# Formula 1

> Use this tool when you need to access real-time and historical Formula 1 racing data, including live timing, driver information, and telemetry. It provides comprehensive data through the Model Context Protocol, integrating with OpenF1 and Ergast APIs, and offers optimized performance with caching and rate limiting. Ideal for F1 enthusiasts, data analysts, and developers building applications that require detailed racing statistics and live session updates.

Canonical page: https://skillsregistry.net/skills/panth1823-formula1  
JSON: https://api.skillsregistry.net/v1/skills/panth1823-formula1

## Description

Formula1-MCP is a TypeScript server implementation that provides real-time Formula 1 racing data through the Model Context Protocol. Developed by Panth Shah, it integrates with both the OpenF1 API and Ergast API to offer comprehensive access to live timing data, historical race results, driver information, team radio messages, weather conditions, and telemetry. The server includes caching mechanisms to optimize performance and rate limiting to prevent API abuse. It's particularly valuable for F1 enthusiasts, data analysts, and developers building applications that require detailed racing statistics, live session updates, or historical performance comparisons.

## Trust

- **Trust score (0–1):** 0.53
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/panth1823-formula1)
- **Repository:** <https://github.com/panth1823/formula1-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": "panth1823-formula1"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/panth1823-formula1` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/panth1823-formula1/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