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    An MCP server that lets an LLM query a DuckDB warehouse of EuroLeague and EuroCup basketball data in natural language, offering tools for player and team stats, shot charts, boxscores, and fantasy draft analysis without contacting upstream APIs.
    13
    MIT
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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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    3
    MIT
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    Access football (soccer) data including competitions, matches, standings, and team details via the Football-Data.org API.
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    MIT
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    Provides football analytics tools including player scouting, comparisons, market-value filters, expected-goals tables, match-by-match form, team attacking profiles, match search, shot maps, and more for 10 leagues.
    6
    GPL 3.0
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    Enables AI agents to access comprehensive sports data including football, basketball, American football, and hockey leagues via 11 tools, with no API key required.
    MIT
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    Provides read-only access to sports data, odds intelligence, and historical stats via 10 MCP tools, with fast response times through Redis caching.
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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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    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.
    11
    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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    The Blue Alliance MCP server using its API for FIRST Robotics Competition data. Retrieve comprehensive FRC team, event, and match information.
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    1
    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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    Enables AI assistants to access sports betting odds data from 265+ bookmakers across 34 sports, including events, odds, historical data, arbitrage, and value bets.
    22
    95
    MIT
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    MCP server for NBA live data and stats, providing read-only tools to query live scores, box scores, player info, standings, and more from NBA.com.
    15
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    1
    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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    An MCP server providing access to college football statistics sourced from the College Football Data API within Claude Desktop.
    9
    27
    MIT
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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.
    1
    6
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    A Python-based MCP server that extracts football match data from multiple global sources like ESPN and BBC Sport using intelligent web scraping. It enables AI assistants to retrieve scheduled matches, real-time scores, and broadcasting details with advanced filtering for high-profile games.
    MIT
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    A Modular Command-line Program for fetching and filtering NFL transaction data, including player movements, injuries, disciplinary actions, and more from ProSportsTransactions.com.
    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.
    8
    MIT