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Analyzing Football Statistics and Strategies

  • Why this server?

    Provides programmatic access to comprehensive football statistics and live match data via API-Football, fitting the 'analyze football' request.

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    Provides programmatic access to comprehensive football statistics and live match data via API-Football, enabling applications to retrieve league standings, team fixtures, player statistics, and real-time match events.
    Python
  • Why this server?

    Allows users to get FPL-related advice through Claude for Desktop and other MCP-compatible clients, catering to the analytical aspect of football.

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    A Model Context Protocol server that provides access to Fantasy Premier League data, allowing users to compare players, find team information, view gameweek data, and get FPL-related advice through Claude for Desktop and other MCP-compatible clients.
    7
    Python
    MIT License
    • Apple
  • Why this server?

    While primarily for EDUCHAIN, could potentially analyze football-related tokens and pools on SailFish DEX if applicable.

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    An MCP server that provides tools for interacting with EDUCHAIN, allowing Claude to query information about tokens and pools and perform swaps through SailFish DEX.
    29
    3
    TypeScript
    MIT License
  • Why this server?

    Allows users to programmatically create Minecraft builds and manage the server, which might indirectly involve building virtual football stadiums or simulations, a creative form of analysis.

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    Enables AI interactions with a running Minecraft server inside a Docker container using RCON, allowing models to programmatically create Minecraft builds and manage the server.
    4
    Python
  • Why this server?

    Provides real-time transportation data in Singapore which is not directly relevant to football analysis.

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    Facilitates real-time access to Singapore's Land Transport Authority (LTA) transportation data, offering insights into bus arrivals, train services, traffic conditions, and more through integration with the LTA DataMall API.
    7
    JavaScript
  • Why this server?

    Provides access to Dutch Railways travel information which is not directly related to football analysis.

  • Why this server?

    Enables interaction with Strava data, which can include running and other physical activities. While not directly football, could analyze athlete performance.

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    A Model Context Protocol server that enables language models to interact with Strava data, including activities, athlete statistics, routes, achievements, and social features.
    2
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    Connects Claude with Spotify to control playback and search music, indirectly related through listening to football-related music.

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    Connects Claude with Spotify to control playback, search music, get track information, and manage the queue through conversation.
    Python
  • Why this server?

    Provides access to cryptocurrency market data, which is not directly related to analyzing football but could be tangentially relevant if analyzing fan tokens or related markets.

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    Provides real-time and historical cryptocurrency market data through integration with major exchanges. This server enables LLMs like Claude to fetch current prices, analyze market trends, and access detailed trading information.
    7
    26
    Python
    MIT License
    • Apple