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    Tells you when your favourite football teams play and where to watch in Denmark, using data from TheSportsDB.com and built-in Danish broadcast hints.
    4
    MIT
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    MCP chess runtime that lets LLMs play, analyze, and adapt strength by exposing Stockfish, human move likelihood (Maia3), and Lichess statistics, with the LLM handling strategy and the server handling computation.
    13
    21 npm
    AGPL 3.0
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    Enables Claude and other MCP clients to answer NFL questions using 25+ years of real nflverse play-by-play and player statistics. Provides tools for situational stats, leaderboards, player game logs, team schedules, and player name disambiguation.
    6
    MIT
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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.
    19
    1
    MIT
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    Enables natural-language querying of a local DuckDB warehouse of NFL play-by-play data, converting questions into SQL and returning results.
    19
    1
    MIT
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    Enables AI agents to query live and historical sports analytics, consensus betting odds, predictions, scores, schedules, standings, rosters, news, play-by-play, and win probabilities through structured tools and resources.
    33
    271 PyPI
    Apache 2.0
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    Grades sports bets against thousands of play-by-play simulations, reporting simulated probability, implied probability, and edge.
    MIT
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    Provides verified NFL stats (2016–2025) and Sleeper league context through an MCP server, with tools for querying metrics, comparing entities, verifying claims, and accessing league data.
    MIT
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    Enables natural language access to NFL data, including play-by-play with EPA, player and team stats, injuries, depth charts, and closing lines for games since 1999.
    MIT
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    Enables retrieving live in-play sports matches, upcoming scheduled events, and bookmaker odds from BetsAPI, with optional natural-language access via ask_pipeworx.
    418 npm
    MIT
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    MCP server for querying validated EuroLeague and EuroCup basketball analytics, including possession-based metrics, four factors, and lineup-level on/off data reconstructed from play-by-play events.
    1
    MIT
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    An MCP server that provides access to over 12 years of NFL play-by-play data through a local DuckDB database. It enables users to query player performance, team statistics, and situational efficiency metrics like EPA and WPA using natural language.
    40 PyPI
    9
    MIT
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    Enables a local MCP client to coordinate club-night doubles play by proposing next rounds, rotating resting players, recording completed results, and correcting scores without erasing history. It provides transactional retries, session state, and auditable result corrections through its tools.
    MIT
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    Enables households to run a free, voice-driven play-along game during live sports: it detects big moments in a game feed, opens a short call window, resolves plays, and scores each player's predictions with underdog bonuses and streak multipliers. Also manages players, game-night sessions, recaps, and a persistent family season leaderboard rendered as an MCP Apps board on Echo Show and Fire TV.
    MIT