.dockerignore

@@ -0,0 +1,70 @@
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+*.egg-info/
+dist/
+build/
+*.egg
+
+# Virtual environments
+venv/
+env/
+ENV/
+.venv
+
+# IDE
+.vscode/
+.idea/
+*.swp
+*.swo
+*~
+
+# Git
+.git/
+.gitignore
+.gitattributes
+
+# Documentation
+*.md
+!pyproject.toml
+docs/
+
+# Tests
+tests/
+.pytest_cache/
+.coverage
+htmlcov/
+.tox/
+.mypy_cache/
+
+# CI/CD
+.github/
+.gitlab-ci.yml
+.travis.yml
+
+# Environment
+.env
+.env.local
+.env.*.local
+
+# Logs
+*.log
+
+# OS
+.DS_Store
+Thumbs.db
+
+# Docker
+Dockerfile*
+docker-compose*.yml
+.dockerignore
+
+# Nginx
+nginx/
+
+# Data directories (will be mounted as volumes)
+data/
+schemas/

.env.example

@@ -57,3 +57,12 @@ REQUEST_TIMEOUT=30.0
 
 # Maximum retry attempts for failed requests
 MAX_RETRIES=3
+
+# =============================================================================
+# Docker Configuration (for Docker Compose deployments)
+# =============================================================================
+# Your Docker Hub username (used when pulling pre-built images)
+DOCKER_USERNAME=yourusername
+
+# Docker image tag to use (e.g., latest, v1.0.0, dev)
+IMAGE_TAG=latest

