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kenpom-mcp

by dburge86
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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

    A4/5.0

    Scored across 18 tools

    Disambiguation4/5

    Most tools target a distinct resource (ratings, efficiency, four factors, player stats, arenas, schedule, etc.). However, several team-level stat tools (get_ratings, get_efficiency, get_four_factors, get_team_stats, get_scouting_report) overlap in content, though descriptions clarify their specific focuses.

    Naming Consistency5/5

    All tool names follow a consistent 'get_<noun>' pattern in snake_case, making them highly predictable. Examples include get_ratings, get_schedule, get_scouting_report, and get_conference_standings.

    Tool Count4/5

    With 18 tools, the server is comprehensive but slightly heavy for a niche stats domain. The count is justifiable given the breadth of KenPom data, but it edges into the upper range of ideal scope.

    Completeness4/5

    The surface covers a wide range of college basketball analytics: ratings, efficiency, player stats, schedule, conference stats, and more. Minor gaps exist (e.g., no direct box score or team roster details beyond height), but core use cases are well covered.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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