Gemini CLI RAG MCP

# Use Python 3.13 slim image as a lean base FROM python:3.13-slim # Set the working directory in the container WORKDIR /app # Set environment variables for python ENV PYTHONUNBUFFERED=1 ENV PYTHONDONTWRITEBYTECODE=1 # Install system dependencies required for building some python packages RUN apt-get update && apt-get install -y --no-install-recommends \ gcc \ g++ \ && rm -rf /var/lib/apt/lists/* # Copy requirements file first to leverage Docker layer caching COPY requirements.txt . # Install CPU-only PyTorch. sentence-transformers requires it, and this is an optimization to keep the image size small. RUN pip install torch --index-url https://download.pytorch.org/whl/cpu # Install the rest of the Python dependencies RUN pip install --no-cache-dir -r requirements.txt # Copy the rest of your application code COPY . . # Set the default command to run the MCP server CMD ["python", "gemini_cli_mcp.py"]