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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
    1
    MIT
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    48 AI-callable tools for FIFA World Cup 2026 football, Formula 1, and IPL cricket — Monte-Carlo bracket simulations, F1 pit-strategy modeling, and a Dream11 ILP optimizer, plus live odds and value-bet detection. Free, open-source, and works with any MCP client via uvx.
    46
    10
    MIT
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    Public read-only MCP server exposing today's free sports-betting projections, track record, methodology, engine versions, and per-game model reads from the Olympus Bets Analytics platform.
    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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    An open-source MCP server that turns any AI assistant into a football data analytics and scouting platform, enabling natural language queries over 40+ stats, 20+ leagues, and 10,000+ players.
    1
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    An MCP server that exposes Stockfish chess analysis to LLM chat clients, enabling move analysis, game review, and explanation of engine choices.
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    Enables local read-only access to TheRundown Product API data including sports, affiliates, market definitions, events, futures, and open main lines using your own API key.
    6
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    Enables users to check whether a beach suits a beach day or a surf session today or up to six days ahead, using Open-Meteo weather and marine forecasts scored by deterministic, documented rules. It exposes tools for raw hourly forecast data, suitability scores and verdicts by activity and skill level, and finding the best multi-hour window within a day.
    4
    MIT
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    Provides read-only access to pre-kick-off football match outcome probabilities and the open record of how those predictions turned out, including match listings, per-match analysis, and aggregate hit rates with baselines. It requires no account or API key and lets users query results by date, week, language, and time zone.
    3
    MIT
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    quality
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    Gives your MCP host (Claude Desktop, Cursor, Continue, Zed) access to live scores, match details, standings, top scorers, knockout brackets and player stats across football, basketball, cricket and tennis. Backed by the free public SportScore API — no key, no signup, CORS-open.
    8
    54 npm
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    MIT
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    Exposes 50 tools that let an existing AI agent act as a fantasy basketball general manager over a local deterministic engine, covering player valuation, projections, matchup simulations, lineup and IL planning, streaming, waivers, trades, and drafts. It returns insights, recommendations, and reviewer-checked proposals for the user to approve and execute in Yahoo themselves, without ever writing to the league.
    54
    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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    Gives AI clients free, keyless access to professional boxing data — upcoming cards, recent results, boxer profiles, division rankings, broadcasters, odds and win forecasts — so they can answer fight-night questions and cite a source page. Ships tools, resources and prompts covering schedules, bouts, rankings and search.
    MIT
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    An open NFL fantasy-football analytics platform that provides live data, machine-learned projections, dynasty values, and prospect grades via an MCP server for AI clients.
    3
    MIT
  • F
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    Enables agents to query live surf-break conditions, run what-if tide and engine evaluations, and create, update, log, export, or verify sealed session records through typed JSON-RPC tools.
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  • F
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    Provides surf forecast data including swell height, period, direction, and wind conditions for any location worldwide using the Open-Meteo Marine API. It also includes tools to find the best day to surf and integrates with MCP clients via a Python server.
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