# Formula One Racing Data (FastF1)

> Use this tool when you need to access and analyze Formula One racing data, such as race calendars, results, and driver statistics, to solve problems like staying up-to-date on championships, tracking driver performance, or analyzing team strategies. It takes natural language inputs and returns relevant F1 data, including session results, lap times, and telemetry data. Ideal for motorsport enthusiasts, analysts, and journalists seeking to retrieve and examine F1 data within a conversation interface.

Canonical page: https://skillsregistry.net/skills/rakeshgangwar-formula-one-racing-data  
JSON: https://api.skillsregistry.net/v1/skills/rakeshgangwar-formula-one-racing-data

## Description

This Formula One MCP server provides access to F1 racing data through the FastF1 Python library, enabling AI assistants to retrieve race calendars, event information, session results, driver statistics, lap times, telemetry data, and championship standings. The implementation bridges Node.js and Python, with TypeScript handling the MCP server interface while Python processes the data requests, making it valuable for motorsport enthusiasts, analysts, and journalists who need to access and analyze Formula 1 data without leaving their conversation interface.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rakeshgangwar-formula-one-racing-data)
- **Repository:** <https://github.com/rakeshgangwar/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": "rakeshgangwar-formula-one-racing-data"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rakeshgangwar-formula-one-racing-data` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rakeshgangwar-formula-one-racing-data/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
