FootballBin MCP Server
# FootballBin MCP Server
[](https://www.npmjs.com/package/footballbin-mcp-server)
[](https://registry.modelcontextprotocol.io)
[](https://opensource.org/licenses/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)
```bash
npm install -g footballbin-mcp-server
```
### Option 2: npx (No Install)
```bash
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
```bash
npm install -g footballbin-mcp-server
```
**Step 2:** Find your Node.js path (must be v18+)
```bash
which node && node --version
```
**Step 3:** Add to `claude_desktop_config.json`:
```json
{
"mcpServers": {
"footballbin": {
"command": "/path/to/node",
"args": ["/path/to/node_modules/footballbin-mcp-server/dist/index.js"]
}
}
}
```
**Example configs:**
macOS with nvm:
```json
{
"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:
```json
{
"mcpServers": {
"footballbin": {
"command": "/opt/homebrew/bin/node",
"args": ["/opt/homebrew/lib/node_modules/footballbin-mcp-server/dist/index.js"]
}
}
}
```
Windows:
```json
{
"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
```json
{
"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
```bash
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
```bash
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
- **npm**: https://www.npmjs.com/package/footballbin-mcp-server
- **Official MCP Registry**: https://registry.modelcontextprotocol.io
- **GitHub**: https://github.com/billychl1/footballbin-mcp-server
## FootballBin App
Get the full experience with the FootballBin iOS app:
[](https://apps.apple.com/app/footballbin/id6757111871)
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](LICENSE) file.
## Links
- [FootballBin App](https://apps.apple.com/app/footballbin/id6757111871)
- [Model Context Protocol](https://modelcontextprotocol.io)
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined and distinct by default.
A single tool inherently has perfect naming consistency, as there are no other tools to compare it against for patterns or conventions.
One tool is too few for a server focused on football match predictions, as it suggests a limited scope that may not cover related operations like historical data, team statistics, or user preferences. This feels thin for the apparent domain.
The server is severely incomplete for football predictions, as it only provides predictions without supporting tools for data retrieval, updates, or other predictive features like odds analysis or match scheduling. This creates significant gaps for agent workflows.