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

12,363 servers. Last updated 2025-12-10 05:58

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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 3 months ago
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    MIT License
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    Provides real-time and historical Formula 1 racing data through the Model Context Protocol, offering access to timing data, driver stats, race results, telemetry, and more.
    Last updated a month ago
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    MIT License
    • Apple
    • Linux
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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 4 months ago
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    Provides Formula One data and statistics through a Model Context Protocol interface, allowing users to access race calendars, session results, driver statistics, telemetry data, and championship standings.
    Last updated 9 months ago
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    MIT License
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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 8 months ago
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    MIT License
    • Linux
    • Apple

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