Skip to main content
Glama

Related Servers

Alternatives to imagefeatures-mcp

No user-submitted related servers found.

    Related Servers

    • F
      license
      A
      quality
      C
      maintenance
      An MCP server that adds visual understanding to text-only LLMs via image understanding, OCR, and image comparison tools, with multi-provider fallback and context-aware Focus Hint for precise descriptions.
      3
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      MCP server that provides a 'borrowed eye' for text-only LLMs, enabling them to identify and describe local images via the Qwen VL vision model, including face recognition, scene description, OCR, and targeted visual questioning.
      1 npm
      Apache 2.0
    • F
      license
      Not graded
      quality
      B
      maintenance
      MCP server that enables LLMs to understand images without native vision by converting image regions into text encodings (ASCII art, grayscale grids, color stats) and supporting progressive zoom, OCR, and overview summaries. Users can load images, get chunk overviews, crop and encode specific regions, and extract text using normalized coordinates.
      -
    • A
      license
      A
      quality
      A
      maintenance
      MCP server that gives text-only AI agents the ability to understand images via vision tools, including multi-image analysis, OCR, comparison, and structured extraction. It uses providers like OpenAI, Anthropic, Gemini, and OpenRouter to return plain text descriptions.
      10
      7 npm
      MIT

    TDQS

    A4.2/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: analysis, quality check, comparison, raw feature extraction, vibe filtering, similarity search, color extraction, feature listing, and color sorting. Even overlapping areas like comparison and similarity are differentiated by scope (two images vs. a folder).

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern (e.g., analyze_image, sort_by_color, get_dominant_colors). There are no mixed conventions or vague verbs like 'process' or 'do_thing'.

    Tool Count5/5

    9 tools is appropriate for the domain of mathematical image feature extraction. Each tool provides a distinct operation without unnecessary duplication or missing essential functionality.

    Completeness5/5

    The tool set covers the full lifecycle of feature-based image analysis: single image analysis, quality assessment, pairwise comparison, raw feature extraction, vibe categorization, similarity search, color extraction, feature enumeration, and folder organization. No obvious gaps for the stated purpose.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues