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Glama

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    Related Servers

    TDQS

    C2.8/5.0

    Scored across 55 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes, as indicated by their specific categories and descriptions. However, baidu_ocr and baidu_ocr_accurate have identical descriptions, causing potential ambiguity. The multitude of OCR tools for different document types is well-separated.

    Naming Consistency5/5

    All tools follow a consistent 'baidu_' prefix followed by a snake_case descriptor (e.g., baidu_animal, baidu_asr). Even non-Baidu tools like btc_price adhere to a simple naming pattern. This makes the naming predictable and easy to parse.

    Tool Count2/5

    With 55 tools, the server far exceeds the typical 3-15 tool range for a well-scoped MCP server. While the wide range of AI services justifies a larger set, the sheer number may overwhelm agents and suggests the server could be split into smaller, more focused modules.

    Completeness5/5

    The tool surface is remarkably comprehensive, covering vision, voice, NLP, OCR, face, image generation/editing, translation, video, and more. It appears to address most common AI API needs, with no obvious dead ends or missing core operations.

    Maintenance

    ActivityStale
    ResponsivenessSlow