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Alternatives to mcp-vision

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    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      A multi-model vision MCP server that gives image understanding to AI coding models lacking native vision, letting them analyze screenshots, error images, UIs, documents, and OCR content through a single unified tool. It supports several mainstream vision LLM providers plus any OpenAI-compatible endpoint, with automatic image cropping, compression, and retry handling.
      814 npm
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    • F
      license
      Not graded
      quality
      B
      maintenance
      A lightweight MCP server that provides vision capabilities to text-only models like Claude Code and Codex by forwarding images to an OpenAI-compatible multimodal model, offering tools for image analysis and OCR.
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      An MCP server for image recognition and OCR via OpenAI-compatible vision APIs, supporting local files, URLs, and data URLs. Enables natural language image description and text extraction.
      8 npm
      2
      MIT

    TDQS

    A3.8/5.0

    Scored across 3 tools

    Disambiguation4/5

    Most tools are distinct: analyze_image handles general analysis, while ocr_extract and ocr_precise both do OCR but differ in precision and output structure. However, an agent might confuse ocr_extract with ocr_precise since both extract text.

    Naming Consistency4/5

    Two tools follow an 'ocr_' prefix pattern, while analyze_image uses a different verb_noun structure. The naming is mostly consistent within subgroups but lacks a unified pattern across all tools.

    Tool Count4/5

    3 tools is slightly thin for a 'vision' server, but covers core analysis and OCR functions. The count is appropriate for a focused utility, though more tools could be beneficial.

    Completeness3/5

    Basic image analysis and OCR are covered, but missing common vision tasks like object detection or image manipulation. The toolset feels minimal for general vision needs, leaving notable gaps.

    Maintenance

    ActivitySlowing
    ResponsivenessLimited data