NBA Stats FAQs

Question 1

Does it provide visual assets like player headshots or team logos?

Accepted Answer

Yes, NBA Stats directly returns public NBA CDN URLs for player headshots and team logos within its JSON responses, allowing client applications to easily render visuals alongside the data without needing an API key.

Question 2

What is NBA Stats?

Accepted Answer

NBA Stats provides programmatic access to comprehensive live and historical NBA data. It's designed for AI agents and developers, offering player statistics, game scores, team information, and advanced analytics.

Question 3

How does NBA Stats integrate with AI agents?

Accepted Answer

It functions as a Model Context Protocol (MCP) server, enabling seamless integration with MCP clients like Claude Desktop and Python agents. This allows agents to perform natural language queries and retrieve structured NBA data.

Question 4

What kind of NBA data can I query?

Accepted Answer

You can access over 30 specialized tools for detailed queries, including player career/season/game stats, live game scores, team rosters, league standings, advanced analytics, shooting charts, and all-time leaders.

Question 5

Can I configure performance settings for data retrieval?

Accepted Answer

Absolutely. NBA Stats offers configurable performance settings via environment variables, including caching (TTL), maximum concurrency for outbound requests, timeouts, and retries, to optimize its behavior for your specific needs.

NBA Stats

NBA Stats

Key Features

Use Cases

Key Features

Use Cases