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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
  • A
    license
    A
    quality
    B
    maintenance
    NHL hockey data MCP server. 12 tools covering games, standings, player stats, goalie stats, odds, line movement, and matchup analysis across 16 seasons.
    12
    5 npm
    MIT
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    Enables AI assistants to query a user's own Garmin Connect training, health, and recovery history through Garmin's official Personal API, backed by a local cache and built-in analysis tools.
    21
    379 npm
    2
    Apache 2.0
  • A
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    Minimalist Strava integration for Claude with 7 focused tools for querying athlete stats, activities, zones, and segment analysis.
    8
    18 npm
    3
    MIT
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    Enables AI-assisted live ESPN fantasy football snake drafts by providing league-specific draft context, VORP-based value rankings, tier analysis, and real-time draft state.
    14
    1
    MIT
  • A
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    MCP server that exposes the Lichess public API through tools for querying player profiles, games, analysis, openings, puzzles, and tournaments, allowing natural-language chess questions without an API key.
    8
    MIT
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    A read-only MCP server that supplies live context from Sleeper fantasy-football leagues, including rosters, trade analysis, draft picks, and league settings via Sleeper's public API.
    11
    MIT
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    Enables AI assistants to analyze Fantasy Premier League data, providing tools for player search, fixture analysis, manager comparisons, and strategy prompts for transfer planning and lineup selection.
    19
    25 PyPI
    1
    MIT
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    Real-time sports card pricing, market analysis, arbitrage detection, grading ROI, investment advice, and player stats (NBA/NFL/MLB). 9 tools for AI agents helping collectors and investors.
    9
    25 PyPI
    3
    MIT
  • A
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    Enables MCP clients to read a user's own Rouvy activities, including summaries and per-second data for splits, selected time-window analysis, and downsampled streams; optionally exports FIT or CSV files when configured.
    11
    52 npm
    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
  • A
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    Enables local, read-only analysis of running durability from your own FIT files, listing outdoor runs and returning drift, magnitude, onset, and trend indices without GPS coordinates or predictions.
    3
    MIT
  • A
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    A
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    Enables querying probable football lineups with per-player start probability and expected fantasy points, match analysis, model picks, and a verified public track record across major European leagues through MCP tools.
    17
    59 npm
    MIT
  • F
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    Enables natural language interaction with Sleeper Fantasy Football API data, allowing queries about leagues, players, matchups, draft results, and trade analysis.
    13
    25
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  • F
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    Gives Claude Desktop read access to an ESPN Fantasy Football league, exposing standings, rosters, matchups, free agents, trades, and schedules so users can ask about their league in natural language. Adds purpose-built tools for trade targeting, roster-improvement analysis, and projection-based start/sit advice.
    20
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    MCP server that provides F1 telemetry analysis, tyre degradation modeling, and pit strategy recommendations, delivering race engineer-style calls grounded in real data. It exposes tools for degradation fits, fuel correction, and strategy reasoning via LangGraph.
    4
    MIT
  • F
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    Enables comprehensive Sleeper Fantasy Football integration with Claude, providing real-time player projections, historical performance analytics, league management, and waiver wire analysis. Supports advanced NFL metrics, lineup optimization, and matchup analysis for fantasy football decision-making.
    12
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  • A
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    Enables AI assistants to query an athlete's Enduraw data through official APIs, including their physiological Runner Matrix, critical speed, cardiac efficiency, climbing and downhill biomechanics, cardio zones, training activities, and form/fatigue curves. It also exposes an official race catalog with 3D elevation profiles, GPX tracks, aid station checkpoints, and pacing plans for pre-race analysis.
    24
    1
    MIT
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    Provides advanced Formula 1 analytics including real-time telemetry processing, tire degradation modeling, weather impact analysis, and Monte Carlo race strategy simulation for comprehensive F1 data analysis.
    13
    6
    MIT
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    MCP server that provides structured access to real-time sportsbook data from iddaa, including live events, competitions, and league fixtures with strategy analysis. Designed for AI agents and automation workflows.
    5
    85 npm
    1
    MIT
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    Enables AI assistants to access Bundesliga fantasy football squads, budgets, lineups, transfer markets, player stats, fixtures, and real trading operations to build buy/sell strategies and optionally execute them. Supports read and trade tools, including market analysis and lineup changes.
    32
    MIT
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    Enables natural language queries and analysis of Japanese horse racing data from JRA-VAN without writing SQL. Supports analyzing race results, jockey performance, breeding trends, and track conditions through conversation with Claude.
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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.
    6
    23 npm
    3
    MIT
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    Connects a user's F1Laps account to ChatGPT, Claude, and other compatible assistants, enabling read-only queries and analysis of saved F1 game laps, sessions, setups, and progress statistics.
    MIT
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    MCP server for Valorant esports analytics that exposes structured metrics and database query tools, enabling AI-assisted match analysis, player profiling, scouting reports, and coaching insights.
    Apache 2.0
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    Provides comprehensive access to Strava API for marathon training and race analysis, enabling language models to query athlete data, analyze training patterns, track performance metrics, monitor heart rate zones, and detect injury risks.
    1
    MIT
  • A
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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 AI agents to search and analyze Japanese horse-racing data in a PostgreSQL database, including races, entries, odds, jockeys, trainers, pedigrees, training, and predictive metrics. Also provides forecasting knowledge resources and safe read-only custom SQL querying for deeper analysis.
    Apache 2.0
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    Enables Formula 1 data analysis through natural language, providing tools like track dominance, lap time analysis, and team performance comparisons.
    Apache 2.0
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    An MCP server that provides 118+ Formula 1 analytics tools, enabling race analysis, driver comparisons, telemetry exploration, and strategy simulation through natural language.
    12 PyPI
    MIT
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    Enables read-only querying of an athlete’s workouts, training analysis, fitness load metrics, records, races, calendar, health metrics, equipment, strength sessions, and workout library through MCP clients, with no account modifications.
    MIT
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    Provides structured Valorant esports analytics data and metrics through MCP, including match analysis, player profiling, scouting reports, and ad-hoc SQL queries. Enables AI models to generate accurate coaching insights from pre-computed analytics tables.
    Apache 2.0
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    MCP server that connects Garmin Connect data to Claude, enabling training analysis, recovery checks, and personalized plans based on real metrics like HRV, training load, and activities.
    24
    MIT
  • A
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    Provides read-only, league-aware fantasy football data to AI clients without requiring an API key or database, covering league overviews, weekly matchups, injuries, trending players, historical rivalries, playoff brackets, drafts, and traded picks. It runs statelessly on Cloudflare Workers, automatically traversing linked prior seasons for multi-year analysis.
    MIT