ScrapeGraph MCP Server

# Use Python slim image FROM python:3.11-slim # Set working directory WORKDIR /app # Set Python unbuffered mode for real-time logs ENV PYTHONUNBUFFERED=1 # Copy pyproject.toml and README.md first for better caching COPY pyproject.toml README.md ./ # Copy the source code COPY src/ ./src/ # Install the package and its dependencies from pyproject.toml RUN pip install --no-cache-dir . # Create non-root user for security RUN useradd -m -u 1000 mcpuser && \ chown -R mcpuser:mcpuser /app # Switch to non-root user USER mcpuser # Environment variables for remote deployment # MCP_TRANSPORT: "http" for remote, "stdio" for local (default) # PORT: Server port (Render sets this automatically) ENV MCP_TRANSPORT=http ENV PORT=8000 # Expose the port EXPOSE 8000 # Health check for container orchestration HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \ CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:${PORT}/health')" || exit 1 # Run the server CMD ["python", "-m", "scrapegraph_mcp.server"]