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    Four utilities in one server: PDF text, ruled tables and OCR from a URL as pages, documents or RAG chunks; YouTube thumbnail URLs and files with per-size availability; sports scores, schedules and standings across 33 leagues; and ATP/WTA tennis with per-set scores and draws.
    5
    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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    MIT
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    Provides a tool to retrieve today's 2026 FIFA World Cup matches, including teams, time, venue, and scores.
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    Provides access to Fantasy NBA Israel League statistics including team rankings, player stats, roster details, and shooting analytics for a specific private fantasy basketball league.
    5
  • A
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    Enables AI agents to search and retrieve detailed information about US golf courses, including course details, tees, climate, and nearby points of interest.
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    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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    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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    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.
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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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    MIT
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    Enables fetching football fixtures, match details, league tables, and squad information from the matchday app through natural language.
    14
    MIT
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    Enables reading and scoring Fleaflicker fantasy football leagues, including rosters, standings, matchups, boxscores, draft boards, and stat line scoring using league-specific rules, with no authentication required.
    MIT
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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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    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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    Enables interaction with the wger Workout Manager database to retrieve exercises, muscles, and equipment information.
    5
    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.
  • 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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    Read-only MCP server that provides access to public Sleeper NFL fantasy data, including leagues, rosters, matchups, waivers, drafts, and player information. It enables AI clients to retrieve fantasy football details without requiring authentication or account modifications.