Enables reading and interacting with native Windows application UI through the UI Automation API, allowing listing windows, extracting structured content, and performing clicks/typing without screenshot-based vision.
Enables an AI to see and drive any Windows application through the accessibility tree - reading real element names, states and actions and invoking the app's own controls without screenshots or moving the mouse, even for windows behind others. Also exposes 200+ native Windows tools for system health, hardware, network, privacy, files, processes, registry, media and more.
Enables MCP clients to observe and control the Windows desktop through the UI Automation accessibility tree — no vision model required — by exposing tools for reading windows and interactive elements, clicking, typing, scrolling, shortcuts, PowerShell, screenshots, virtual desktops, web scraping, file operations and persistent memory, including background-window control without stealing focus. An optional agent mode adds a single natural-language task tool that runs the full upstream agent loop when an LLM provider is configured.
Drives Windows applications through the UI Automation accessibility tree, enabling element discovery and interaction without screenshots or coordinate guessing.
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 inspect and drive native Windows desktop applications (WinForms, WPF, WinUI 3, and WebView2 hybrids) through Microsoft UI Automation by capturing interactive control snapshots, then clicking, filling, and asserting on elements via ephemeral refs or semantic screen-map targets. Mutating actions are dry-run by default and gated behind explicit arming, allow-lists, and a kill switch for lawful, assisted QA testing.