CLAUDE.md

@@ -0,0 +1,337 @@
+# CLAUDE.md - Development Guide for AI Assistants
+
+This document provides context for AI assistants (like Claude) working on the GeoGuessr MCP Server project.
+
+## Project Overview
+
+**GeoGuessr MCP Server** is a Model Context Protocol (MCP) server that provides Claude with tools to analyze GeoGuessr game statistics. The server features automatic API monitoring and dynamic schema adaptation to handle API changes gracefully.
+
+### Key Architecture Components
+
+```
+geoguessr-mcp/
+├── src/geoguessr_mcp/
+│   ├── api/              # GeoGuessr API client and response handling
+│   ├── auth/             # Authentication management
+│   ├── models/           # Data models (Profile, Stats, Games, etc.)
+│   ├── monitoring/       # Dynamic schema detection and API monitoring
+│   │   ├── endpoint/     # Endpoint monitoring logic
+│   │   └── schema/       # Schema detection and registry
+│   ├── services/         # Business logic services
+│   ├── tools/            # MCP tool definitions
+│   ├── config.py         # Configuration and settings
+│   └── main.py           # Application entry point
+├── tests/                # Unit and integration tests
+├── Dockerfile            # Container definition
+├── docker-compose.yml    # Development deployment
+└── docker-compose.prod.yml # Production deployment with nginx
+```
+
+## Core Concepts
+
+### 1. Dynamic Schema System
+
+The server automatically adapts to GeoGuessr API changes:
+
+- **Schema Detection**: Analyzes API responses to detect field types, structure, and nesting
+- **Change Detection**: Uses hash-based comparison to identify schema modifications
+- **Persistence**: Caches schemas to disk for survival across restarts
+- **Monitoring**: Runs periodic checks (every 24 hours by default) on all known endpoints
+
+**Key Files**:
+- `src/geoguessr_mcp/monitoring/schema/schema_detector.py` - Analyzes response structure
+- `src/geoguessr_mcp/monitoring/schema/schema_registry.py` - Manages schema storage
+- `src/geoguessr_mcp/monitoring/endpoint/endpoint_monitor.py` - Periodic monitoring
+
+### 2. MCP Tool Architecture
+
+Tools are organized by domain:
+- **auth_tools.py** - Authentication (login, logout, cookie management)
+- **profile_tools.py** - User profiles and statistics
+- **game_tools.py** - Game history and details
+- **analysis_tools.py** - Performance analysis and recommendations
+- **monitoring_tools.py** - API health and endpoint exploration
+
+Each tool returns a `DynamicResponse` which includes both the data and schema information.
+
+### 3. Authentication Flow
+
+The server supports three authentication methods:
+1. **Environment variable**: `GEOGUESSR_NCFA_COOKIE` in .env
+2. **Login tool**: Email/password authentication via MCP
+3. **Manual cookie**: Direct cookie setting via tool
+
+Session state is managed in `src/geoguessr_mcp/auth/session.py`.
+
+## Docker Deployment
+
+### Build Process
+
+The Dockerfile uses a multi-stage approach:
+1. Install dependencies from `pyproject.toml` using `uv` for speed
+2. Copy source code
+3. Run the server via `python -m geoguessr_mcp.main`
+
+**Important**: The Dockerfile does NOT use a separate `requirements.txt`. It installs directly from `pyproject.toml`.
+
+### Deployment Options
+
+1. **Local Build**: `docker compose up -d --build`
+2. **Docker Hub**: Build, tag, push, then pull on VPS
+3. **Production**: Use `docker-compose.prod.yml` with nginx reverse proxy
+
+### Monitoring Configuration
+
+Monitoring runs every 24 hours by default:
+- Set `MONITORING_ENABLED=true` to enable
+- Set `MONITORING_INTERVAL_HOURS=24` for interval
+- Schemas are persisted in `/app/data/schemas` volume
+
+## Development Workflow
+
+### Running Tests
+
+```bash
+# Unit tests
+pytest tests/unit/ -v
+
+# Integration tests (requires auth)
+pytest tests/integration/ -v
+
+# With coverage
+pytest --cov=src/geoguessr_mcp tests/
+```
+
+### Local Development
+
+```bash
+# Install dependencies
+pip install -e ".[dev]"
+
+# Run server locally
+python -m geoguessr_mcp.main
+
+# Or use the entry point
+geoguessr-mcp
+```
+
+### Code Quality
+
+- **Formatter**: Black (line length 100)
+- **Linter**: Ruff
+- **Type Checker**: MyPy (strict mode)
+
+Run checks:
+```bash
+black src/ tests/
+ruff check src/ tests/
+mypy src/
+```
+
+## Common Tasks
+
+### Adding a New Tool
+
+1. Create tool function in appropriate `tools/*.py` file
+2. Use `@mcp.tool()` decorator
+3. Return `DynamicResponse` or structured data
+4. Add to tool registration in `__init__.py`
+5. Write unit tests
+
+Example:
+```python
+@mcp.tool()
+async def my_new_tool(param: str) -> str:
+    """Tool description for Claude."""
+    # Implementation
+    return result
+```
+
+### Adding a New Endpoint to Monitor
+
+1. Add endpoint definition to `MONITORED_ENDPOINTS` in `endpoint_monitor.py`
+2. Specify path, method, params, and description
+3. Schema detection happens automatically
+
