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shen866

Vision Bridge MCP

by shen866
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    • vision-mcp

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    • llm-vision-mcp

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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

    A3.5/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a distinct purpose: ask_about_image answers specific questions, describe_image generates a detailed description, and extract_image_text performs OCR. There is no overlap or ambiguity.

    Naming Consistency5/5

    All tools follow the verb_noun pattern with underscores, using clear and distinct verbs (ask, describe, extract). The naming is consistent throughout.

    Tool Count5/5

    With three tools, the server is well-scoped for image understanding tasks. Each tool serves a clear function without being excessive or insufficient.

    Completeness4/5

    The tools cover key image understanding capabilities: description, OCR, and question answering. Minor gaps like image classification or segmentation exist, but the set is largely complete for its implied purpose.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources