# Fantasy Football Draft Assistant

> Fantasy Football Draft Assistant — predictionmarketspicks-fantasy-draft-mcp. Use this tool when you need to optimize your fantasy football draft strategy and make informed player selections. It provides ranked boards, player comparisons, and sleeper/bust flags to help solve problems like navigating complex draft decisions and identifying undervalued players. With inputs like player data and draft settings, it outputs personalized recommendations to improve your fantasy football team's performance.

Canonical page: https://skillsregistry.net/skills/predictionmarketspicks-fantasy-draft-mcp  
JSON: https://api.skillsregistry.net/v1/skills/predictionmarketspicks-fantasy-draft-mcp

## Description

MCP server that provides fantasy football draft tools including ranked boards, best available, player comparisons, sleeper/bust flags, and ADP market gaps using a calibrated projection model.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/refbpp511o)
- **Repository:** <https://github.com/predictionmarketspicks/fantasy-draft-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": "predictionmarketspicks-fantasy-draft-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/predictionmarketspicks-fantasy-draft-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/predictionmarketspicks-fantasy-draft-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