+Example:
+```python
+EndpointDefinition(
+    path="/v3/profiles/new-data",
+    description="New profile data endpoint",
+)
+```
+
+### Updating Configuration
+
+Configuration is managed via environment variables in `config.py`:
+- Add new setting to `Settings` dataclass
+- Use `field(default_factory=lambda: os.getenv(...))` pattern
+- Document in README.md environment variables section
+
+## Testing Strategy
+
+### Unit Tests
+- Mock external API calls using `respx`
+- Test each component in isolation
+- Located in `tests/unit/`
+
+### Integration Tests
+- Use fixtures from `tests/conftest.py`
+- Mock authentication for CI/CD
+- Test full request/response flows
+- Located in `tests/integration/`
+
+### Fixtures
+- `mock_auth_session` - Provides authenticated session
+- `mock_http_client` - Mocked httpx client
+- `sample_*` - Sample API responses
+
+## Key Dependencies
+
+- **mcp[cli]** - Model Context Protocol framework
+- **httpx** - Async HTTP client for API calls
+- **uvicorn** - ASGI server
+- **starlette** - Web framework (used by FastMCP)
+- **python-dotenv** - Environment variable management
+
+## Troubleshooting
+
+### Common Issues
+
+1. **"server.py not found"**: The entry point is `main.py`, not `server.py`
+2. **Schema not persisting**: Check volume mount for `/app/data/schemas`
+3. **Monitoring not running**: Verify `MONITORING_ENABLED=true` and check logs
+4. **Auth failures**: Ensure valid NCFA cookie or use login tool
+
+### Debugging
+
+Enable debug logging:
+```bash
+LOG_LEVEL=DEBUG docker compose up
+```
+
+Check monitoring status via tool:
+```python
+# In Claude
+check_api_status()
+```
+
+## CI/CD Considerations
+
+### Building for Production
+
+```bash
+# Multi-architecture build
+docker buildx build \
+  --platform linux/amd64,linux/arm64 \
+  -t username/geoguessr-mcp:latest \
+  --push .
+
+# Single architecture
+docker build -t username/geoguessr-mcp:latest .
+docker push username/geoguessr-mcp:latest
+```
+
+### Environment Variables for Deployment
+
+Required:
+- `GEOGUESSR_NCFA_COOKIE` - For authenticated endpoints
+
+Optional:
+- `MONITORING_INTERVAL_HOURS` - Default: 24
+- `LOG_LEVEL` - Default: INFO
+- `MCP_PORT` - Default: 8000
+
+## Schema Registry Details
+
+### Schema Hash Computation
+
+Schemas are identified by a hash of:
+- Field names and types
+- Nested structure
+- Array element types
+- Null/undefined handling
+
+### Schema Change Detection
+
+When a schema changes:
+1. New hash is computed
+2. Comparison with previous hash
+3. If different, `schema_changed` flag is set
+4. New schema is persisted to disk
+5. Monitoring result includes change notification
+
+### Schema Persistence Format
+
+Schemas are stored as JSON in `SCHEMA_CACHE_DIR`:
+```json
+{
+  "endpoint": "/v3/profiles",
+  "schema_hash": "abc123...",
+  "fields": [...],
+  "last_updated": "2025-11-29T...",
+  "http_status": 200
+}
+```
+
+## API Monitoring System
+
+### Monitored Endpoints
+
+Currently monitoring ~15 endpoints:
+- Profile & Stats (v3, v4)
+- Games & Social (feed, friends, badges)
+- Competitive (seasons)
+- Explorer & Objectives
+- Challenges (daily)
+
+### Monitoring Loop
+
+1. Every 24 hours (configurable)
+2. Checks each endpoint sequentially
+3. 0.5s delay between requests (rate limiting)
+4. Updates schema registry on changes
+5. Logs availability and response times
+6. Generates monitoring report
+
+### Monitoring Tools
+
+Users can:
+- `check_api_status()` - Get current status of all endpoints
+- `get_endpoint_schema(path)` - Get schema for specific endpoint
+- `list_available_endpoints()` - List all known endpoints
+- `explore_endpoint(path)` - Manually check a new endpoint
+
+## Best Practices
+
+1. **Always use DynamicResponse** for tools that return API data
+2. **Mock authentication** in tests using fixtures
+3. **Keep schemas generic** - don't hardcode field expectations
+4. **Log schema changes** at INFO level for visibility
+5. **Use async/await** consistently throughout the codebase
+6. **Handle rate limiting** with delays between requests
+7. **Validate configuration** in Settings.__post_init__
+8. **Document tools** with clear docstrings for Claude
+
+## Future Enhancements
+
+Potential areas for improvement:
+- [ ] Add metrics collection (Prometheus/Grafana)
+- [ ] Implement rate limiting middleware
+- [ ] Add caching layer for frequently accessed data
+- [ ] Support for webhooks/real-time updates
+- [ ] Advanced analytics and ML-based recommendations
+- [ ] Multi-user support with session management
+- [ ] GraphQL endpoint for flexible queries
+
+## Resources
+
+- [MCP Documentation](https://modelcontextprotocol.io/)
+- [FastMCP Guide](https://github.com/jlowin/fastmcp)
+- [GeoGuessr API (unofficial)](https://www.geoguessr.com/api)
+- [Docker Best Practices](https://docs.docker.com/develop/dev-best-practices/)
+
+---
+
+**Last Updated**: 2025-11-29
+**Maintainer**: See pyproject.toml for author information

