What data does the server use?
It uses the FastF1 Python library, which provides access to official Formula 1 timing data, car telemetry, and session results.
@MCP-Mirror
基本信息
Mirror of
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A Model Context Protocol (MCP) server that provides access to Formula One data and statistics using the FastF1 Python library. It enables users to retrieve race calendars, event information, session results, driver data, lap times, telemetry, and championship standings through a clean MCP interface.
Install Python dependencies (fastf1, pandas, numpy) and Node.js dependencies, then build the TypeScript code. Add the server to your Cline MCP settings file with the command node and the path to the built index.js. Once running, use the provided tools (e.g., get_event_schedule, get_session_results, compare_drivers) via natural language queries.
It uses the FastF1 Python library, which provides access to official Formula 1 timing data, car telemetry, and session results.
Node.js 18 or later, Python 3.8 or later, and the FastF1 library (plus pandas and numpy).
Add an entry to your Cline MCP settings file (`cline_mcp_settings.json`) with the command `node` and the path to the built `index.js`.
The server communicates via standard MCP protocol over stdio, as configured in the MCP settings.
Valid session names include "Race", "Qualifying", "Sprint", "FP1", "FP2", and "FP3".
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