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Alternatives to atx-mcp

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to process images locally via file paths—converting, resizing, removing backgrounds, smart cropping, upscaling, reading or stripping metadata, and batch processing—without files ever leaving the device.
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to perform local image operations such as circle cropping, cropping, resizing, compressing, converting, and inspecting images without uploading files or making network calls.
      7
      70 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to perform local computer-vision-based image recognition and editing, including cropping, resizing, rotating, background removal, drawing text and shapes, object detection, OCR, overlays, and metadata inspection without sending images to external servers.
      MIT
    • A
      license
      C
      quality
      B
      maintenance
      Enables AI agents and users to edit images through natural language, performing layered, non-destructive operations like masks, clipping masks, blend modes, filters, generative fill, image-to-image, background removal and upscaling, either locally or via the user's own API keys. Agents can preview rendered results, measure image properties, review their own work and export finished images through 62 tools shared with the editor's UI.
      62
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to convert natural-language briefs into structured visual specs, deterministically render typography and layouts, and run constraint-aware visual QA and targeted repair for image generation.
      26 npm
      Apache 2.0

    TDQS

    A4.2/5.0

    Scored across 13 tools

    Disambiguation5/5

    Each tool targets a distinct resource or action: cataloging operations, listing assets, comparing revisions, detecting text/document/tilt, exporting/importing, inspecting, previewing, applying transforms, and generating masks. The only pair with adjacent concepts is list_operations and explain_operation, but their descriptions clearly separate catalog-level discovery from single-operation schema lookup.

    Naming Consistency5/5

    All 13 tools use a consistent snake_case verb_noun convention (list_assets, detect_tilt, apply_transform, etc.). There are no mixed casing styles or vague one-word names.

    Tool Count5/5

    13 tools is well-scoped for an image workspace and processing server, with each tool covering a meaningful capability. No tool appears redundant or trivial; the surface stays within a reasonable range for both discovery and operation.

    Completeness4/5

    The set covers import/export, inspection, preview, full-resolution transforms, masking, comparison, and several detection workflows, which is strong lifecycle coverage for the domain. The main gap is revision/workspace cleanup—there is no delete or remove tool for ledger entries—so some housekeeping workflows require external handling.

    Maintenance

    ActivityActive
    ResponsivenessNo issues