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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
    MIT
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    MCP server for FIFA World Cup 2026 data including fixtures, live scores, odds, and knockout bracket, plus a tool (wc_edge) that autonomously pays for premium data via Injective's x402 protocol.
    8
    5 npm
    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
    MIT
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    A Model Context Protocol server that gives AI assistants real-time access to the MCSR Ranked competitive Minecraft speedrunning API, enabling plain-language queries about players, matches, stats, and more.
    18
    MIT
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    A lightweight Garmin Model Context Protocol server with 12 curated endpoints for endurance athletes, enabling natural-language queries of activity, training, health, device, and goal data from Garmin Connect.
    12
    MIT
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    Enables AI agents to query live sports betting odds, best prices, arbitrage, +EV bets, and middles directly through Model Context Protocol tools.
    8
    MIT
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    Provides AI-powered sports analytics for Daily Fantasy Sports (DFS) with real-time player projections, lineup optimization, live odds aggregation from multiple sportsbooks, and SHAP-based explainability to understand recommendation reasoning.
    4
    1
    MIT
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    Provides bike tire pressure recommendations based on a SRAM-like formula, including live weather-adjusted front/rear pressures for configured bike profiles.
    4
    MIT
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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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    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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    This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.
    8
    2
    MIT
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    Integrates iRacing with the Model Context Protocol to retrieve profile statistics and iRating charts for any category.
    2
    9
    MIT
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    Enables access to MLB Stats API data including game schedules, results, team information, and player lookups with fuzzy matching support through the Model Context Protocol.
    3
    7
    MIT
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    Provides Formula One data and statistics through a Model Context Protocol interface, allowing users to access race calendars, session results, driver statistics, telemetry data, and championship standings.
    8
    11
    MIT
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    Enables access to live FotMob football data for fixture lookup, team and player research, match details, lineups, league discovery, and search-based entity lookup.
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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.
    24
    59
    MIT
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    A Model Context Protocol server that provides access to Fantasy Premier League data, allowing users to compare players, find team information, view gameweek data, and get FPL-related advice through Claude for Desktop and other MCP-compatible clients.
    23
    73 PyPI
    80
    MIT
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    Provides comprehensive NBA statistics via Model Context Protocol, enabling queries for player stats, game scores, team info, and advanced analytics through natural language.
    21
    10
    MIT