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xiayuyang750

GLM Vision MCP

by xiayuyang750
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Python
Remote

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.5/5.0

    Scored across 4 tools

    Disambiguation4/5

    Most tools have distinct purposes: see_image for Q&A, extract_text for OCR, analyze_chart for charts/diagrams, and describe_image for general descriptions. However, see_image and describe_image overlap somewhat, as see_image with a default question essentially generates a description. The descriptions help clarify intent, so the ambiguity is limited.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in lowercase with underscores: see_image, extract_text, analyze_chart, describe_image. This makes the API predictable and easy to navigate.

    Tool Count5/5

    With 4 tools, the server is well-scoped for a vision MCP. Each tool covers a distinct core capability (Q&A, OCR, chart analysis, description) without unnecessary bloat. The count is appropriate for the domain.

    Completeness4/5

    The tool surface covers the major vision use cases: answering questions, extracting text, analyzing charts, and generating descriptions. Minor gaps exist, such as no explicit image comparison or object detection, but these are not core for a generic vision server. Overall, the coverage is solid with no dead ends.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources