# NFL Data MCP Server

> NFL Data MCP Server — smw355-nfl-data-mcp. Use this tool when you need to access NFL player statistics from 2015-2024, enabling you to solve problems such as researching player performance, comparing athletes, and identifying position leaders. It takes natural language inputs and provides relevant player data as output, making it ideal for applications requiring quick and easy access to NFL statistics. This tool is particularly useful in contexts where data-driven insights on NFL players are necessary, such as fantasy football or sports analytics.

Canonical page: https://skillsregistry.net/skills/smw355-nfl-data-mcp  
JSON: https://api.skillsregistry.net/v1/skills/smw355-nfl-data-mcp

## Description

Provides NFL player statistics from 2015-2024, enabling player lookups, comparisons, and position leaderboards via natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/prb11nrkk9)
- **Repository:** <https://github.com/smw355/NFL-Data-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": "smw355-nfl-data-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/smw355-nfl-data-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/smw355-nfl-data-mcp/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