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vision-mcp

by aesoper101
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    TDQS

    A3.7/5.0

    Scored across 4 tools

    Disambiguation2/5

    analyze_image, describe_image, and ocr_image all accept the same input and return text results. describe_image is explicitly described as equivalent to analyze_image with a default instruction, and ocr_image is just a specialized prompt variant. This creates significant overlap and makes it unclear when to choose one over another. Only list_providers is clearly distinct.

    Naming Consistency4/5

    All tool names use snake_case with a verb-first pattern: analyze_image, list_providers, describe_image, ocr_image. The only minor deviation is ocr_image using an acronym instead of a plain verb, but it still fits the pattern. Overall, naming is predictable and consistent.

    Tool Count3/5

    With only 4 tools, the server is on the low end of the typical range. However, 3 of the 4 tools essentially perform the same task with different prompt variations, so the effective functionality is even more limited. The count feels padded rather than well-scoped, and could be reduced to just analyze_image and list_providers without loss.

    Completeness4/5

    The server covers the core functionality of image analysis, including general analysis, description, and OCR, plus provider list management. Since analyze_image is generic and accepts multiple images for comparison, it covers most basic vision tasks. Minor gaps include lack of explicit model management or configuration tools, but list_providers partially addresses this.

    Maintenance

    ActivityMaintained
    ResponsivenessSyncing

    Resources