Nba MCP Server

Nba MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. A Python server implementing Model Context Protocol (MCP) for NBA statistics and live game data.

What you get

This server provides a set of tools for accessing NBA data through the NBA API. It serves as a bridge between applications and the NBA's data services, offering both live game information and historical statistics.

• Live game data (scoreboard, box scores, play-by-play)
• Player information and career statistics
• Team game logs and statistics
• League standings
• Game results and schedules

What the assistant can call

Once Nba is connected, these are the calls the assistant has available:

• Configuration — The Configuration tool exposed by this server

Setting it up

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Choosing this one

Among the monitoring and observability options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Nba's toolset — Configuration — is a fair guide to whether it matches your workflow. It is maintained by obinopaul; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Before you rely on it

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the nba mcp server does with a few real requests.