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Alternatives to grok-computer-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to observe and control the user's live desktop by listing apps, reading accessibility trees, and performing clicks, typing, scrolling, dragging, and other input actions with per-action approvals and local audit archives.
      1
      MIT
    • A
      license
      C
      quality
      C
      maintenance
      Enables agent-native desktop control by driving mouse, keyboard, and interface elements through accessibility-first semantic operations, with fallback to screen coordinates when accessibility cannot reach a target.
      30
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables the model to observe and control the live desktop via accessibility trees and screenshots, performing actions like clicking, typing, scrolling, dragging, and setting values.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      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.
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables an agent to see and operate a GNOME Wayland desktop like a human, including screenshots, mouse/keyboard control, accessibility tree access, OCR, clipboard, and audio listening.
      13
      MIT
    • A
      license
      B
      quality
      A
      maintenance
      This server enables AI agents to operate Windows and Linux computers by observing the screen, understanding the UI through accessibility, OCR, and vision, and performing mouse, keyboard, window, clipboard, and system actions with verification and recovery.
      29
      1
      MIT

    TDQS

    A3.8/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool targets a clearly distinct action: observe for perception, wait_for for synchronization, locate for model-based grounding, and click/type_text/press_keys/scroll/drag for distinct input primitives. The observe/wait_for/locate trio is well-differentiated by intent and fallback role, so an agent can reliably pick the right one.

    Naming Consistency4/5

    Mostly consistent lower_snake_case, with verb_noun forms (wait_for, type_text, press_keys) and clean single verbs (observe, click, scroll, drag, locate). The lone noun-style name 'apps' deviates slightly, but it is readable and unambiguous.

    Tool Count5/5

    Nine tools is well-scoped for a GUI automation server, with each input modality (click, type, keys, scroll, drag) and perception path (observe, wait_for, locate) earning its place. No redundant or filler tools.

    Completeness4/5

    The surface covers perception, waiting, all major input primitives, app lifecycle, and a grounding fallback, which is strong for GUI control. Minor gaps remain, such as explicit double-click/hover, clipboard, or screenshot-only capture, though observe's som/screenshot modes partially mitigate this.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues