# Sleeper MCP Server

> Use this tool when you need to integrate fantasy sports data into AI workflows, solving problems of accessing and structuring league information. The Sleeper MCP Server takes in fantasy league data and outputs structured information through the Machine Context Protocol (MCP) interface, enabling seamless interaction with Goose AI. Ideal for use cases requiring automated decision-making or analysis in fantasy sports contexts.

Canonical page: https://skillsregistry.net/skills/tstapler-sleeper-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tstapler-sleeper-mcp

## Description

A server that integrates Sleeper fantasy sports data with Goose AI through the Machine Context Protocol (MCP), providing structured access to fantasy league information.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uo2gkax8gm)
- **Repository:** <https://github.com/tstapler/sleeper-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": "tstapler-sleeper-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tstapler-sleeper-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tstapler-sleeper-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