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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.
    8
    2
    MIT
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    Provides a tool to retrieve today's 2026 FIFA World Cup matches, including teams, time, venue, and scores.
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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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    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.
    8
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    MIT
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    Python MCP server that provides comprehensive access to MLB statistics and baseball data through a FastAPI-based interface. Acts as a bridge between AI applications and MLB data sources, enabling seamless integration of baseball statistics, game information, player data, and more.
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    MIT
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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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    MIT
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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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    MIT
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    A unified MCP server that combines The Odds API and SportMonks Football API v3 to provide 28 tools for sports data like odds, scores, fixtures, standings, and predictions, enabling Claude to interact with a wide range of sports information.
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    Provides access to official MLB statistics via a keyless API, enabling AI agents to query MLB data through natural language or direct tools.
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    MIT
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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.
    14
    MIT
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    Enables AI agents to query sports data including teams, players, events, and standings from TheSportsDB through natural language or direct tool calls.
    21
    MIT
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    Read-only MCP server for reviewing completed public Lichess games, providing tools to fetch a game or list recent completed games with strict safety and cost boundaries.
    MIT
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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.
    10
    MIT
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    Enables querying community-run, keyless football/soccer match data from OpenLigaDB through natural language or direct tool calls.
    18
    MIT
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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.
    39
    MIT
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    Enables interaction with the wger Workout Manager database to retrieve exercises, muscles, and equipment information.
    5
    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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    A server that integrates Sleeper fantasy sports data with Goose AI through the Machine Context Protocol (MCP), providing structured access to fantasy league information.
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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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    Enables querying RGL.gg competitive TF2 data through natural language, resolving player, team, season, division, and match information via a series of API calls.