ai-mldeveloper-tools

FootballBin

billychl1

by billychl1

FootballBin — AI football predictions for Premier League & Champions League: match scores, goal scorers, corners. Reliab

AI match predictions for Premier League and Champions League including scores, goal scorers, and corners.

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Covers major European competitionsMulti-dimensional predictions beyond just scores

best for

  • / Sports betting analysis and research
  • / Fantasy football team optimization
  • / Sports journalism and content creation
  • / Football analytics and statistics projects

capabilities

  • / Get match score predictions for Premier League games
  • / Predict goal scorers for upcoming matches
  • / Forecast corner kick statistics
  • / Access Champions League match predictions
  • / Retrieve detailed match outcome forecasts

what it does

Provides AI-generated predictions for Premier League and Champions League matches, including final scores, goal scorers, and corner kick counts.

about

FootballBin is a community-built MCP server published by billychl1 that provides AI assistants with tools and capabilities via the Model Context Protocol. FootballBin — AI football predictions for Premier League & Champions League: match scores, goal scorers, corners. Reliab It is categorized under ai ml, developer tools.

how to install

You can install FootballBin in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

FootballBin is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

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\
odejs\
ode.exe",
      "args": ["C:\Users\YOU\AppData\Roaming\
pm\
ode_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

ParameterTypeRequiredDescription
leaguestringYespremier_league, epl, pl, champions_league, ucl, cl
matchweeknumberNoMatchweek number (defaults to current)
home_teamstringNoFilter by home team (e.g., chelsea, arsenal)
away_teamstringNoFilter by away team (e.g., liverpool, wolves)

Team Aliases

AliasMaps To
united, mufcman_utd
city, mcfcman_city
spurstottenham
villaaston_villa
forestnottm_forest
palacecrystal_palace
gunnersarsenal
redsliverpool
blueschelsea
barcabarcelona
realreal_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

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

License

MIT License - see LICENSE file.

Links

FAQ

What is the FootballBin MCP server?
FootballBin is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for FootballBin?
This profile displays 68 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.668 reviews
  • Zara Farah· Dec 24, 2024

    We wired FootballBin into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Hiroshi Bansal· Dec 20, 2024

    FootballBin is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Hassan White· Dec 12, 2024

    Useful MCP listing: FootballBin is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Zara Sharma· Dec 8, 2024

    FootballBin reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Emma Park· Dec 8, 2024

    FootballBin is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Zara Haddad· Nov 27, 2024

    We wired FootballBin into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • James Okafor· Nov 27, 2024

    Useful MCP listing: FootballBin is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Zara Srinivasan· Nov 15, 2024

    FootballBin reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Mei Brown· Nov 11, 2024

    Useful MCP listing: FootballBin is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Zara Shah· Nov 3, 2024

    FootballBin is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

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