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nba-stats-mcp

by labeveryday
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Python
Hybrid

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    Deploy Server
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    TDQS

    B3/5.0

    Scored across 21 tools

    Disambiguation4/5

    Most tools have clear distinct purposes, but daily_summary and get_scoreboard both provide games for a date, creating slight overlap. Additionally, get_leaders and get_season_awards both relate to awards/leaders though they differ in scope.

    Naming Consistency3/5

    Naming conventions are mixed: many tools use a 'get_' prefix, but some like compare_players, daily_summary, and find_game omit it, and resolve_player_id/team_id use a 'resolve_' prefix. This inconsistency could confuse an agent.

    Tool Count4/5

    With 21 tools covering players, teams, games, and leagues, the count is on the higher side but remains reasonable for a comprehensive NBA stats server. It's well-scoped without being excessive.

    Completeness4/5

    The tool set covers a wide range of NBA data including player info/stats, team rosters/schedules, game details, and league leaders. Minor gaps exist, such as missing team basic stats or historical data, but core workflows are well-supported.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources