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Daichi-Kudo

LLM-Adviser-Mcp

by Daichi-Kudo
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TypeScript
Remote

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    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

    A4.2/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: compare_models for side-by-side comparisons, get_model_info for detailed single-model data, list_top_models for category-based rankings, and recommend_model for personalized suggestions. There is no overlap or ambiguity in their functions.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with snake_case (e.g., compare_models, get_model_info). The verbs are distinct and appropriate for each action, making the naming predictable and readable throughout the set.

    Tool Count5/5

    With 4 tools, the server is well-scoped for its purpose of advising on LLM/VLM models. Each tool earns its place by covering key aspects: comparison, detailed info, rankings, and recommendations, without being too sparse or bloated.

    Completeness5/5

    The tool surface provides complete coverage for the domain of LLM/VLM model advising. It includes tools for comparison, detailed retrieval, categorical listing, and personalized recommendations, covering all essential workflows without obvious gaps.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive

    Resources