NBA FAQs

Question 1

What are the technical requirements to use this tool?

Accepted Answer

The server is built on Python using the nba_api package, MCP framework, Pydantic for input validation, and Pandas for data manipulation. Requirements are listed in the requirements.txt file.

Question 2

Can I use this data for commercial applications?

Accepted Answer

The server is licensed under the MIT License, which allows for commercial use. However, you should verify the terms of use of the underlying NBA API itself.

Question 3

What is MCP and how is it used?

Accepted Answer

MCP (Model Context Protocol) is used as the interface for accessing the NBA data. It allows seamless integration with applications like Claude Desktop by providing a standardized way to interact with the API.

Question 4

What data can I access with the NBA API Server?

Accepted Answer

You can access live game data (scoreboard, box scores, play-by-play), player information (career stats, game logs), team data (game logs, standings, team stats), and schedule information.

Question 5

How do I install and run the NBA API Server?

Accepted Answer

The server can be run using Docker or directly with Python. Instructions for both methods, including configuration for Claude Desktop integration, are provided in the documentation.

NBA

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