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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
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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.
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    MIT
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    Connects LLMs to the Fantasy Premier League API for intelligent team management, enabling natural language player research, competitor analysis, transfer decisions, and strategic planning using friendly names instead of IDs.
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    MIT
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    Tournament software for tennis, padel, pickleball and more: fair draws, live standings, scores and dropout handling.
    MIT
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    Provides live Chinese sports lottery (竞彩) odds for World Cup 2026 matches, including 5 betting markets, and integrates with AI predictions and betting strategies.
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    A real-time Formula 1 analytics server that lets you ask natural language questions about races, lap times, tyre strategies, pit stops, and more using live data from the OpenF1 API.
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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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    Provides a tool to retrieve today's 2026 FIFA World Cup matches, including teams, time, venue, and scores.
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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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    Real-time tennis data for ATP, WTA, Challenger and ITF: live scores, player rankings, match-winner odds, and model win-probability. 12 read-only tools; a tier-gated endpoint returns a plain-English explanation of which plan it needs rather than a bare 403. Requires a paid API key.
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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.
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    MIT
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    Race nutrition planning for endurance athletes. Calculates carb, sodium and fluid targets for marathons, ultras, cycling and triathlons. Returns personalised Lecka product recommendations by race type, conditions and athlete weight.
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    A physics-aware inline skating combo generator that models moves as state transitions to ensure sequences are executable and flow naturally. It allows users to generate custom skating routines and browse a catalog of wizard-style tricks.
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    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.
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    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.
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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 structured access to a World Cup SQLite database via MCP tools, enabling queries for tournaments, team histories, head-to-head matches, and player records.
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    Enables querying volleyball match, team, and tournament data from VolleyballWorld API through SQL queries on a SQLite database.
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