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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
    41 PyPI
    2
    MIT
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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
    46 npm
    AGPL 3.0
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    Enables Claude, ChatGPT and other MCP clients to look up members, their memberships and credentials, events and event bookings, and clubs and other organisations in a sports membership platform, and, when writes are enabled, to change the dates of a member's membership.
    9
    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
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    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.
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    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.
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    416 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 Claude or any MCP client to read a Fantrax fantasy hockey league and the NHL schedule, including matchups, standings, rosters, free agents, lineup capacity, and goalie minimums. It is read-only and never makes roster moves, claims, trades, or lineup changes.
    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.
    17 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.
    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.
    8
    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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    Sorqen is a sports fair-value API + MCP server: it turns sportsbook odds into a versioned, no-vig consensus probability for NFL/NBA/MLB/NHL moneyline, spread, and total markets, with confidence, provenance, and freshness attached to every number instead of a black-box pick.
    MIT
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    MCP server for RapidOddsAPI that provides bookmaker odds, live scores, arbitrage and value bets to AI assistants. It supports querying sports, odds, results, and betting opportunities with credit-based usage.
    5
    MIT
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    MCP server providing Claude live access to USL Super League data—teams, matches, standings, rosters, and schedule-strength analytics—via the ESPN public API.
    11
    MIT
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    Provides access to the Statbotics API for FIRST Robotics Competition statistical data and predictions. Enables AI assistants and other MCP clients to retrieve FRC team EPA ratings, event predictions, and match analytics.
    14
    62 npm
    MIT