docker-compose.yml

version: '3.8'

services:
  python-mcp-server:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: ${MCP_SESSION_SERVER_CONTAINER_NAME}
    ports:
      - "${MCP_SESSION_SERVER_INTERNAL_PORT:-8000}:${MCP_SESSION_SERVER_INTERNAL_PORT}"
    volumes:
      # Mount a volume for potential database persistence
      - python-mcp-db:/data/db
      # You might need other volumes depending on your app's needs
      # - ./some_local_dir:/app/some_app_dir
    environment:
      # Configure server host and port inside the container
      - SERVER_HOST=0.0.0.0
      - SERVER_PORT=${MCP_SESSION_SERVER_INTERNAL_PORT}
      # Set transport mode
      - MCP_TRANSPORT=${MCP_TRANSPORT:-http}
      # Configure database path to use the volume
      - DATABASE_URL=sqlite+aiosqlite:///data/db/mcp_server.db
      # Indicate the environment
      - ENVIRONMENT=docker
      # Add any other environment variables your application needs
      # - LOG_LEVEL=info
    restart: unless-stopped
    healthcheck:
      # Use the correct health check endpoint from src/main.py
      test: ["CMD", "curl", "-f", "http://localhost:${MCP_SESSION_SERVER_INTERNAL_PORT}/_fastapi_health"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 10s

volumes:
  python-mcp-db:
    driver: local
  # Define other volumes if needed

networks:
  default:
    external: true
    name: crawl4ai-network