# mcp-f1

> mcp-f1 — pipeworx-io-mcp-f1. Use this tool when you need to access and utilize Formula 1 data via the Ergast API, solving problems related to retrieving and analyzing F1 information. It provides input through API requests and outputs relevant F1 data, making it ideal for use cases involving data analysis and visualization. Use it in contexts where reliable and up-to-date F1 data is required, such as research, development, or enthusiast projects.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-f1  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-f1

## Description

F1 MCP — Formula 1 data via the Ergast API

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-f1)

## 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-f1"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-f1` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-f1/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