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"A framework for building cross-platform mobile applications using Flutter" matching MCP servers:

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    Live sports betting odds, cross-book +EV, and graded player-prop resolution across 13 books.
    11
    550
    1
    MIT
  • A
    license
    B
    quality
    B
    maintenance
    Python MCP server that provides comprehensive access to MLB statistics and baseball data through a FastAPI-based interface. Acts as a bridge between AI applications and MLB data sources, enabling seamless integration of baseball statistics, game information, player data, and more.
    24
    57
    MIT
  • A
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    Enables fast real-time web search and access to premium data from trusted sources including news, financial markets, sports, and more. Supports AI agents with live data and curated content from various domains.
    11
    MIT
  • A
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    quality
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    Read-only MCP server for the PlayMetrics youth-sports club management platform, enabling AI agents to query clubs, teams, players, schedules, registrations, and payments.
    1
    MIT
  • F
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    MCP server for the Spark Membership platform enabling class scheduling, bookings, attendance management through any MCP client.
  • F
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    quality
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    MCP server that wraps SportsGameOdds and BALLDONTLIE APIs to provide sports scheduling, odds, injuries, and team statistics tools for building TKB Picks threads.
  • F
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    An open-source MCP server that turns any AI assistant into a football data analytics and scouting platform, enabling natural language queries over 40+ stats, 20+ leagues, and 10,000+ players.
    1
  • A
    license
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    quality
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    maintenance
    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
    4
    MIT
  • A
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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.
    12
    2
    Apache 2.0
  • A
    license
    A
    quality
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    maintenance
    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
  • A
    license
    A
    quality
    B
    maintenance
    Enables AI agents to query live sports betting data including odds, edges, arbitrage opportunities, player/team stats, and reference data using the SportWizzard API.
    20
    153
    MIT
  • F
    license
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    Provides access to Fantasy NBA Israel League statistics including team rankings, player stats, roster details, and shooting analytics for a specific private fantasy basketball league.
    5
  • A
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    quality
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    Enables users to query MLB Statcast, FanGraphs, and Baseball Reference data using natural language through an AI assistant. It provides comprehensive tools for analyzing player performance, pitch-level data, season leaderboards, and team standings.
    24
    34
    MIT
  • A
    license
    A
    quality
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    maintenance
    Provides access to KenPom basketball analytics through MCP tools. Enables querying ratings, efficiency, player stats, and more using natural language.
    18
    1
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Real-time tennis data for ATP, WTA, Challenger and ITF: live scores, player rankings, match-winner odds, and model win-probability. 12 read-only tools; a tier-gated endpoint returns a plain-English explanation of which plan it needs rather than a bare 403. Requires a paid API key.
    2
    24
    296
    190
    MIT
  • A
    license
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    quality
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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.
    11
    5
    MIT
  • A
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    A
    quality
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    maintenance
    Provides comprehensive running performance calculations including VDOT, training paces, race time predictions, velocity markers, and heart rate zones using Jack Daniels, Greg McMillan, and Riegel methodologies.
    9
    MIT