Kagi MCP Server

# Generated by https://smithery.ai. See: https://smithery.ai/docs/config#dockerfile # Use a Python base image with uv pre-installed FROM ghcr.io/astral-sh/uv:python3.11-slim AS uv # Set the working directory in the container WORKDIR /app # Enable bytecode compilation for better performance ENV UV_COMPILE_BYTECODE=1 # Use copy mode for mounting cache to avoid linking issues ENV UV_LINK_MODE=copy # Install project dependencies using uv RUN --mount=type=cache,target=/root/.cache/uv --mount=type=bind,source=pyproject.toml,target=pyproject.toml --mount=type=bind,source=uv.lock,target=uv.lock uv sync --frozen --no-install-project --no-dev --no-editable # Copy the rest of the application code ADD . /app # Install the application RUN --mount=type=cache,target=/root/.cache/uv uv sync --frozen --no-dev --no-editable # Create a minimal Python environment FROM python:3.11-slim-bookworm # Set the working directory in the container WORKDIR /app # Copy the installed dependencies and the virtual environment COPY --from=uv /root/.local /root/.local COPY --from=uv --chown=app:app /app/.venv /app/.venv # Set the PATH to include the virtual environment ENV PATH="/app/.venv/bin:$PATH" # Set the default entrypoint ENTRYPOINT ["python", "-m", "arxiv_mcp_server"]