xby-nba-stats

NBA data is scattered across numerous websites and APIs. Looking up the career field-goal percentage of a star player, a play-by-play breakdown of a single game, or the current rotation of a team typically means hopping between pages and stitching the pieces together by hand. xby-nba-stats packages all of that into a standards-based MCP server so an AI assistant can query and interpret the information in a single conversation, replacing fragmented browser work with one natural-language prompt.

The toolset is broad: real-time scoreboards, schedules, per-game and career player stats, team rosters, standings, advanced metrics such as efficiency and defensive ratings, shot charts, shooting splits, play-by-play summaries, and season or career award records. Every function is exposed under a semantic name, and the server handles the resolution of team names to team IDs, player names to player IDs, and date-plus-matchup to game IDs automatically, so you never need to memorize an ID scheme.

Whether you are a fan who wants a quick answer to who dropped 30-plus for Boston last night, or a content creator and analyst who pulls player and team data in bulk for articles, podcasts, or dashboards, this plugin collapses a dozen-plus browser steps into a single dialogue. Because every data point flows through the unified XiaoBenYang API, the output format is consistent and easy to verify.