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    Enables AI assistants to access World Cube Association speedcubing data including world records, competitor profiles, competition information, and championship results. Supports queries about rankings, competition schedules, and detailed speedcubing statistics through natural language.
    12
    1
    MIT
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    Connects Claude to your Strava fitness data, enabling natural language queries about your training history such as activities, stats, and routes.
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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.
    6
    152 npm
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    MIT
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    MCP server for Formula 1 data via the FastF1 library. Ask Claude (or any MCP-compatible client) about race results, lap times, telemetry, standings, pit stops, and qualifying — with historical data back to 1950 via the Ergast API.
    21
    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
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    MIT
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    An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB.
    4
    60 npm
    26
    MIT
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    Enables answering questions about your disc golf rounds, courses, hole-by-hole scores and scoring trends, plus practice-throw speed, distance, spin and angle, read entirely from your own CSV exports with no credentials or network access.
    13
    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
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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 AI agents to query roughly 4 million powerlifting competition entries from about 64,000 meets worldwide, retrieving a lifter's meet-by-meet history with best squat, bench, deadlift, total and points, the full ordered results of a specific meet, and all-time top lifts filtered by sex, equipment, lift, weight class, federation, age class, tested status or year. Runs keyless either through the hosted gateway URL or as a local stdio server.
    529 npm
    MIT
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    Provides comprehensive soccer/football data including standings, team search, league search, match predictions, and head-to-head records via the API-Football service.
    136 npm
    MIT
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    Provides live Formula 1 data such as driver standings, race results, and schedule for the current season, enabling users to ask about F1 without stale training data.
    1
    MIT
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    Enables read-only access to WHOOP recovery, sleep, HRV, strain, and workout data so users can ask natural-language questions about their personal health history, trends, and baselines inside Claude, Codex, or GitHub Copilot. It also provides HYROX and triathlon session analysis, race readiness checks, and a local performance dashboard.
    19 npm
    MIT
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    A read-only MCP server that gives AI assistants like Claude, Codex, and GitHub Copilot access to your WHOOP recovery, sleep, HRV, strain, and workout data. It enables natural-language queries about daily readiness, personal baselines, trends across periods, sleep debt, and HYROX or triathlon performance, all without manually exporting data.
    19 npm
    MIT
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    Wraps CricAPI to provide live cricket data, enabling AI agents to query cricket information through natural language or direct tool calls.
    298 npm
    1
    MIT
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    Enables querying NBA player information, team rosters, and game scores for seasons through the BallDontLie API.
    473 npm
    MIT
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    Tournament software for tennis, padel, pickleball and more: fair draws, live standings, scores and dropout handling.
    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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    Enables interaction with the wger Workout Manager database to retrieve exercises, muscles, and equipment information.
    285 npm
    MIT
  • F
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    Provides live football match data from Sofascore, including formations, injuries, betting odds, and league positions, enabling natural language queries about matches.
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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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    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 natural language querying of football/soccer data via the API-Football service, providing access to leagues, teams, players, fixtures, standings, and statistics.
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    Enables management of sports video metadata with PostgreSQL backend, supporting CRUD operations, advanced search, and tracking of game information including teams, scores, player statistics, and match details.
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    This Model Context Protocol server provides access to the Sleeper Fantasy Football API, enabling agents to fetch data about users, leagues, drafts, rosters, matchups, and player information without requiring an API key.
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    MCP server that provides Forza Horizon 5 telemetry tools (session listing, summaries, telemetry windows, tuning recommendations) to AI assistants, enabling natural language queries about driving sessions.
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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.
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    A real-time Formula 1 analytics server that lets you ask natural language questions about races, lap times, tyre strategies, pit stops, and more using live data from the OpenF1 API.
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    This MCP server enables interaction with NASCAR racing data via the sportsdata.io API, allowing access to race statistics, driver information, and event details through natural language queries.
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