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    Standalone Model Context Protocol server for PropProfessor, plus a small query CLI for local analysis.
    2
    MIT
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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 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.
    18
    18
    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
    1
    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.
    2
    24
    59
    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.
    10
    91
    MIT
  • F
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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.
    28
    1
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    Enables MCP-capable assistants to perform post-match Valorant analysis by inspecting stats, reviewing rounds and deaths, rendering tactical maps, and finding community lineups from a Riot ID or match link.
    MIT
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    Enables fetching football fixtures, match details, league tables, and squad information from the matchday app through natural language.
    6 npm
    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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    MCP server for real-time surf conditions at 5,000+ beaches worldwide. Enables checking surf conditions, finding nearest spots, and listing spots via natural language.
    104 npm
    1
    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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    Provides access to the Start.gg GraphQL API for querying tournament information, event standings, and player statistics. It also enables bracket management tasks like retrieving match sets and reporting winners through natural language.
    1
    Apache 2.0
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    An MCP server that provides real-time surf intelligence, including wave quality scoring, beach discovery, session planning, and forecast analysis across 12+ global data sources. It turns AI assistants into surf-savvy copilots for finding the perfect wave.
    2
    GPL 3.0
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    Manages sports video metadata with CRUD operations for game information, teams, scores, and statistics. Enables advanced search filtering by game type, teams, league, season, and date ranges through PostgreSQL integration.
    ISC
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    Enables querying NBA player information, team rosters, and game scores for seasons through the BallDontLie API.
    390 npm
    MIT
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    Provides comprehensive access to ESPN's sports APIs for live scores, team information, news, and statistics across NFL, NBA, MLB, NHL, college sports, and major soccer leagues with advanced filtering and real-time updates.
    15 npm
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    Provides access to comprehensive sports data from 5 major leagues (NBA, NFL, MLB, EPL, NHL) including teams, players, games, statistics, standings, injuries, and betting odds through 67+ endpoints. Enables users to query sports information and analytics through natural language.
    12
    MIT
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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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  • F
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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.
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    MCP server for managing tennis club member data from local CSV/Excel exports. Provides tools for searching, filtering, and analyzing member information.
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    Enables access to Formula 1 data from the openF1.org API, including driver information, race results, lap times, telemetry, pit stops, weather conditions, and live position data across multiple seasons.
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    Enables access to comprehensive surf forecasts from Surfline including current conditions, swell analysis, forecaster insights, tides, and timing information for Santa Cruz surf spots. Provides detailed 8-hour forecasts with expert observations through secure Google OAuth authentication.
    8
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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
    31 PyPI
    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
    49 npm
    MIT
  • A
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    Enables querying table tennis ratings, players, tournaments, and halls from rttf.ru, with respect for robots.txt restrictions.
    5
    MIT
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    Finds marked hiking routes from OpenStreetMap filtered by locally-computed elevation gain, distance, loop shape, and car/chairlift access, providing consistent and tunable metrics instead of third-party scraped data.
    1
    1
    MIT