F1 MCP Server

F1 MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Formula One MCP server using FastF1.

What you get

This Model Context Protocol (MCP) server provides access to Formula One data and statistics using the FastF1 Python library. It allows you to access race calendars, event information, session results, driver data, lap times, telemetry, and championship standings through a clean MCP interface.

• Get Formula One race calendars for specific seasons
• Retrieve detailed information about Grand Prix events
• Get session results (Race, Qualifying, Practice)
• Access driver information and statistics
• Analyze driver performance with lap times and telemetry data
• Compare multiple drivers' performance

Setting it up

The server ships on PyPI as fastf1, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

Configuration and credentials

• Node.js 18 or later - Python 3.8 or later - FastF1 library

Choosing this one

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. It is maintained by rakeshgangwar; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Before you rely on it

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the f1 mcp server does with a few real requests.