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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.
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    MIT
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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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    Provides read-only access to Make Bracket Online bracket maker features including editor workflows, official links, and FAQ for AI assistants.
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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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    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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    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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    Wraps TheSportsDB API to enable AI agents to query sports data through natural language.
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    Provides access to official MLB statistics via a keyless API, enabling AI agents to query MLB data through natural language or direct tools.
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    Access football (soccer) data including competitions, matches, standings, and team details via the Football-Data.org API.
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    ESPN MCP — keyless multi-sport live scores, teams, and news via ESPN's public site API.
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    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.
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    An MCP server that analyzes upcoming weather at alpine peaks and trailheads worldwide, ranking the best windows for climbing and ascent using high-resolution forecast models.
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    Enables AI agents to query sports data including teams, players, events, and standings from TheSportsDB through natural language or direct tool calls.
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    An MCP server for managing kids' sports activities on Spond. Built for parents who want to give AI assistants access to upcoming matches, training schedules, and attendance.
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    5
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    Enables querying basketball data including players, games, season averages, and stats from the balldontlie.io API.
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    MCP server for football-data.org API providing access to football data like standings, matches, teams, and scorers.
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    Provides AFL fixture, results, standings, and tipping data via the Squiggle API, accessible through MCP.
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    15
    MIT