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F1 Data Server

by drivenrajatversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.drivenrajat/f1

Install

Overview

Description from the maker (original English)

Access Formula 1 race data, telemetry, lap times, standings, and analytics powered by FastF1

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Marketing & social media

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "f1": {
      "command": "uvx",
      "args": [
        "f1-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add f1 -- uvx f1-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "f1": {
      "command": "uvx",
      "args": [
        "f1-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "f1": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "f1-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account drivenrajat, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Marketing & social mediai

  • More stars than 0% of the other 2980 servers in this category
  • Published to the registry more recently than 1% of the other 2980 servers in this category
  • Basic checks equal to or better than 100% of the other 2980 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is F1 Data Server safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 10 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

F1 MCP Server

A Model Context Protocol (MCP) server that provides comprehensive Formula 1 data and analytics for Claude Desktop integration.

Features

This server exposes 36+ tools for accessing F1 data:

Race Data
  • Race results and classifications
  • Sprint race results
  • Qualifying progression (Q1, Q2, Q3)
  • Grid vs finish comparisons
  • DNF lists and retirement reasons
Telemetry & Analysis
  • Speed trace comparisons between drivers
  • Gear shift visualizations
  • Brake and throttle analysis
  • RPM and engine data
  • DRS usage patterns
Timing & Laps
  • Fastest lap data with sector times
  • Lap-by-lap timing
  • Deleted laps (track limits)
  • Lap consistency statistics
  • Personal best laps
Strategy
  • Tire compound analysis
  • Stint breakdowns
  • Pit stop data and fastest stops
  • Starting tire choices
  • Strategy comparisons
Standings & History
  • Driver championship standings
  • Constructor standings
  • Historical race winners
  • Track records
Live Data
  • Live session status
  • Real-time positions
  • Live lap times
  • Live telemetry
  • Current weather conditions
Other
  • Team radio links
  • Race control messages
  • Track status (flags, safety car)
  • Weather data
  • Circuit information

Installation

Prerequisites
  • Python 3.10 or higher
  • Claude Desktop
Setup
  1. Clone this repository:
git clone https://github.com/drivenrajat/f1.git

cd f1

  1. Create a virtual environment:
python -m venv venv

source venv/bin/activate # On Windows: venv\Scripts\activate

  1. Install dependencies:
pip install -e .
Configure Claude Desktop

Add this server to your Claude Desktop MCP configuration (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{

"mcpServers": { "f1": { "command": "python", "args": ["/path/to/f1/f1_server.py"] } } }

Or if using uv:

{

"mcpServers": { "f1": { "command": "uv", "args": ["run", "--directory", "/path/to/f1", "python", "f1_server.py"] } } }

Usage

Once configured, you can ask Claude questions like:

  • "Show me the 2024 F1 calendar"
  • "Get the race results from Monaco 2024"
  • "Compare telemetry between Verstappen and Norris at Silverstone qualifying"
  • "What was Hamilton's tire strategy at Spa?"
  • "Show me the current driver standings"
  • "Get the fastest pit stops from the Italian GP"

Data Sources

  • FastF1: Historical telemetry, lap times, and session data
  • Ergast API: Championship standings and historical results
  • OpenF1 API: Team radio recordings

Caching

The server automatically caches FastF1 data in a cache directory to improve performance on repeated queries.

License

MIT License - see LICENSE for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

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