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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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    MCP server that gives Claude programmatic access to a local En Croissant chess opening trainer, enabling conversational opening prep by reading its SQLite database, PGN files, and Lichess API. It supports repertoire review, due cards, and opponent statistics directly from chat.
    8
    MIT
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    Enables AI assistants to interact with the Footics World Cup 2026 prediction game, reading matches, standings, predictions, and optionally submitting predictions.
    MIT
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    Enables reading and scoring Fleaflicker fantasy football leagues, including rosters, standings, matchups, boxscores, draft boards, and stat line scoring using league-specific rules, with no authentication required.
    MIT
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    Enables AI assistants to query real-time standings, fixtures, Chinese/English club aliases, and tactical data for Europe's top five leagues and global football.
    MIT
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    Diagnoses and fixes CFB 27 dynasty recruiting by editing the save file to remove low-star recruit bloat, ensuring top prospects receive scholarship offers.
    MIT
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    Enables AI assistants to query the latest F1 news from the official F1 website in real-time, with pagination support and automatic Chinese translation.
    MIT
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    MCP server for reading Fonbet sports events and odds, enabling search for events, retrieval of odds, and value-bet checking via natural language.
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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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    MCP server for managing tennis club member data from local CSV/Excel exports. Provides tools for searching, filtering, and analyzing member information.
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    Provides read access to Garmin Connect health and training data (sleep, heart rate, stress, HRV, activities) and supports writes like creating workouts, editing activities, and exporting files.
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    Four utilities in one server: PDF text, ruled tables and OCR from a URL as pages, documents or RAG chunks; YouTube thumbnail URLs and files with per-size availability; sports scores, schedules and standings across 33 leagues; and ATP/WTA tennis with per-set scores and draws.
    5
    MIT
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    Provides access to Formula 1 data including driver and constructor championship standings with support for current and historical seasons. Enables users to query F1 championship information through natural language with plans for expanded race data and telemetry.
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    MIT
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    Exposes the Camptocamp.org API to LLMs, enabling querying of alpine routes, summit altitudes, and course descriptions with reliable data to avoid hallucinations.
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    MIT
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    Connects Claude to TeamSnap accounts to access teams, rosters, events, and availability data. Supports OAuth 2.0 authentication with optional AWS serverless deployment for permanent HTTPS callback URLs.
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    Enables fetching sports odds from The Odds API and removing bookmaker margin (vig) to compute fair probabilities, with tools for today's MLB games, processed odds, and consensus lines.
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    Manages Fantasy Premier League teams via natural language, reading team data, analyzing players and fixtures, and executing actions like transfers, captain changes, and chips.
    18
    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.
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    MIT
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    An MCP server that integrates with the Playtomic API to find nearby padel courts, check availability, compare prices, and set alerts for preferred slots.
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