Footballbin MCP Server
F

Footballbin MCP Server

An MCP server that provides AI predictions for Premier League and Champions League football matches, supporting real - time scores, goal predictions and player analysis
2 points
3.5K

What is the FootballBin MCP Server?

The FootballBin MCP Server is a football prediction data service specifically designed for AI assistants. Through the Model Context Protocol (MCP) standard protocol, AI assistants such as Claude can obtain detailed match prediction information for the Premier League and Champions League. These predictions are generated by AI algorithms and include professional football data such as score predictions and key player analyses.

How to use the FootballBin MCP Server?

You can use this service in three ways: 1) Add a remote endpoint directly in the Claude.ai web version; 2) Install a local server in the Claude Desktop application; 3) Call directly through the API. The simplest way is to add a remote endpoint in the settings of Claude.ai without any installation.

Applicable Scenarios

Suitable for football fans, sports analysts, gambling enthusiasts and users who need football match prediction information. You can query prediction data for specific leagues, matchweeks or teams through an AI assistant for pre - match analysis, betting reference or football knowledge learning.

Main Features

AI Match Prediction
Provide detailed match predictions, including half - time scores, full - time scores, next goal scorer and corner kick number predictions, with a confidence score attached to each prediction.
Multi - League Support
Support two top - level football events, the Premier League and the Champions League.
Key Player Analysis
Provide key player information for each match, including player performance data and selection reasons, to help understand the key points of the match.
Flexible Query
You can filter and query by league, matchweek, home team or away team, and support team aliases (e.g., Manchester United can be queried as man_utd, united or mufc).
Multiple Access Methods
Provide three access methods: remote endpoint, global npm installation and direct npx operation to meet the needs of different users.
Advantages
You can use the remote endpoint without installation, which is simple and fast to get started.
The prediction data is comprehensive, covering multiple dimensions such as scores, goal scorers and corner kicks.
It supports two top - level football leagues, with high data authority.
It is perfectly integrated with Claude.ai, providing a smooth user experience.
It provides detailed confidence scores to help judge the reliability of predictions.
Limitations
Currently, it only supports the Premier League and the Champions League, and other leagues are not supported for the time being.
You need a Node.js 18+ environment to install locally.
The prediction data is generated by AI, and the actual match results may vary.
The free version may have query frequency limitations.

How to Use

Select an Access Method
Select the most suitable access method according to your usage scenario: Users of the Claude.ai web version are recommended to use the remote endpoint; Users of Claude Desktop can choose local installation.
Claude.ai Web Version Configuration
Open Claude.ai, go to Settings > Connectors > Add Custom Connector, and enter the remote endpoint URL to complete the configuration.
Claude Desktop Local Installation
First, install Node.js 18+. Then, install the server globally via npm. Finally, add the server path to the configuration file.
Start Querying
After the configuration is completed, you can directly ask Claude for football match predictions, for example: "Please give me the match predictions for the 22nd round of the Premier League".

Usage Examples

Query Predictions for the Current Matchweek of a Specific League
A user wants to know all the match predictions for the current matchweek of the Premier League for pre - match analysis and betting reference.
Query Match Predictions for a Specific Team
A user is a Liverpool fan and wants to know the detailed prediction information for Liverpool's next match.
Query Predictions for Champions League Knockout Rounds
A user is interested in the knockout stage of the Champions League and wants to know the prediction analysis of strong - team match - ups.

Frequently Asked Questions

What software do I need to install to use this service?
Is this service free?
How accurate are the prediction data?
Which football leagues are supported?
How to query predictions for a specific matchweek?
Where is the Claude Desktop configuration file?

Related Resources

FootballBin iOS App
The full FootballBin app provides more functions such as real - time match tracking and AI player valuation.
npm Package Page
The npm package page of the FootballBin MCP Server, including version information and installation instructions.
MCP Official Registry
The official registry of the Model Context Protocol to learn more about the MCP Server.
GitHub Repository
The source code repository of the FootballBin MCP Server.
Model Context Protocol Official Website
Learn about the official documentation and technical specifications of the MCP protocol.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "footballbin": {
      "command": "/path/to/node",
      "args": ["/path/to/node_modules/footballbin-mcp-server/dist/index.js"]
    }
  }
}

{
  "mcpServers": {
    "footballbin": {
      "command": "/Users/YOU/.nvm/versions/node/v20.x.x/bin/node",
      "args": ["/Users/YOU/.nvm/versions/node/v20.x.x/lib/node_modules/footballbin-mcp-server/dist/index.js"]
    }
  }
}

{
  "mcpServers": {
    "footballbin": {
      "command": "/opt/homebrew/bin/node",
      "args": ["/opt/homebrew/lib/node_modules/footballbin-mcp-server/dist/index.js"]
    }
  }
}

{
  "mcpServers": {
    "footballbin": {
      "command": "C:\\Program Files\\nodejs\\node.exe",
      "args": ["C:\\Users\\YOU\\AppData\\Roaming\\npm\\node_modules\\footballbin-mcp-server\\dist\\index.js"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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