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    Provides easy access to Formula 1 data including championship standings, event info, season calendars, track visualizations, session results, and driver/constructor info via FastF1 and OpenF1 API.
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    MIT
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    Provides access to Formula 1 data including driver and constructor championship standings with support for current and historical seasons. Enables users to query F1 championship information through natural language with plans for expanded race data and telemetry.
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    MIT
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    MCP server for Formula 1 data via the FastF1 library. Ask Claude (or any MCP-compatible client) about race results, lap times, telemetry, standings, pit stops, and qualifying — with historical data back to 1950 via the Ergast API.
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    MIT
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    Connects Claude to your Strava fitness data, enabling natural language queries about your training history such as activities, stats, and routes.
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    A Model Context Protocol server that gives AI assistants real-time access to the MCSR Ranked competitive Minecraft speedrunning API, enabling plain-language queries about players, matches, stats, and more.
    18
    MIT
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    Provides professional cycling data from FirstCycling, allowing users to retrieve comprehensive information about cyclists, race results, historical cycling data, and team information through natural language queries.
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    MIT
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    An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB.
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    MIT
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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.
    5
    MIT
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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.
    13
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    Enables Formula 1 data analysis through natural language, providing tools like track dominance, lap time analysis, and team performance comparisons.
    Apache 2.0
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    An MCP server that provides 118+ Formula 1 analytics tools, enabling race analysis, driver comparisons, telemetry exploration, and strategy simulation through natural language.
    MIT
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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.
    15
    MIT
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    Provides comprehensive Formula 1 data and analytics for Claude Desktop, including race results, telemetry, standings, and strategy insights through 36+ tools.
    1
    MIT
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    Enables interaction with Formula 1 data through LLM interfaces like Claude. Provides access to F1 information including circuits, constructors, drivers, grand prix, manufacturers, races, and seasons.
    Apache 2.0
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    Provides live football match data from Sofascore, including formations, injuries, betting odds, and league positions, enabling natural language queries about matches.
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    Exposes Formula 1 historical data (race results, qualifying, pit stops, and championship standings) as callable tools for LLMs via the Jolpica-F1 API.
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    Connects Claude to Cartola FC, enabling queries about matches, player scores, and market information through natural language.
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    Provides live Formula 1 data such as driver standings, race results, and schedule for the current season, enabling users to ask about F1 without stale training data.
    1
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    This Model Context Protocol server provides access to the Sleeper Fantasy Football API, enabling agents to fetch data about users, leagues, drafts, rosters, matchups, and player information without requiring an API key.
    5