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by ikhide

Related Servers

Alternatives to MCP Screen Text

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    Related Servers

    • A
      license
      Not graded
      quality
      Not graded
      maintenance
      Enables LLMs to capture and analyze screenshots of your screen, windows, or regions with smart detection capabilities. Features natural language queries, automatic window targeting, and text enhancement for UI debugging and visual inspection.
      2
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Gives MCP-capable AI tools running on Windows sight of the user's desktop: it captures the window being looked at, any monitor, window or region, and offers OCR, text finding, full-resolution zooming, snips, hotkey marks, visual baseline comparison and waiting for screen changes. Sensitive apps and windows are blacked out before any image reaches the AI client.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables MCP clients to read any Windows window as text with coordinates, including control names, roles, clickability, and all on-screen text positions, so even models without vision can understand and act on the desktop. It is read-only, listing windows, finding elements by name, and waiting for text to appear, without clicking, typing, or stealing focus.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      A cross-platform MCP server that allows AI agents to capture screenshots of specific windows, displays, or regions for native application testing. It provides tools to list active windows and monitors, enabling precise visual verification and interaction during automated workflows.
      28 npm
      2
      MIT

    TDQS

    B3.1/5.0

    Scored across 5 tools

    Disambiguation2/5

    Multiple tools have overlapping purposes that could cause confusion. For example, capture_application_screen and capture_screen_and_extract_text both handle application window screenshots, while capture_screen and capture_screen_and_extract_text both handle full-screen captures. The descriptions help somewhat, but the boundaries between tools are unclear, especially for agents trying to choose between similar options.

    Naming Consistency5/5

    All tool names follow a consistent snake_case pattern with clear verb_noun structures (e.g., capture_screen, extract_text, list_applications). There are no deviations in naming style, making the set predictable and easy to parse programmatically.

    Tool Count4/5

    With 5 tools, the count is well-scoped for a screen text capture domain, though it feels slightly thin. Each tool appears to serve a purpose, but the overlap suggests some tools could be consolidated, making the count borderline but still reasonable for the server's functionality.

    Completeness3/5

    The tool set covers core operations like capturing screens, extracting text, and listing applications, but there are notable gaps. For instance, there's no way to manage or delete captured images, and the OCR functionality is split across tools without clear update or configuration options, which could lead to agent workarounds for full lifecycle handling.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues