Enables MCP-capable AI agents to control Windows desktops through UI Automation element trees, native screenshots, app launching, batched action sequences, smart waits, and safety gates using normalized coordinates.
Enables agents to control Windows desktop applications through UI Automation and Win32, supporting window management, mouse/keyboard input, element inspection, screenshots, OCR, macro recording, and autonomous multi-app missions. It also provides an HTTP/stdio MCP interface, an operator UI, and optional telemetry and safety controls.
Enables comprehensive Windows desktop automation including screen capture, OCR text extraction, mouse/keyboard control, window management, process control, and clipboard operations through 25+ tools for AI agents.
Enables agentic control of Windows via MCP tools for screenshots, mouse, keyboard, UI Automation, OCR, windows, and clipboard, while risky actions require real-human approval through a policy-gated dialog with audit logging.
Enables native Windows desktop automation through MCP by capturing screens with Set-of-Marks grounding, dispatching clicks, typing, hotkeys, and scrolling, managing windows and background sessions, and verifying actions with a visual safety oracle and Merkle audit trail.
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.
