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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.
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    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.
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    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.
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    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.
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    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.
    Last updated -
    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.
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    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.
    Last updated -
    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.
    Last updated -
    7
    26
    Python
    MIT License
    • Apple