# NBA Player Stats

> Use this tool when you need to analyze NBA player performance, solve problems related to fantasy basketball, sports analytics, or statistical reporting, and require detailed inputs such as player names, seasons, or statistics, to generate outputs like career stats, game logs, or advanced metrics. It provides a comprehensive interface for querying basketball data, handling complex requests like player comparisons and playoff performance analysis. Use it in contexts where accurate and up-to-date NBA player statistics are crucial for informed decision-making or data-driven insights.

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

## Description

This NBA Player Stats MCP server by Ziyad Mir provides AI agents with detailed basketball statistics from basketball-reference.com through 23 specialized tools organized across three analytical layers: core statistics (career stats, season comparisons, advanced metrics, shooting splits), deep analytics (game logs, specific stat queries, awards voting, team matchups), and ultra-deep analytics (career trend analysis, milestone tracking, situational splits, all-time rankings). Built with Python using the FastMCP framework and basketball_reference_scraper library, it includes automatic fixes for compatibility issues with the current basketball-reference.com website structure and handles complex queries like player comparisons, playoff performance analysis, and career progression tracking, making it valuable for sports analysts, fantasy basketball applications, and AI agents that need comprehensive NBA player data for statistical analysis and reporting.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ziyadmir-nba-player-stats)
- **Repository:** <https://github.com/ziyadmir/nba-player-stats-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": "ziyadmir-nba-player-stats"
    }
  }
}
```

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