MCP KQL Server

# Build Stage FROM python:3.11-slim as builder # Prevent Python from writing pyc files and buffering stdout ENV PYTHONDONTWRITEBYTECODE=1 ENV PYTHONUNBUFFERED=1 WORKDIR /app # Install build dependencies RUN apt-get update && apt-get install -y --no-install-recommends \ build-essential \ && rm -rf /var/lib/apt/lists/* # Copy requirements first to leverage Docker cache COPY requirements.txt . # Create wheels for dependencies RUN pip wheel --no-cache-dir --no-deps --wheel-dir /app/wheels -r requirements.txt # Runtime Stage FROM python:3.11-slim WORKDIR /app # Create a non-root user RUN groupadd -r mcpuser && useradd -r -g mcpuser mcpuser # Install runtime dependencies (curl for healthchecks if needed) RUN apt-get update && apt-get install -y --no-install-recommends \ curl \ && rm -rf /var/lib/apt/lists/* # Copy wheels from builder COPY --from=builder /app/wheels /wheels # Install dependencies RUN pip install --no-cache /wheels/* # Copy application code COPY . . # Change ownership to non-root user RUN chown -R mcpuser:mcpuser /app # Switch to non-root user USER mcpuser # Expose port (Container Apps defaults to 80 or 8080, fastmcp uses SSE usually on a configurable port) # We'll assume standard MCP port or configure via env var ENV PORT=8000 EXPOSE 8000 # Run the server # Assuming the entry point is via the 'mcp-kql-server' command installed by pip (if setup.py exists) # OR running the module directly. # Based on project structure, we run the module. CMD ["python", "-m", "mcp_kql_server.main"]