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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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    8
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    MIT
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    Read-only MCP server for the PlayMetrics youth-sports club management platform, enabling AI agents to query clubs, teams, players, schedules, registrations, and payments.
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    MIT
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    Claudinho gives any MCP client live 2026 World Cup scores, fixtures, group standings, read-only prediction-market signals (Polymarket, informational only), and ready-to-paste match cards. Key-free; the schedule is bundled offline — only live state hits ESPN. Independent fan project — not affiliated with FIFA or Anthropic.
    Last updated
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    MIT
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    MCP server for MaxPreps that reads US high school team schedules, scores, records, rosters, stat leaders, and athlete careers without needing an account or API key.
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    A local MCP server that gives Claude (or any MCP-compatible AI client) access to Formula 1 race data. Load any session from 2018 onwards, ask questions in natural language, and get answers backed by real telemetry, timing, and strategy data.
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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.
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    Provides access to Fantasy NBA Israel League statistics including team rankings, player stats, roster details, and shooting analytics for a specific private fantasy basketball league.
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    Provides live football data through MCP tools, enabling users to fetch today's matches and top scorers for competitions like the Premier League or World Cup.
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    Enables AI agents to discover live and recent football matches, scores, and fan clips on Vublox. Supports searching by team, league, or keyword and retrieving match summaries.
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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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    An MCP server providing access to college football statistics sourced from the College Football Data API within Claude Desktop.
    Last updated
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    MIT
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    Provides AI agents with access to football match predictions for Premier League and Champions League, including half-time/full-time scores, goal scorers, corner counts, and key player insights.
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    Provides structured access to NHL data including teams, players, standings, schedules, and statistics through the Model-Context Protocol pattern.
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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.
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    MIT
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    Wraps TheSportsDB API to enable AI agents to query sports data through natural language.
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    MIT
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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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    A Model Context Protocol server that provides read-only access to Yahoo Fantasy Sports data, enabling AI assistants to query league standings, player stats, matchups, and rosters.
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    MIT