mcp-optimizer

version: '3.8' services: mcp-optimizer: build: context: . dockerfile: Dockerfile container_name: mcp-optimizer restart: unless-stopped environment: - LOG_LEVEL=DEBUG - MAX_SOLVE_TIME=300 - MAX_MEMORY_MB=2048 - MAX_CONCURRENT_REQUESTS=5 - DEBUG=true # MCP SSE server configuration for remote access - TRANSPORT_MODE=sse - SERVER_HOST=0.0.0.0 - SERVER_PORT=8000 volumes: # Mount source code for development (comment out for production) - ./src:/app/src:ro - ./main.py:/app/main.py:ro ports: - "8000:8000" healthcheck: test: ["CMD", "python", "-c", "from mcp_optimizer.mcp_server import create_mcp_server; create_mcp_server()"] interval: 30s timeout: 10s retries: 3 start_period: 10s networks: - mcp-network # Optional: Add monitoring with Prometheus prometheus: image: prom/prometheus:latest container_name: mcp-prometheus restart: unless-stopped ports: - "9090:9090" volumes: - ./monitoring/prometheus.yml:/etc/prometheus/prometheus.yml:ro - prometheus_data:/prometheus command: - '--config.file=/etc/prometheus/prometheus.yml' - '--storage.tsdb.path=/prometheus' - '--web.console.libraries=/etc/prometheus/console_libraries' - '--web.console.templates=/etc/prometheus/consoles' - '--storage.tsdb.retention.time=200h' - '--web.enable-lifecycle' networks: - mcp-network profiles: - monitoring # Optional: Add Grafana for visualization grafana: image: grafana/grafana:latest container_name: mcp-grafana restart: unless-stopped ports: - "3000:3000" environment: - GF_SECURITY_ADMIN_PASSWORD=admin volumes: - grafana_data:/var/lib/grafana - ./monitoring/grafana/dashboards:/etc/grafana/provisioning/dashboards:ro - ./monitoring/grafana/datasources:/etc/grafana/provisioning/datasources:ro networks: - mcp-network profiles: - monitoring networks: mcp-network: driver: bridge volumes: prometheus_data: grafana_data: