# mcp-sportsdataio

> mcp-sportsdataio — pipeworx-io-mcp-sportsdataio. Use this tool when you need to access comprehensive sports data for the Big Six sports leagues, solving problems related to data retrieval and integration for applications such as fantasy sports, betting, or sports analytics. It provides an interface to retrieve data from SportsDataIO's API, accepting parameters such as league, season, and team, and outputting detailed sports data in a structured format. Ideal for use cases requiring reliable and up-to-date sports statistics, scores, and schedules.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-sportsdataio  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-sportsdataio

## Description

SportsDataIO MCP — wraps SportsDataIO's Big-Six sports data API (sportsdata.io)

## 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/pipeworx-io/mcp-sportsdataio)

## 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": "pipeworx-io-mcp-sportsdataio"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-sportsdataio` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-sportsdataio/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