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Footballbin Mcp Server

  • Updated January 10, 2026
  • billychl1/footballbin-mcp-server

Footballbin MCP Server is an MCP server that supplies AI match predictions for Premier League and Champions League fixtures including scores, goals, and corners.

About

Footballbin MCP Server exposes football match predictions—scoped to Premier League and Champions League—with emphasis on scores, goals, and corners style outputs you can pull into an agent session. For most SaaS developers this is a specialty integration, useful when you are growing a sports newsletter, betting-adjacent analytics experiment, or fantasy community product rather than when you ship developer tooling. The value is turning model-style predictions into structured fodder your agent can summarize, compare across fixtures, or slot into content calendars. It runs as a stdio npm MCP server (v1.0.4), which makes it straightforward to wire into Claude Code or Cursor alongside your editorial prompts. Treat predictions as probabilistic signals, not financial advice; your compliance and responsible-gambling messaging stay your responsibility. If you are not in the sports vertical, skip this and pick a general analytics MCP instead.

  • Match predictions for Premier League and Champions League per server description
  • Surfaces scores, goals, and corners style outputs for agent-driven drafting
  • stdio npm package footballbin-mcp-server v1.0.4
  • Narrow vertical data MCP rather than general business analytics

Footballbin Mcp Server by the numbers

  • Data as of Jul 7, 2026 (Skillselion catalog sync)
terminal
claude mcp add footballbin-mcp-server -- npx -y footballbin-mcp-server

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Listed on Skillselion
Packagefootballbin-mcp-server
TransportSTDIO
AuthNone
Last updatedJanuary 10, 2026
Repositorybillychl1/footballbin-mcp-server

What it does

Pull AI-style Premier League and Champions League match predictions (scores, goals, corners) into an agent workflow for sports content or analytics side projects.

Who is it for?

Best when you're running football prediction blogs, newsletters, Discord bots, or fantasy helper apps tied to PL and UCL.

Skip if: General SaaS founders who need product analytics, revenue metrics, or non-sports data pipelines.

What you get

After you connect Footballbin, your agent can fetch prediction-style match data and speed up content production for football-focused channels.

  • Agent-accessible PL and UCL match prediction outputs
  • Structured signals for scores, goals, and corners oriented content drafts

By the numbers

  • Server version 1.0.4 on npm identifier footballbin-mcp-server
  • Catalog description cites Premier League and Champions League coverage
README.md

FootballBin MCP Server

npm version MCP Registry License: MIT

A Model Context Protocol (MCP) server that provides AI agents with access to football match predictions for the Premier League and Champions League.

Requirements

  • Node.js 18+ (check with node --version)

Installation

Option 1: npm (Recommended)

npm install -g footballbin-mcp-server

Option 2: npx (No Install)

npx footballbin-mcp-server

Option 3: Remote Endpoint

No installation required - use the hosted endpoint directly:

https://ru7m5svay1.execute-api.eu-central-1.amazonaws.com/prod/mcp

Quick Start

Claude.ai (Easiest - No Install)

  1. Go to Settings > Connectors
  2. Click Add custom connector
  3. Enter: https://ru7m5svay1.execute-api.eu-central-1.amazonaws.com/prod/mcp

Claude Desktop

Requires Node.js 18+

Step 1: Install globally

npm install -g footballbin-mcp-server

Step 2: Find your Node.js path (must be v18+)

which node && node --version

Step 3: Add to claude_desktop_config.json:

{
  "mcpServers": {
    "footballbin": {
      "command": "/path/to/node",
      "args": ["/path/to/node_modules/footballbin-mcp-server/dist/index.js"]
    }
  }
}

Example configs:

macOS with nvm:

{
  "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"]
    }
  }
}

macOS with Homebrew:

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

Windows:

{
  "mcpServers": {
    "footballbin": {
      "command": "C:\\Program Files\\nodejs\\node.exe",
      "args": ["C:\\Users\\YOU\\AppData\\Roaming\\npm\\node_modules\\footballbin-mcp-server\\dist\\index.js"]
    }
  }
}

Config file location:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json

Other MCP Clients

Use the remote endpoint:

https://ru7m5svay1.execute-api.eu-central-1.amazonaws.com/prod/mcp

Features

  • AI Match Predictions:

    • Half-time score
    • Full-time score
    • Next goal scorer
    • Corner count predictions
  • Supported Leagues:

    • Premier League (EPL)
    • UEFA Champions League (UCL)
  • Key Players: Each match includes key player insights with reasoning

Tool: get_match_predictions

Input Parameters

Parameter Type Required Description
league string Yes premier_league, epl, pl, champions_league, ucl, cl
matchweek number No Matchweek number (defaults to current)
home_team string No Filter by home team (e.g., chelsea, arsenal)
away_team string No Filter by away team (e.g., liverpool, wolves)

Team Aliases

Alias Maps To
united, mufc man_utd
city, mcfc man_city
spurs tottenham
villa aston_villa
forest nottm_forest
palace crystal_palace
gunners arsenal
reds liverpool
blues chelsea
barca barcelona
real real_madrid

Example Response

{
  "league": "premier_league",
  "matchweek": 22,
  "count": 10,
  "app_link": "https://apps.apple.com/app/footballbin/id6757111871",
  "matches": [
    {
      "match_id": "epl_mw22_liv_bur",
      "home_team": "Liverpool",
      "away_team": "Burnley",
      "kickoff_time": "2026-01-17T15:00:00Z",
      "status": "scheduled",
      "predictions": [
        { "type": "Half Time Result", "value": "2:0", "confidence": 75 },
        { "type": "Full Time Result", "value": "4:0", "confidence": 75 },
        { "type": "Next Goal", "value": "Home,Wirtz", "confidence": 75 },
        { "type": "Corner Count", "value": "9:3", "confidence": 75 }
      ],
      "key_players": [
        {
          "player_name": "Florian Wirtz",
          "reason": "12 goals, 14 assists. Liverpool's creative hub."
        }
      ]
    }
  ]
}

Direct API Usage

List Tools

curl -X POST https://ru7m5svay1.execute-api.eu-central-1.amazonaws.com/prod/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","method":"tools/list","id":1}'

Get Predictions

curl -X POST https://ru7m5svay1.execute-api.eu-central-1.amazonaws.com/prod/mcp \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc": "2.0",
    "method": "tools/call",
    "params": {
      "name": "get_match_predictions",
      "arguments": {"league": "premier_league"}
    },
    "id": 1
  }'

Registry Links

FootballBin App

Get the full experience with the FootballBin iOS app:

Download on App Store

Features:

  • Live match tracking
  • AI player valuations
  • Detailed match predictions
  • Player news and discussions

Technical Details

  • Protocol: JSON-RPC 2.0 / MCP
  • Transport: stdio (npm) or HTTPS (remote)
  • Runtime: Node.js 20+

Error Codes

Code Meaning
-32700 Parse error
-32600 Invalid request
-32601 Method not found
-32602 Invalid params

License

MIT License - see LICENSE file.

Links

Recommended MCP Servers

How it compares

Vertical sports prediction data MCP, not a general web research or business intelligence server.

FAQ

Who is Footballbin MCP Server for?

Creators and developers building football-focused content or lightweight prediction experiences around Premier League and Champions League matches.

When should I use Footballbin MCP Server?

Use it when you publish regular match previews or community updates and want your agent to pull structured prediction signals instead of hand-researching fixtures.

How do I add Footballbin MCP Server to my agent?

Add the footballbin-mcp-server npm package (v1.0.4) to your MCP client’s stdio configuration and call its tools from prompts that need PL/UCL prediction data.

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