services:
crawl4ai-mcp-cpu:
build:
context: .
dockerfile: Dockerfile.cpu
container_name: crawl4ai-mcp-cpu
restart: unless-stopped
environment:
# MCP Server Configuration
- FASTMCP_LOG_LEVEL=INFO
- PYTHONPATH=/app
- PYTHONUNBUFFERED=1
# Disable heavy ML features for CPU-only deployment
- CRAWL4AI_DISABLE_SENTENCE_TRANSFORMERS=true
- CRAWL4AI_DISABLE_TORCH=true
# HTTP transport for persistent operation
- MCP_TRANSPORT=http
- MCP_HOST=0.0.0.0
- MCP_PORT=8000
# Optional: LLM API Keys (uncomment and set if needed)
# - OPENAI_API_KEY=${OPENAI_API_KEY}
# - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
# File processing limits
- MAX_FILE_SIZE_MB=100
# Performance tuning (reduced for CPU-only)
- MAX_CONCURRENT_REQUESTS=3
- CACHE_TTL=900 # 15 minutes
# No ports exposed to localhost - only accessible via shared_net
expose:
- "8000" # HTTP transport port (if enabled)
volumes:
# Persistent cache
- crawl4ai_cpu_cache:/app/cache
# Logs
- crawl4ai_cpu_logs:/app/logs
# Optional: Mount configuration directory
- ./config:/app/config:ro
networks:
- shared_net
# Security context
user: "1000:1000"
# Resource limits (reduced for CPU-only workload)
deploy:
resources:
limits:
memory: 1G # Reduced from 2G
cpus: '0.5' # Reduced from 1.0
reservations:
memory: 256M # Reduced from 512M
cpus: '0.25' # Reduced from 0.5
# Health check
healthcheck:
test: ["CMD", "python", "-c", "from crawl4ai_mcp.server import mcp; print('Health check passed')"]
interval: 30s
timeout: 10s
retries: 3
start_period: 30s # Reduced from 60s
networks:
shared_net:
external: true
volumes:
crawl4ai_cpu_cache:
driver: local
crawl4ai_cpu_logs:
driver: local
