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Information about F1 Racing MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

17,600 servers. Last updated 2026-02-21 07:54

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    Provides comprehensive Formula 1 data access including race schedules, session results, lap times, telemetry data, driver/constructor standings, and circuit information. Enables users to retrieve and analyze F1 racing data through natural language queries using the FastF1 Python package.
    Last updated 6 months ago
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    This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.
    Last updated 10 months ago
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    Provides advanced Formula 1 analytics including real-time telemetry processing, tire degradation modeling, weather impact analysis, and Monte Carlo race strategy simulation for comprehensive F1 data analysis.
    Last updated 5 months ago
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    Retrieves and displays the latest horse racing news stories from Thoroughbred Daily News RSS feed, including titles, content, and links.
    Last updated 8 months ago
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    Provides seamless access to iRacing's racing simulation data, enabling AI assistants to retrieve driver profiles, career statistics, and team information. It features automatic authentication and tools for real-time driver lookups and season performance analysis.
    Last updated 3 months ago
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    A Model Context Protocol server that provides comprehensive Formula One racing data, enabling access to event schedules, driver information, telemetry data, race results, and performance analytics through natural language queries.
    Last updated 5 months ago
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