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GeoGuessr MCP Server
A Model Context Protocol (MCP) server for analyzing GeoGuessr game statistics with automatic API monitoring and dynamic schema adaptation.
🌟 Key Features
Dynamic API Monitoring
- Automatic endpoint discovery: Monitors GeoGuessr API endpoints daily
- Schema change detection: Automatically detects when API response formats change
- Self-adapting: Updates internal data models based on actual API responses
- No hardcoded assumptions: Works even when GeoGuessr changes their API
Comprehensive Analysis
- Profile and statistics retrieval
- Game history and round-by-round analysis
- Performance tracking and trend detection
- Strategy recommendations based on gameplay patterns
Easy Deployment
- Docker Compose for simple VPS deployment
- Production-ready with nginx and SSL support
- Persistent schema caching between restarts
🚀 Quick Start
Prerequisites
- Docker and Docker Compose
- A GeoGuessr account
1. Clone and Configure
git clone https://github.com/yourusername/geoguessr-mcp.git
cd geoguessr-mcp
cp .env.example .env
2. Deploy
docker compose up -d --build
That's it! The server is now running on port 8000.
3. Connect to Claude
Add to your Claude Desktop configuration:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"geoguessr": {
"type": "streamable-http",
"url": "http://YOUR_VPS_IP:8000/mcp"
}
}
}
🔐 Authentication
The server supports multiple authentication methods:
Option 1: Login via Claude (Recommended)
Simply ask Claude:
"Login to GeoGuessr with email: myemail@example.com and password: mypassword"
Option 2: Environment Variable
Add to your .env file:
GEOGUESSR_NCFA_COOKIE=your_cookie_value_here
Option 3: Manual Cookie
Use the set_ncfa_cookie tool with a cookie extracted from your browser.
📊 Available Tools
Authentication
| Tool | Description |
|---|---|
login |
Authenticate with email/password |
logout |
End current session |
set_ncfa_cookie |
Set authentication cookie manually |
get_auth_status |
Check authentication status |
Profile & Stats
| Tool | Description |
|---|---|
get_my_profile |
Get your profile information |
get_my_stats |
Get your game statistics |
get_extended_stats |
Get additional statistics |
get_achievements |
Get your achievements |
get_comprehensive_profile |
Get combined profile data |
Games & Activity
| Tool | Description |
|---|---|
get_activity_feed |
Get recent activity |
get_recent_games |
Get recent games with details |
get_game_details |
Get specific game information |
get_season_stats |
Get competitive season stats |
get_daily_challenge |
Get daily challenge info |
Analysis
| Tool | Description |
|---|---|
analyze_recent_games |
Analyze performance trends |
get_performance_summary |
Comprehensive performance overview |
get_strategy_recommendations |
Get personalized improvement tips |
API Monitoring
| Tool | Description |
|---|---|
check_api_status |
Check all endpoint availability |
get_endpoint_schema |
Get schema for specific endpoint |
list_available_endpoints |
List all known endpoints |
explore_endpoint |
Discover new API endpoints |
🔄 Dynamic Schema System
The server automatically adapts to API changes:
┌─────────────────────┐ ┌──────────────────┐
│ API Response │ ───▶ │ Schema Detector │
└─────────────────────┘ └────────┬─────────┘
│
▼
┌─────────────────────┐ ┌──────────────────┐
│ Schema Registry │ ◀─── │ Compare Hash │
│ (Persisted) │ └──────────────────┘
└─────────────────────┘
│
▼
┌─────────────────────┐
│ Dynamic Response │ ───▶ Available to LLM
│ with Schema Info │
└─────────────────────┘
How It Works
- Daily Monitoring: The server checks all known endpoints every 24 hours
- Schema Detection: Analyzes response structure, field types, and nesting
- Change Detection: Computes schema hash to detect modifications
- Persistence: Schemas are cached to disk and survive restarts
- Dynamic Access: Tools return data with schema information for the LLM
Example: Exploring Unknown Endpoints
User: "Can you explore the /v3/some-new-endpoint API?"
Claude uses explore_endpoint tool:
{
"success": true,
"discovered_fields": ["id", "name", "data", "timestamp"],
"schema_description": "Endpoint: /v3/some-new-endpoint\nFields:\n - id: string\n - name: string\n - data: object\n - timestamp: datetime"
}
🏭 Production Deployment
Method 1: Build and Push Docker Image
For VPS deployment, it's recommended to build and push your image to Docker Hub:
# 1. Build the image
docker build -t yourusername/geoguessr-mcp:latest .
