Skip to main content
Glama

Related Servers

Alternatives to da-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      MCP server providing AI-friendly computer-use primitives (capture, detect, click) to let LLM agents drive desktop GUI applications on Windows, macOS, and Linux.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      An MCP server that gives any AI assistant eyes and hands on your desktop — screenshots, clicking, typing, OCR, window management, accessibility-tree queries, workflow recording.
      5
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Gives AI agents and MCP clients direct control over native desktop apps, Chrome/Electron browsers, and Android devices with screenshots, OCR, accessibility-based element lookup, input simulation, window management, CDP, and ADB in one local server.
      130
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      A desktop automation MCP server that enables AI agents to interact with Linux environments through screenshots, window inspection, and input simulation. It provides tools for mouse control, keyboard input, and screen capture using xdotool and XDG Desktop Portals.
      MIT

    TDQS

    A3.6/5.0

    Scored across 20 tools

    Disambiguation5/5

    Each tool targets a distinct action and resource: mouse positioning vs. clicking vs. dragging, text finding vs. clicking text vs. waiting for text, window listing vs. focusing vs. waiting. Even similar tools like da_find_text and da_click_text are clearly differentiated by whether they click, and da_move_mouse vs. da_drag is clarified by the button-hold behavior.

    Naming Consistency3/5

    All tools share the da_ prefix and snake_case, but the pattern varies: most are verb_noun (da_move_mouse, da_list_displays), some are bare verbs (da_click, da_scroll, da_key), and a few are object-first (da_window_list, da_window_focus) or verb_prep_noun (da_wait_for_text, da_wait_for_window). This mix is readable but not fully predictable.

    Tool Count4/5

    20 tools is on the high side, but the desktop automation domain genuinely requires coverage for mouse, keyboard, windows, displays, OCR, screenshots, and launching. Every tool earns its place and the count feels justified rather than bloated.

    Completeness4/5

    The surface covers core desktop automation workflows well: input, text location, window focus, waiting, and launching. Minor gaps exist—no window resize/move/close, no clipboard access, no region-specific screenshot capture—but agents can work around these without major dead ends.

    Maintenance

    ActivitySlowing
    ResponsivenessResponsive