# MCP Eleven

> Use this tool when you need to analyze football data and scout players using natural language queries, providing insights over 40+ stats, 20+ leagues, and 10,000+ players. It solves problems related to football data analysis, scouting, and research by enabling easy access to comprehensive statistics. Input natural language queries and receive detailed analytics and insights as output, ideal for use cases such as player evaluation, team performance analysis, and fantasy football research.

Canonical page: https://skillsregistry.net/skills/ivan-escribano-mcp-football-eleven  
JSON: https://api.skillsregistry.net/v1/skills/ivan-escribano-mcp-football-eleven

## Description

An open-source MCP server that turns any AI assistant into a football data analytics and scouting platform, enabling natural language queries over 40+ stats, 20+ leagues, and 10,000+ players.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/imturv175j)
- **Repository:** <https://github.com/ivan-escribano/mcp-football-eleven>

## 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": "ivan-escribano-mcp-football-eleven"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ivan-escribano-mcp-football-eleven` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ivan-escribano-mcp-football-eleven/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