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VEN693
by VEN693

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      Grants image-understanding capabilities to AI coding assistants that lack native vision by routing screenshots, error messages, UI mockups and documents through a single unified analysis tool. Supports multiple vision model providers such as GLM, DeepSeek-OCR, Qwen-VL, Doubao and Hunyuan, with automatic multi-crop, compression and retry handling for text-dense images.
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    • A
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      Enables AI coding models without native vision to analyze images such as screenshots, error messages, UI layouts, and documents through a single image_understand tool. Supports multiple vision LLM providers including GLM-4.6V, DeepSeek-OCR, Qwen3-VL-Flash, Doubao-Seed-1.6, Hunyuan-Vision, and any OpenAI-compatible endpoint.
      417 npm
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    • A
      license
      Not graded
      quality
      A
      maintenance
      Gives AI coding models without native vision the ability to analyze images — screenshots, error messages, UI mockups, and documents — through a single unified image understanding tool. It routes requests to multiple vision model providers (GLM, DeepSeek-OCR, Qwen, Doubao, Hunyuan, or any OpenAI-compatible endpoint) with automatic cropping, compression, OCR-friendly handling, and retries.
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    TDQS

    A4.6/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of overlap or misselection between tools. The single 'vision' tool has an unambiguous purpose (image recognition returning structured description and OCR text).

    Naming Consistency4/5

    A single tool named 'vision' is trivially consistent since there are no siblings to clash with. It is a noun rather than a verb_noun pattern, but it is clear and readable.

    Tool Count4/5

    One tool is thin in absolute terms, but the server has a tightly scoped single purpose (image-to-text), so a single capability fully matches its scope. It is appropriately minimal rather than under-built for the stated domain.

    Completeness4/5

    The tool covers the core need of converting an image to text with an optional custom prompt, which satisfies the surface for a vision utility. Minor gaps exist (no batch/multi-image handling or URL input), but agents can work around these by calling per-image.

    Maintenance

    ActivityStale
    ResponsivenessNo issues