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"TDX API MCP (Model Context Protocol) Server" matching MCP servers:

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    Enables AI assistants to access sports betting odds data from 265+ bookmakers across 34 sports, including events, odds, historical data, arbitrage, and value bets.
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    MIT
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    An MCP server that connects Claude Desktop to The Odds API, giving Claude real-time access to sports odds, scores, and schedules across 80+ sports and leagues worldwide.
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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 querying FIFA competitions, fixtures, results, and live match data through the FIFA Public API without authentication.
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    MIT
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    Provides read-only access to the Handigraphs Stats API v1, enabling discovery of sports resources and querying of protected sports statistics.
    3
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    Apache 2.0
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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.
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    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.
    10
    MIT
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    Enables fetching sportsbook odds, live scores, and event information across 70+ books and 30+ leagues, with tools to list sports, get scores, and discover events.
    8
    MIT
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    MCP server for football-data.org API providing access to football data like standings, matches, teams, and scorers.
    MIT
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    Enables querying K League official data (rankings, matches, players) via SQL using natural language, with a pre-built SQLite database.
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    Live sports betting player props MCP server covering NBA, MLB, NFL, NHL, NCAA, and soccer. Unified from real sportsbooks into one REST API and a real MCP server (Streamable HTTP). Free tier, no card required.
    5
    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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    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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    Enables comprehensive interaction with Tabcorp betting services through 30+ specialized tools covering racing data, sports betting, results, and FootyTAB with OAuth authentication. Supports all Australian jurisdictions and provides access to race meetings, next-to-go events, form guides, jackpots, and sports competitions.
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    AI-powered Fantasy Premier League assistant — scored captain picks, transfer suggestions, differentials, fixture outlook, price predictions, live points, and a full manager hub that auto-detects your squad, bank balance, and free transfers.
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    9
    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
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    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.
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    MIT