# mcp-nba

> mcp-nba — pipeworx-io-mcp-nba. Use this tool when you need to access comprehensive NBA data, including player, team, and game statistics, to analyze performance, track trends, or build applications. It retrieves data via the BallDontLie API, providing a robust interface for querying and retrieving specific information. Ideal for use cases requiring accurate and up-to-date NBA data, such as fantasy sports, sports analytics, or data-driven storytelling.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-nba  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-nba

## Description

NBA MCP — player, team, and game data via the BallDontLie API

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-nba)

## 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": "pipeworx-io-mcp-nba"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-nba` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-nba/pull`

---
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
