F1 Data Server
Access Formula 1 race data, telemetry, lap times, standings, and analytics powered by FastF1
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
f1-mcpclaude mcp add f1-data-server -- uvx f1-mcp==0.1.0
{
"mcpServers": {
"f1-data-server": {
"command": "uvx",
"args": [
"f1-mcp==0.1.0"
]
}
}
}
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
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
- Clone this repository:
bash git clone https://github.com/drivenrajat/f1.git cd f1 - Create a virtual environment:
bash python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate - Install dependencies:
bash 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.
Frequently asked questions
What is F1 Data Server?
Access Formula 1 race data, telemetry, lap times, standings, and analytics powered by FastF1
How do I install F1 Data Server?
It runs on your machine. In Claude Code: claude mcp add f1-data-server -- uvx f1-mcp==0.1.0. For other clients, paste the JSON configuration from this page into their MCP settings.
Does F1 Data Server need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is F1 Data Server open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains F1 Data Server?
It is published by drivenrajat. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.