# 2. Login to Docker Hub
docker login
# 3. Push the image
docker push yourusername/geoguessr-mcp:latest
# 4. On your VPS, pull and run
docker pull yourusername/geoguessr-mcp:latest
Method 2: Deploy with Docker Compose on VPS
Development/Testing Setup
# Clone repository on VPS
git clone https://github.com/yourusername/geoguessr-mcp.git
cd geoguessr-mcp
# Create .env file
cat > .env << EOF
GEOGUESSR_NCFA_COOKIE=your_cookie_here
DOCKER_USERNAME=yourusername
IMAGE_TAG=latest
EOF
# Deploy
docker compose up -d
Production Setup with SSL
- Create SSL certificates:
mkdir -p nginx/ssl
# Add your certificates:
# nginx/ssl/fullchain.pem
# nginx/ssl/privkey.pem
- Update docker-compose.prod.yml to use your Docker image:
# Edit docker-compose.prod.yml and uncomment the image line:
# image: ${DOCKER_USERNAME:-yourusername}/geoguessr-mcp:${IMAGE_TAG:-latest}
# Then comment out the build section
- Deploy with production compose:
docker compose -f docker-compose.prod.yml up -d
Method 3: Direct Docker Run
If you prefer not to use Docker Compose:
# Pull the image
docker pull yourusername/geoguessr-mcp:latest
# Create a volume for schema cache
docker volume create geoguessr-schemas
# Run the container
docker run -d \
--name geoguessr-mcp \
--restart unless-stopped \
-p 8000:8000 \
-e GEOGUESSR_NCFA_COOKIE=your_cookie \
-e MONITORING_ENABLED=true \
-e MONITORING_INTERVAL_HOURS=24 \
-e LOG_LEVEL=INFO \
-v geoguessr-schemas:/app/data/schemas \
yourusername/geoguessr-mcp:latest
Building Multi-Architecture Images
For deployment on different CPU architectures (ARM64, AMD64):
# Enable buildx
docker buildx create --use
# Build and push multi-arch image
docker buildx build \
--platform linux/amd64,linux/arm64 \
-t yourusername/geoguessr-mcp:latest \
--push .
Environment Variables
| Variable | Default | Description |
|---|---|---|
GEOGUESSR_NCFA_COOKIE |
- | Default authentication cookie |
MCP_PORT |
8000 | Server port |
MCP_TRANSPORT |
streamable-http | MCP transport protocol |
MONITORING_ENABLED |
true | Enable API monitoring |
MONITORING_INTERVAL_HOURS |
24 | Monitoring check interval (runs every 24h) |
SCHEMA_CACHE_DIR |
/app/data/schemas | Directory for schema persistence |
LOG_LEVEL |
INFO | Logging verbosity |
DOCKER_USERNAME |
yourusername | Your Docker Hub username (for compose files) |
IMAGE_TAG |
latest | Docker image tag |
🧪 Development
Local Development
# Create virtual environment
python -m venv venv
source venv/bin/activate
# Install dependencies
pip install -r requirements-dev.txt
# Run tests
pytest -v
# Run server locally
python -m geoguessr_mcp.main
Project Structure
geoguessr-mcp/
├── src/geoguessr_mcp/
│ ├── api/ # API client and endpoints
│ ├── auth/ # Authentication
│ ├── models/ # Data models
│ ├── monitoring/ # Schema detection & monitoring
│ ├── services/ # Business logic
│ ├── tools/ # MCP tool definitions
│ ├── config.py # Configuration
│ └── main.py # Entry point
├── tests/
│ ├── unit/ # Unit tests
│ └── integration/ # Integration tests
├── nginx/ # Production nginx config
├── docker-compose.yml # Development deployment
├── docker-compose.prod.yml # Production deployment
└── Dockerfile
🤝 Contributing
Contributions are welcome! Please:
- Fork the repository
- Create a feature branch
- Add tests for new functionality
- Submit a pull request
📝 License
MIT License - see LICENSE file for details.
⚠️ Disclaimer
This project uses the unofficial GeoGuessr API which may change without notice. The dynamic schema system helps mitigate this, but some features may break if GeoGuessr makes significant API changes.
This project is not affiliated with GeoGuessr AB.