# NBA Stats

> Use this tool when you need to access and analyze NBA statistics, live game data, and league standings. It solves problems for sports analysts, fantasy basketball players, and fans by providing a simple interface to query current and historical NBA data, eliminating the need to understand the underlying API structure. With inputs of specific queries and outputs of relevant statistics and data, it's ideal for use in conversational interfaces, such as Claude Desktop, to inform decisions or discussions about the NBA.

Canonical page: https://skillsregistry.net/skills/obinopaul-nba-stats  
JSON: https://api.skillsregistry.net/v1/skills/obinopaul-nba-stats

## Description

NBA MCP Server provides a Python-based interface to NBA statistics and live game data through the NBA API. It offers tools for accessing live game information (scoreboard, box scores, play-by-play), player statistics, team data, and league standings without requiring users to understand the underlying API structure. Built with FastMCP and packaged as a Docker container, it's designed for seamless integration with Claude Desktop, making it ideal for sports analysts, fantasy basketball players, and NBA fans who want to query current and historical NBA data directly within their conversations.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/obinopaul-nba-stats)
- **Repository:** <https://github.com/obinopaul/nba-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "obinopaul-nba-stats"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/obinopaul-nba-stats` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/obinopaul-nba-stats/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt