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    • A
      license
      Not graded
      quality
      A
      maintenance
      Adds image understanding to AI coding clients that lack native vision, letting them analyze screenshots, error messages, UI layouts, and documents through a single unified tool. Routes requests across multiple vision LLM providers with automatic preprocessing, multi-crop handling for large or text-dense images, and retry logic.
      1,104 npm
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    • A
      license
      A
      quality
      C
      maintenance
      Connects a text-only coding agent to an OpenAI-compatible vision model so it can analyze images, screenshots, and UI mockups. Provides tools for general image understanding, OCR and code transcription, error-screenshot diagnosis, technical diagram and chart interpretation, UI-to-code/spec generation, and expected-versus-actual UI comparison.
      7
      40 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Gives AI coding assistants without native vision the ability to analyze screenshots, error messages, UI layouts, and document images through a single unified image-understanding tool. Routes requests across multiple vision LLM providers with automatic cropping, compression, OCR-friendly handling, and retries, and can be shared over HTTP or Docker across clients.
      1,104 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      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.
      1,104 npm
      MIT

    TDQS

    A4.6/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of confusion or overlap. The tool's purpose—analyzing images to answer questions or return structured data—is clear and unambiguous.

    Naming Consistency5/5

    The single tool name follows a clear verb_noun pattern (analyze_image) that is consistent and descriptive. There are no conflicting conventions to cause confusion.

    Tool Count3/5

    A single tool feels thin for a server branded as 'visual-intelligence,' but the tool itself is versatile enough to handle various image analysis requests. The count is right at the borderline where it could use additional specialized tools, but it is not wholly inappropriate.

    Completeness4/5

    The tool covers the core need of analyzing local images and returning either descriptive text or structured JSON, including support for UI-related queries. Minor gaps exist, such as requiring local file paths and lacking support for direct image URLs, but these are workaroundable.

    Maintenance

    ActivityStale
    ResponsivenessNo issues