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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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    Enables reading ESPN fantasy football league settings, rosters, free agents, matchups, and transactions, and managing lineups, adds/drops, and waiver claims through MCP tools over stdio.
    11
    1
    MIT
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    A read-only MCP server that supplies live context from Sleeper fantasy-football leagues, including rosters, trade analysis, draft picks, and league settings via Sleeper's public API.
    11
    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
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    An MCP server that provides league-accurate fantasy football advice by scoring projections against your Sleeper league's actual scoring settings and roster shape, answering draft, trade, waiver, and lineup questions.
    MIT
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    Enables any MCP client to read and change your Teamarr sports-EPG configuration, including teams, event groups, templates, settings, channels, and Dispatcharr sync. Also provides curated tools for safe settings updates, template fillers, event channel summaries, unmatched stream discovery, and TheSportsDB gating checks.
    1
    MIT
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    Enables users to ask ChatGPT or Claude where a runner or cyclist is in a live race, how the race is going, and what the weather along the course will be, returning live maps and 3D route flyovers inline in the chat. Also surfaces cycling tour day-by-day routes, GPX links and organiser notes, all read-only and free.
    MIT
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    Enables AI apps to read and manage a PADI online dive logbook, including listing, searching, logging, editing, and deleting dives, plus statistics, certifications, dive site search, verification requests, settings, and attached photos through natural-language interaction.
    MIT
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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.
    5
    MIT
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    MCP server providing Claude live access to USL Super League data—teams, matches, standings, rosters, and schedule-strength analytics—via the ESPN public API.
    11
    MIT
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    Provides access to the Statbotics API for FIRST Robotics Competition statistical data and predictions. Enables AI assistants and other MCP clients to retrieve FRC team EPA ratings, event predictions, and match analytics.
    14
    85 npm
    MIT
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    Enables AI clients to securely connect to Volleymetrics and Hudl volleyball analytics for opponent scouting, rotation diagnostics, box scores, serve-receive audits, and DataVolley export.
    8
    MIT
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    Gives Claude read-only access to your ESPN fantasy football team, including roster, weekly matchup, free agents, and player profiles.
    13
    GPL 2.0
  • F
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    Interprets advanced hockey player cards to translate metrics into plain-language assessments, supporting player evaluation, claim verification, and player comparisons with deterministic rules.
    5
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    MCP server that gives Claude live access to Major League Soccer data — teams, matches, standings, rosters, and schedule-strength analytics — via the ESPN public API.
    11
    MIT
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    Provides AI agents with direct access to KingsPlaybook's sports data including confirmed lineups, player projections, game lines, and pick history via native MCP tools.
    5
    32 npm
    MIT
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    MCP server that gives Claude live access to Women's Super League (England) data — teams, matches, standings, rosters, and schedule-strength analytics — via the ESPN public API.
    11
    MIT
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    Enables AI assistants to read a Comunio fantasy football league's squad, market, offers, standings, and transfers, and to act on the user's behalf by bidding, selling, and setting the lineup.
    19
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    MIT
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    Analyzes your Trackman golf data to diagnose weaknesses and generate personalized practice plans with drills and progress tracking, acting as a data-driven coach.
    8
    51 PyPI
    3
    MIT
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    MCP server that connects AI assistants to the Statos football analytics platform, enabling natural language queries for match predictions, betting picks, league information, and admin market-suppression controls.
    7
    16 npm
    MIT
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    A read-only MCP server that provides access to the public Basketball Vlaanderen (VBL) API, enabling users to query clubs, teams, matches, standings, and more.
    10
    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 Claude to access live Premier League data—teams, matches, standings, rosters, player details, and schedule-strength analytics—through natural language.
    12
    MIT
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    Enables AI agents to read and analyze your Boardsesh climbing logbook across boards like Kilter, Tension, and MoonBoard, with read-only access and optional credentials for personalized recommendations.
    12
    19 PyPI
    MIT
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    Enables read-only access to Sleeper fantasy sports data, including users, leagues, rosters, matchups, transactions, drafts, players, trending activity, playoff brackets, traded picks, and sport state via MCP tools.
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    Enables AI agents to read and analyze your Kilter Board logbook, including sessions, sends, projects, and grade progress, entirely read-only.
    9
    33 PyPI
    2
    MIT
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    Provides read-only access to the Sleeper Fantasy Sports API for league info, rosters, matchups, drafts, transactions, and player data.
    18
    117 npm
    1
    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.
    7
    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
    1
    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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    Provides access to the r.ttw.ru table tennis rating site, enabling searches for players, matches, head-to-head encounters, and tournaments via MCP tools.
    5
    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.
    3
    17 npm
    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