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omalleyandy

kenpom

by omalleyandy
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Python
Hybrid

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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

    B3.4/5.0

    Scored across 15 tools

    Disambiguation4/5

    Most tools have distinct purposes like ratings, predictions, or team rosters. However, 'kenpom_predictions' and 'kenpom_project' and 'kenpom_slate' overlap slightly in providing game forecasts, and the two effort-classification tools are unrelated to basketball data, causing potential confusion.

    Naming Consistency3/5

    Thirteen tools follow the 'kenpom_' prefix with noun-based names, but 'classify_effort' and 'get_tool_effort' break the pattern. Some compound names lack underscores (e.g., 'fourfactors', 'miscstats') while others use them, creating minor inconsistency.

    Tool Count5/5

    With 15 tools covering ratings, four factors, predictions, rosters, and more, the count is well-scoped for a college basketball analytics server. Each tool serves a clear function without redundancy.

    Completeness4/5

    The tool set covers core KenPom data like efficiency ratings, four factors, and game predictions. Missing are raw game results or player-level stats, but for team-level analysis the surface is nearly complete.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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