
MCP-F1data
by Maxbleu·★ 0·Score 32
A Python-based MCP server providing Formula 1 racing data through the F1DB API.
Overview
The MCP-F1Data server exposes various F1-related data including circuits, constructors, drivers, grand prix, manufacturers, races, and seasons. It uses the F1DB database as its data source and provides a structured interface for LLM applications to access Formula 1 racing information. The server is built using FastAPI, FastMCP, and other Python libraries.
Try asking AI
After installing, here are 5 things you can ask your AI assistant:
When to choose this
Choose this server when you need to integrate F1 racing data into AI applications or conversational interfaces with minimal setup.
When NOT to choose this
Avoid this if you need real-time F1 data as the server relies on F1DB which may have updated schedules, or if you require data outside historical F1 statistics.
Tools this server exposes
7 tools extracted from the READMEcircuitRetrieve information about Formula 1 circuits
constructorGet information about F1 constructors (teams)
driverRetrieve information about Formula 1 drivers
grand prixGet information about Formula 1 Grands Prix
manufacturerRetrieve information about car manufacturers
raceGet information about specific races and results
seasonRetrieve information about Formula 1 seasons
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Installation
Installation
Install the package via pip:
pip install mcp-f1dataConfigure in Claude Desktop by adding the following to your configuration file:
- Windows:
%APPDATA%/Claude/claude_desktop_config.json - Linux:
~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"mcp-f1data": {
"command": "python",
"args": [ "-m", "mcp-f1data" ]
}
}
}FAQ
- Is this MCP server officially affiliated with Formula 1?
- No, this is an unofficial project not associated with any Formula 1 companies or organizations.
- What data sources does this MCP server use?
- The server uses data from F1DB, which is licensed under Creative Commons Attribution 4.0 International.
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Last updated · Auto-generated from public README + GitHub signals.