Crawl4AI RAG MCP Server

FROM python:3.11-slim # Set working directory WORKDIR /app # Install minimal system dependencies RUN apt-get update && apt-get install -y \ curl \ && rm -rf /var/lib/apt/lists/* # Copy minimal requirements for client mode COPY deployments/client/requirements-client.txt . # Install only client dependencies (no ML/vector libraries needed) RUN pip install --no-cache-dir --upgrade pip && \ pip install --no-cache-dir -r requirements-client.txt # Copy only the specific files needed for client mode # Client only needs rag_processor.py and lightweight API client RUN mkdir -p ./core ./api COPY core/rag_processor.py ./core/ COPY api/__init__.py.client ./api/__init__.py COPY api/client.py ./api/ # Create non-root user RUN useradd -m -u 1000 mcpuser && \ chown -R mcpuser:mcpuser /app # Switch to non-root user USER mcpuser # MCP server runs on stdin/stdout (no port binding needed) # Port 3000 is just for reference, not actually used by stdio MCP EXPOSE 3000 # Health check - verify Python and imports work HEALTHCHECK --interval=30s --timeout=10s --start-period=30s --retries=3 \ CMD python3 -c "import sys; from dotenv import load_dotenv; sys.exit(0)" # Start the MCP client in client mode (IS_SERVER=false in .env) # This will forward all MCP requests to REMOTE_API_URL CMD ["python3", "-m", "core.rag_processor"]