NBA MCP Server

Example Use Cases

• 1

  Real-time game updates (scoreboard, box score, play-by-play) to provide live commentary, notifications, or dashboarding.

• 2

  Player profiles and career statistics to answer player-specific queries or support scouting and analytics workflows.

• 3

  Team game logs, standings, and schedules to analyze team performance, generate reports, or power schedule-aware planning tools.

Description

This MCP server exposes NBA scoreboard, live box scores, play-by-play, player info, team logs, standings, schedules, and game results through a standardized MCP interface. It is implemented in Python using the nba_api package, Pydantic for validation, and Pandas for data manipulation, and can be run directly or via Docker. The server is designed to be a bridge between applications (including Claude Desktop) and NBA data services, enabling real-time and historical queries in agent workflows.