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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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    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.
    17
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    MIT
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    Read-only MCP server for Counter-Strike schedules, results, teams, players, and events from HLTV.org, offering tools to search entities, list matches, and get match details.
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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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    MIT
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    CLI and MCP server for EdgeFinder sports analysis. Get AI-powered NFL, NBA, and MLB betting recommendations, player stats, odds, schedules, and Polymarket portfolio tracking from your terminal or AI agent.
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    MIT
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    A server for querying surf spot data and searching spots, with tools to list regions, spots, get spot info, find spots by criteria, and get mock forecasts.
    MIT
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    Get live scores, schedules, standings, team and player data for NFL, NBA, MLB, NHL, soccer, and more via MCP.
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    Apache 2.0
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    Provides intelligent access to OPTA football API documentation with automatic authentication, allowing users to query specific endpoint documentation and get answers about soccer match data, events, fixtures, and statistics through natural language.
    5
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    Finds marked hiking routes from OpenStreetMap filtered by locally-computed elevation gain, distance, loop shape, and car/chairlift access, providing consistent and tunable metrics instead of third-party scraped data.
    1
    MIT
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    Read-only MCP server for sourced Dota 2 tournament, team, player, schedule, and result data from Liquipedia, with revision-level metadata and caching.
    5
    MIT
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    Provides access to real-time data from the French Basketball Federation (FFBB), including live scores, standings, and competition details. It allows users to search for clubs, matches, and venues using natural language without requiring an API key.
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    Apache 2.0
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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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    Tells you when your favourite football teams play and where to watch in Denmark, using data from TheSportsDB.com and built-in Danish broadcast hints.
    4
    MIT
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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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    MCP server that brings live Australian racing and sports odds from 12 bookmaker/exchange sources into AI assistants, with per-price age data and tools for next races, best odds, results, and movers.
    9
    MIT
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    Real-time prediction market consensus data for AI agents. Aggregates probabilities from 27,000+ markets across politics, sports, and economics with 14-second updates. Tools: get_markets, get_consensus, get_movers, get_divergences, search_markets.
    5
    MIT
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    Provides AI-powered sports betting intelligence including live odds, injury reports, and documented picks for NBA, NHL, and NCAAB. It enables AI agents to analyze line movements, win rates, and betting edges using real-time data from sportsbettingaianalyzer.com.
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    MIT
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    Provides professional cycling data from FirstCycling, allowing users to retrieve comprehensive information about cyclists, race results, historical cycling data, and team information through natural language queries.
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    MIT