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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
    41 PyPI
    2
    MIT
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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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    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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    GB & Irish horse racing signals for AI agents: per-runner AI scores, de-overrounded fair prices, draw-bias aggregates, trainer-jockey strike rates, and Racing Alpha's database-frozen public tips ledger (losses included).
    5
    MIT
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    Live ski & snow data for AI agents: 14-day multi-model forecasts, powder rankings, resort guides, webcams, ski-pass intelligence, and avalanche/road safety across 500+ resorts. Hosted streamable-HTTP — no install, no auth.
    40
    1
    MIT
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    Connects Claude to Sleeper fantasy football leagues, providing read-only tools for rosters, matchups, standings, transactions, player search, and trending players, with multi-league support.
    MIT
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    Provides read-only, league-aware Sleeper fantasy football draft context to AI assistants, including live picks, rosters, and player availability over Streamable HTTP MCP.
    99 npm
    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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    Enables AI agents to discover, browse, and trade structured sports tokens on the SPRTX network via JSON-RPC 2.0 over Streamable HTTP.
    Apache 2.0
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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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    Enables querying Dota 2 data (hero stats, player matches, player heroes) via the STRATZ API, with support for arbitrary GraphQL queries.
    31 npm
    MIT
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    An HTTP broker that exposes Strava data and operations (activities, routes, segments, etc.) as MCP tools, allowing users to interact with their own Strava account via natural language using per-user OAuth2 authentication.
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    Enables Claude to query Sleeper's public fantasy football API over Streamable HTTP, covering leagues, rosters, drafts, matchups, player stats, trends, and player search. Roster data keeps IR (reserve) and taxi players distinct and enriched with player names, positions, teams, and statuses.
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  • F
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    Provides surf forecast data including swell height, period, direction, and wind conditions for any location worldwide using the Open-Meteo Marine API. It also includes tools to find the best day to surf and integrates with MCP clients via a Python server.
    21
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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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    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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    Enables querying table tennis ratings, players, tournaments, and halls from rttf.ru, with respect for robots.txt restrictions.
    5
    MIT
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    Fantasy Premier League stats and press coverage for AI agents: read-only SQL over FPL player, fixture and gameweek data, plus semantic search over BBC Sport and Guardian articles and FPL injury news. Bring your own PostgreSQL and Pinecone, with bundled ingestion jobs.
    1
    151 PyPI
    MIT