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SergioCastro02

NBA MCP Server

by SergioCastro02
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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

    A3.9/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool targets a distinct NBA entity or query type: player lookup, team lookup, team enumeration, player stats, standings, roster, stat leaders, scoreboard, and box score. Even the closest pair, find_team and list_teams, are clearly differentiated as search versus full list.

    Naming Consistency3/5

    Tool names mix imperative verb-led forms like find_player, find_team, and list_teams with noun/resource forms like player_career_stats, league_standings, and game_boxscore. The names are readable and consistently snake_case, but the verb/noun pattern is not applied uniformly.

    Tool Count5/5

    Nine tools is a well-scoped size for an NBA data server, covering the major stat and score queries without redundancy. Each tool earns its place in the set.

    Completeness4/5

    The tool set covers the core read-only NBA workflow: player and team lookup, player stats, rosters, standings, stat leaders, scoreboard, and box score summaries. Gaps such as full box score details, player game logs, or a season schedule are minor and can be worked around.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources