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Alternatives to photo-enhance-mcp

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    • A
      license
      B
      quality
      B
      maintenance
      Enables AI agents to drive a full photo-editing engine through validated, non-destructive operations — exposure and colour grading, effects, geometry, text/watermarks, style matching from a reference image, natural-language looks, and batch processing over folders. Originals stay untouched, edits live in an open JSON project format, and everything runs locally without network access unless opted in.
      27
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to remove backgrounds, compress, resize, crop, AI-upscale, and strip metadata from images entirely on the local computer, so files never leave it.
      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
      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
      Not graded
      quality
      B
      maintenance
      Enables AI agents to run cross-platform batch photo-processing workflows—including RAW decoding, adjustments, noise reduction, white balance, LOG restoration, EXIF tagging, deduplication, selection, HTML galleries, folder watching, and presets—through a unified versioned JSON contract. It also exposes MCP tools for processing, suggestions, autopilot, indexing, search, selection, HDR, face blurring, and more.
      MIT