# com.footdigest/footdigest

> com.footdigest/footdigest — com-footdigest-footdigest. Use this tool when you need to generate accurate football predictions, including odds, tournament simulations, and standings. It solves problems related to informed betting, fantasy football, and bracket predictions by providing calibrated and sourced data. The tool takes in relevant football data and outputs detailed predictions, model cards, and bracket simulations, making it ideal for use before tournaments or matches.

Canonical page: https://skillsregistry.net/skills/com-footdigest-footdigest  
JSON: https://api.skillsregistry.net/v1/skills/com-footdigest-footdigest

## Description

Calibrated, sourced football predictions: odds, tournament sims, standings, brackets, model card.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.footdigest%2Ffootdigest)

## Use it

MCP endpoint published by the skill: `https://footdigest.com/mcp`

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": "com-footdigest-footdigest"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-footdigest-footdigest` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-footdigest-footdigest/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