# F1 MCP Server

> Use this tool when you need to access and analyze comprehensive Formula 1 data, including race schedules, results, and telemetry data, to solve problems such as retrieving specific racing data or analyzing team and driver performance. It takes natural language queries as input and provides detailed F1 data as output through the FastF1 Python package. Ideal for use cases that require in-depth analysis of F1 racing data, such as data journalism, research, or fantasy league management.

Canonical page: https://skillsregistry.net/skills/josh-mantel-mcp-f1  
JSON: https://api.skillsregistry.net/v1/skills/josh-mantel-mcp-f1

## Description

Provides comprehensive Formula 1 data access including race schedules, session results, lap times, telemetry data, driver/constructor standings, and circuit information. Enables users to retrieve and analyze F1 racing data through natural language queries using the FastF1 Python package.

## 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:** 2026-05-05

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/daw7f7ylbv)
- **Repository:** <https://github.com/Josh-Mantel/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": "josh-mantel-mcp-f1"
    }
  }
}
```

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

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