# mcp-sports-nlp

> mcp-sports-nlp — leomaurodesenv-mcp-sports-nlp. Use this tool when you need to analyze sports datasets using natural language processing (NLP) techniques, and leverage the Model Context Protocol (MCP) to access and process sports-related data. It solves problems related to text analysis, data extraction, and insight generation from sports datasets. The tool accepts sports datasets as input and outputs analyzed data and insights, making it ideal for use cases involving sports data analysis and NLP tasks.

Canonical page: https://skillsregistry.net/skills/leomaurodesenv-mcp-sports-nlp  
JSON: https://api.skillsregistry.net/v1/skills/leomaurodesenv-mcp-sports-nlp

## Description

This is a learning repository about Model Context Protocol (MCP) accessing Sports Datasets

## 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
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/leomaurodesenv/mcp-sports-nlp)

## 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": "leomaurodesenv-mcp-sports-nlp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/leomaurodesenv-mcp-sports-nlp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/leomaurodesenv-mcp-sports-nlp/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