Nba Player Stats MCP Server

A focused Model Context Protocol (MCP) server that provides comprehensive NBA player statistics from basketball-reference.com. This server

Local serverstdioPython

What is the Nba Player Stats MCP MCP server?

Nba Player Stats MCP MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. A focused Model Context Protocol (MCP) server that provides comprehensive NBA player statistics from basketball-reference.com. This server specializes in delivering detailed player stats including career stats, season comparisons, advanced.

What the assistant can call

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

  • Per — Game Averages**: Traditional per-game statistics
  • All — Time Rankings**: Where players rank in NBA history
  • Prerequisites — The Prerequisites tool exposed by this server
  • Testing — The Testing tool exposed by this server
  • Troubleshooting — The Troubleshooting tool exposed by this server

Setting it up

The server ships on PyPI as nba-player-stats-mcp, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

Configuration and credentials

  • Python 3.8 or higher - pip package manager

Choosing this one

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Nba Player Stats MCP's toolset — Per, All, Prerequisites and 2 more — is a fair guide to whether it matches your workflow. It is maintained by ziyadmir; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

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 player stats mcp mcp server does with a few real requests.

Available tools

ToolWhat it does
PerGame Averages**: Traditional per-game statistics
AllTime Rankings**: Where players rank in NBA history
PrerequisitesThe Prerequisites tool exposed by this server.
TestingThe Testing tool exposed by this server.
TroubleshootingThe Troubleshooting tool exposed by this server.

How to install the Nba Player Stats MCP MCP server

### Configure Claude Desktop
```json
{
  "mcpServers": {
    "nba-player-stats": {
      "command": "python",
      "args": ["path/to/basketball/src/server.py"],
      "cwd": "path/to/basketball"
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Python 3.8 or higher - pip package manager

Example prompts to try

  • Use Nba Player Stats MCP to Per.
  • Use Nba Player Stats MCP to All.
  • Use Nba Player Stats MCP to Prerequisites.

Frequently asked questions

It connects Nba Player Stats MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 5 tools (Per, All, Prerequisites, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Nba Player Stats MCP directly.