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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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    MIT
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    Enables fast real-time web search and access to premium data from trusted sources including news, financial markets, sports, and more. Supports AI agents with live data and curated content from various domains.
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    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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    Connects Claude to the SportRadar MLB API to access real-time baseball data including game schedules, live scores, player statistics, team standings, injury reports, and play-by-play information through natural language queries.
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    A Model Context Protocol server that provides access to Fantasy Premier League data, allowing users to compare players, find team information, view gameweek data, and get FPL-related advice through Claude for Desktop and other MCP-compatible clients.
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    Provides access to Chess.com player data, game records, and public information through standardized MCP interfaces, allowing AI assistants to search and analyze chess information.
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    Connect AI agents to OP.GG Esports data and retrieve upcoming League of Legends match schedules effortlessly. Access structured match information through a standardized interface, enhancing your AI's capabilities with real-time esports data.
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    Provides AI agents with access to football match predictions for Premier League and Champions League, including half-time/full-time scores, goal scorers, corner counts, and key player insights.
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    Enables AI assistants to access real-time iRacing telemetry, race information, camera control, pit operations, and replay features through the MCP protocol.
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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.
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    Enables fetching sportsbook odds, live scores, and event information across 70+ books and 30+ leagues, with tools to list sports, get scores, and discover events.
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    Wraps CricAPI to provide live cricket data, enabling AI agents to query cricket information through natural language or direct tool calls.
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    Provides comprehensive access to ESPN's sports APIs for live scores, team information, news, and statistics across NFL, NBA, MLB, NHL, college sports, and major soccer leagues with advanced filtering and real-time updates.
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    An open-source MCP server that connects to the SoccerDataAPI to deliver up-to-date football match information via natural language interactions.
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    MIT
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    Enables interaction with the wger Workout Manager database to retrieve exercises, muscles, and equipment information.
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    MIT
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    MCP server for Fantrax fantasy baseball that provides tools to read league info, rosters, standings, free agents, and related data.
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    Provides tools to interact with the Chess.com Public API for fetching real-time player profiles and detailed game statistics. It enables LLMs to access information like player ratings, win/loss records, and current online status.
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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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    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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