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Alternatives to llm-vision-mcp

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    Related Servers

    • A
      license
      A
      quality
      B
      maintenance
      Gives text-only LLMs vision capabilities via MCP, using vision models like Xiaomi MiMo-V2.5 to analyze images, describe content, and extract text through tools such as analyze_image, describe_image, and extract_text_from_image.
      3
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Adds vision capabilities to text-only LLMs by integrating external vision models via MCP. It supports OCR, error screenshot reading, UI description, image comparison, and natural-language queries on images.
      25 npm
      MIT
    • F
      license
      Not graded
      quality
      C
      maintenance
      Provides an MCP tool that analyzes images from local paths, URLs, or data URLs via a vision language model, returning structured descriptions (brief, detailed, summary) so text-only LLMs can understand image content.
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      MCP server that adds Qwen3-VL vision capabilities to Claude Code or any MCP client, enabling OCR, UI/screenshot recognition, and chart understanding. It provides tools for analyzing single or batch images via DashScope's OpenAI-compatible API, with caching and fast mode.
      MIT

    TDQS

    B3.4/5.0

    Scored across 7 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes (OCR, UI description, error diagnosis, diagram interpretation, chart analysis, code extraction), but 'analyze_image' is a generic catch-all that could overlap with any of the specialized tools, creating potential misselection.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (analyze_image, extract_text, describe_ui, diagnose_error, understand_diagram, analyze_chart), with only 'code_from_screenshot' being a slight deviation but still fitting the overall style.

    Tool Count5/5

    7 tools is a well-scoped count for a vision analysis server, covering common image tasks without unnecessary bloat or thinness.

    Completeness4/5

    The tool set covers general analysis, OCR, UI, errors, diagrams, charts, and code extraction, which is comprehensive for typical vision workflows. Minor gaps like image transformation or object detection exist but are not core to the server's implied purpose.

    Maintenance

    ActivitySlowing
    ResponsivenessUnresponsive