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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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    2
    MIT
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    Enables MCP clients to fetch live football odds and team form, and flag matches where the market price diverges from a simple form-based estimate.
    Eclipse Public 2.0
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    Provides access to live NHL game data, team and player statistics, standings, schedules, playoff information, and head-to-head comparisons through natural language queries using official NHL APIs.
    MIT
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    Enables AI assistants to query MyFantasyLeague rosters, standings, trades, free agents, and draft picks across private, dynasty, and IDP leagues in read-only mode. It supports multiple leagues and current or previous seasons without making changes in MFL.
    14
    MIT
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    Official ResultsZA MCP server: South African lottery results, number checking, hot and cold numbers and SA horse racing results in Claude, Cursor and VS Code. Uses your own ResultsZA API key.
    1
    MIT
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    Answers lineup, trade, waiver, and playoff-odds questions by running deterministic Python analysis and returning conclusions, not raw data.
    MIT
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    Exposes court-availability data as a read-only panel rendered in MCP hosts (Claude Desktop, VS Code, test host) via a UI resource.
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    An MCP server that lets an LLM query a DuckDB warehouse of EuroLeague and EuroCup basketball data in natural language, offering tools for player and team stats, shot charts, boxscores, and fantasy draft analysis without contacting upstream APIs.
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    MIT
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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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    Enables retrieval of live odds from 24 Kambi-powered sportsbooks in a single call, with one row per game showing each book's price and the best price per outcome.
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    MIT
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    Enables AI clients to perform opponent scouting, retrieve athlete box scores, diagnose P1–P6 rotation sideout issues, audit serve-receive, and export event-level touches to DataVolley (.dvw) or pandas.
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    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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    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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    MIT
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    Provides Claude Code and Claude Desktop with safe, read-only access to your local Garmin training data, readiness decisions, run details, and trends so you can get coaching advice in natural language.
    15
    164 PyPI
    9
    MIT
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    Enables Claude Desktop to score ski or snowboard days out of 100 from snow, temperature, wind, and visibility inputs, returning verdicts and practical tips, and to convert temperature, wind speed, and snow depth between metric and imperial units.
    4
    MIT
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    Allows Claude to access French Chess Federation public data in conversation, including player search, department tournament listings, tournament details, rankings, and round-by-round player results.
    5
    MIT
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    Enables AI assistants to query a user's own Garmin Connect training, health, and recovery history through Garmin's official Personal API, backed by a local cache and built-in analysis tools.
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    117 npm
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    Apache 2.0
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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.
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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.
    15
    347 npm
    MIT
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    MCP server that connects Claude or any MCP-capable LLM to your Garmin golf data, enabling natural-language queries on rounds, shots, strokes gained, club distances, course intel, and health-performance correlations from a private local DuckDB cache.
    13
    MIT
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    NFL fantasy football data over MCP. Compare any two players head to head, pull position rankings in PPR, half-PPR or standard, check positional scarcity and bye-week conflicts.
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    MIT
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    Enables AI assistants to read your SisRUN training plan with your own credentials and answer questions about prescribed workouts, like weekly coach plans, in a structured format.
    3
    MIT
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    Enables read-only access to Turkish Football Federation data from tff.org, so AI agents can look up league standings, fixtures and results, full match details such as officials and lineups, and top scorers across 18 leagues from the Süper Lig down to youth development leagues. Group filtering, match-week filters and scorer limits are supported, letting users answer detailed Turkish football questions by league or specific match.
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    MIT
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    Turns a football take into a 1v1 challenge bet, previews the rule it settles by, shares a link the other side can accept, and pays out winnings once official match data or an AI judge resolves it. Runs against live escrow contracts on Monad testnet with free test dollars, so no one holds the stakes.
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    34 npm
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    MIT
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    West Coast Swing points in your AI assistant: any WSDC dancer’s divisions per role, points, results, level-ups and finals partners, event winners by year, what’s new in the registry, and the official rules. Free, read-only, no sign-up. A dancer’s profile renders as an interactive card. Unofficial mirror of the public WSDC Points Registry, not affiliated with the World Swing Dance Council.
    9
    MIT
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    Enables users to check whether a beach suits a beach day or a surf session today or up to six days ahead, using Open-Meteo weather and marine forecasts scored by deterministic, documented rules. It exposes tools for raw hourly forecast data, suitability scores and verdicts by activity and skill level, and finding the best multi-hour window within a day.
    4
    MIT
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    Enables AI assistants to monitor a Sleeper fantasy football draft in real time by retrieving draft picks, available players, current turn, and roster needs through Sleeper's public keyless API.
    8
    MIT
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    Enables AI agents to query Matrix / Johnson Fitness ride history, exposing per-10-second power, cadence, resistance and heart-rate samples plus cross-ride views like power curves, training volume, and ride comparisons. Runs over a cached history downloaded without credentials, or signs in once to refresh it.
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    77 npm
    MIT
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    MCP server for Bosch eBike Flow (Smart System / BES3). Read-only access to battery health and charge-cycle trends, components and firmware, live state-of-charge, and per-ride activity data (distance, elevation, power, assist-mode, CO2), signing in with your own Bosch account via PKCE.
    12
    569 PyPI
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    GPL 3.0
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    Enables an LLM to query roughly four million OpenPowerlifting meet results stored in Parquet and read through DuckDB, so users can search lifters by name, pull every meet and attempt for a lifter, rank a total as a percentile within a filtered field, and compare career bests across lifters.
    4
    MIT
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    Ask your AI assistant about your Garmin data: sleep, HRV, recovery, training, km splits and more. Uses Garmin's official Personal API: no password, read-only, and nothing breaks when Garmin changes its login. Install in Claude Desktop with one click, run locally with npx -y garmin-mcp, or self-host on Cloudflare for phone and web apps.
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    MIT
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    Enables AI agents to read Varzesh3's live scores, match details, league tables, fixtures, team and player data, transfers, TV schedules, news, and videos through 18 read-only tools without requiring an API key or account.
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    195 PyPI
    MIT
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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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    MIT
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    Garmin Connect for Claude and any MCP client, on Garmin's official Personal API. Read-only access to sleep, HRV, Body Battery, stress, heart rate, activities and weight with a revocable key, no password or scraping.
    26
    1,568 PyPI
    69
    MIT
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    Enables MCP clients to read a user's own Rouvy activities, including summaries and per-second data for splits, selected time-window analysis, and downsampled streams; optionally exports FIT or CSV files when configured.
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    75 npm
    MIT
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    Provides read-only access to pre-kick-off football match outcome probabilities and the open record of how those predictions turned out, including match listings, per-match analysis, and aggregate hit rates with baselines. It requires no account or API key and lets users query results by date, week, language, and time zone.
    3
    MIT