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ai-mcp-server

by brianMacao
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    TDQS

    A3.9/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clear and distinct purpose: registration, inference, listing, metrics, probing, and guidance. No overlap in functionality.

    Naming Consistency4/5

    All tools use snake_case, but not all follow verb_noun pattern strictly (e.g., model_performance, usage_guide are noun_noun). Still clear and consistent in style.

    Tool Count5/5

    6 tools is well-scoped for an AI model server, covering registration, inference, listing, performance, probing, and guidance. Not too few or too many.

    Completeness4/5

    Covers core workflows (register, list, invoke, metrics, update via probe, guidance). Missing explicit delete or update tool for models, but add_models can override features, partially filling that gap.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources