# NBA-MCP

> NBA-MCP — allanwessels-nba-mcp. Use this tool when you need to access and analyze daily NBA player performance data from the 2025-26 season. The NBA-MCP server provides a Model Context Protocol interface to retrieve and manipulate the dataset, solving use cases such as player performance comparison and team statistics analysis. It takes MCP-compatible AI client requests as input and outputs relevant player-game data, ideal for applications requiring up-to-date NBA daily leaders information.

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

## Description

A Model Context Protocol server that exposes the 2025-26 NBA daily leaders dataset (~28k player-game rows, all 30 teams) to MCP-compatible AI clients

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-24

## Source

- **Source listing:** [GitHub](https://github.com/AllanWessels/NBA-MCP)

## 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": "allanwessels-nba-mcp"
    }
  }
}
```

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