Dockerfile

@@ -7,6 +7,7 @@ WORKDIR /app
 # Set environment variables
 ENV PYTHONDONTWRITEBYTECODE=1
 ENV PYTHONUNBUFFERED=1
+ENV PYTHONPATH=/app
 
 # Install system dependencies
 RUN apt-get update && apt-get install -y --no-install-recommends \
@@ -16,14 +17,17 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
 # Install uv for faster package installation
 RUN pip install --no-cache-dir uv
 
-# Copy requirements first for better caching
+# Copy only dependency files for better layer caching
-COPY requirements.txt .
+COPY pyproject.toml .
 
-# Install Python dependencies
+# Install Python dependencies from pyproject.toml
-RUN uv pip install --system --no-cache -r requirements.txt
+RUN uv pip install --system --no-cache -e .
 
-# Copy application code
+# Copy application source code
-COPY server.py .
+COPY src/ ./src/
+
+# Create data directory for schema cache
+RUN mkdir -p /app/data/schemas
 
 # Expose the port
 EXPOSE 8000
@@ -32,5 +36,5 @@ EXPOSE 8000
 HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
     CMD curl -f http://localhost:8000/health || exit 1
 
-# Run the server
+# Run the server using the installed package entry point
-CMD ["python", "server.py"]
+CMD ["python", "-m", "geoguessr_mcp.main"]

README.md

@@ -166,7 +166,45 @@ Claude uses explore_endpoint tool:
 
 ## 🏭 Production Deployment
 
-### With SSL (Recommended)
+### Method 1: Build and Push Docker Image
+
+For VPS deployment, it's recommended to build and push your image to Docker Hub:
+
+```bash
+# 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
+
+```bash
+# 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
 
 1. Create SSL certificates:
 ```bash
@@ -176,11 +214,57 @@ mkdir -p nginx/ssl
 # nginx/ssl/privkey.pem
 ```
 
-2. Deploy with production compose:
+2. Update docker-compose.prod.yml to use your Docker image:
+```bash
+# 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
+```
+
+3. Deploy with production compose:
 ```bash
 docker compose -f docker-compose.prod.yml up -d
 ```
 
+### Method 3: Direct Docker Run
+
+If you prefer not to use Docker Compose:
+
+```bash
+# 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):
+
+```bash
+# 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 |
@@ -189,8 +273,11 @@ docker compose -f docker-compose.prod.yml up -d
 | `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 |
+| `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
 

docker-compose.prod.yml

@@ -4,9 +4,15 @@ version: '3.8'
 
 services:
   geoguessr-mcp:
+    # Option 1: Build locally
     build:
       context: .
       dockerfile: Dockerfile
+
+    # Option 2: Use pre-built image from Docker Hub (recommended for VPS)
+    # Uncomment the line below and comment out the build section above
+    # image: ${DOCKER_USERNAME:-yourusername}/geoguessr-mcp:${IMAGE_TAG:-latest}
+
     container_name: geoguessr-mcp-server
     restart: unless-stopped
     expose:

docker-compose.yml

@@ -2,9 +2,14 @@ version: '3.8'
 
 services:
   geoguessr-mcp:
+    # Option 1: Build locally
     build:
       context: .
       dockerfile: Dockerfile
+
+    # Option 2: Use pre-built image from Docker Hub (uncomment to use)
+    # image: ${DOCKER_USERNAME:-yourusername}/geoguessr-mcp:${IMAGE_TAG:-latest}
+
     container_name: geoguessr-mcp-server
     restart: unless-stopped
     ports: