Nanonets MCP Server

name: nanonets-mcp services: nanonets-mcp: build: . image: nanonets-mcp:latest container_name: nanonets-mcp-server restart: unless-stopped ports: - "8005:8000" environment: - HF_HOME=/app/.cache/huggingface - NVIDIA_VISIBLE_DEVICES=all volumes: # Persist model cache to avoid re-downloading - huggingface_cache:/app/.cache/huggingface # Optional: Mount local images directory - ./images:/app/images:ro healthcheck: test: ["CMD", "python", "-c", "from nanonets_mcp.server import mcp; print('OK')"] interval: 30s timeout: 10s retries: 3 start_period: 120s # Modern GPU support for Docker Engine v28+ deploy: resources: limits: memory: 16G reservations: memory: 8G devices: - driver: nvidia device_ids: ['0', '1'] # Specify GPU IDs capabilities: [gpu] volumes: huggingface_cache: driver: local networks: default: name: nanonets-mcp-network