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Open-Source MCP servers

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

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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.
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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.
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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.
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    Enables AI-powered racing coaching and telemetry analysis for iRacing, providing real-time racing advice, car spotting, lap analysis, and conversational interaction with racing data through live telemetry streaming.
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    An MCP server that provides detailed information about your development environment to the Cursor code editor, enabling more context-aware assistance.
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    This MCP server enables interaction with NASCAR racing data via the sportsdata.io API, allowing access to race statistics, driver information, and event details through natural language queries.
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