# Formula One MCP Server (Python)

> Use this tool when you need to access and manage Formula One racing data, solving problems related to data retrieval and analysis for F1 enthusiasts and developers. It provides a Model Context Protocol (MCP) server interface, accepting queries and returning relevant F1 data as output. Ideal for use cases requiring native Python integration with FastF1 library capabilities.

Canonical page: https://skillsregistry.net/skills/machine-to-machine-f1-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/machine-to-machine-f1-mcp-server

## Description

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.

## 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:** 2026-04-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qu9jvw5zsv)
- **Repository:** <https://github.com/Machine-To-Machine/f1-mcp-server>

## 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": "machine-to-machine-f1-mcp-server"
    }
  }
}
```

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

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