vision.

Windows MCP server by Jeomon George that enables AI assistants to directly interact with the Windows operating system through native UI automation and system control. Built using Python with uiautomation, pyautogui, and fastmcp, the implementation provides tools for launching applications, capturing desktop state with interactive UI elements, performing mouse and keyboard actions, window management, clipboard operations, and PowerShell command execution. The server uses UI automation to identify clickable elements, text fields, and scrollable areas without relying on computer vision, making it work with any LLM while maintaining 1.5-2.3 second latency between actions. Designed for AI agents performing desktop automation tasks, QA testing workflows, and general Windows system interaction where programmatic control of applications and UI elements is needed.