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drydraft

windows-desktop

by drydraft

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Alternatives to windows-desktop

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    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables MCP clients to observe and control Windows desktop applications by reading UIA element trees and capturing screenshots, then acting through UIA patterns or synthesized mouse and keyboard input. It runs standalone on an interactive Windows session, without requiring the original host application.
      1
      -
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI clients to inspect and control allowlisted Windows applications using screenshots, mouse actions, Unicode keyboard input, UI Automation, and an Esc/F12 emergency stop.
      1
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables an AI client to inspect and control an interactive Windows desktop, including screenshots, mouse and keyboard input, Windows UI Automation, PowerShell commands with managed jobs, and authenticated file uploads/downloads. Connects over remote MCP Streamable HTTP or local stdio without a separate host-side gateway.
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI clients to see and control a Windows desktop through screenshots, built-in OCR, mouse and keyboard input, and accessibility trees read via UI Automation, MSAA and Chrome DevTools Protocol. It also manages windows, virtual desktops and element-level actions such as invoking controls or setting values, running on Node.js with the PowerShell that ships with Windows.
      3
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables an MCP host to observe and control Windows desktop applications deterministically: reading UIA control trees, OCR text and pixel diffs, clicking, typing, scrolling and window management, plus verbatim text reading/appending via ValuePattern/TextPattern. Visual judgment is delegated back to the host model's own multimodal context through annotated screenshots, numbered element cards, grid maps and crosshair zoom-ins, so no separate vision model is needed.
      AGPL 3.0