YouTube Translate MCP

# Generated by https://smithery.ai. See: https://smithery.ai/docs/config#dockerfile # Use a Python image with uv pre-installed FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS uv # Install the project into `/app` WORKDIR /app # Enable bytecode compilation ENV UV_COMPILE_BYTECODE=1 # Copy from the cache instead of linking since it's a mounted volume ENV UV_LINK_MODE=copy # Copy the project files COPY pyproject.toml uv.lock ./ # Install the project's dependencies using the lockfile and settings RUN --mount=type=cache,target=/root/.cache/uv \ uv sync --frozen --no-install-project --no-dev --no-editable # Then, add the rest of the project source code and install it ADD . /app RUN --mount=type=cache,target=/root/.cache/uv \ uv sync --frozen --no-dev --no-editable FROM python:3.12-slim-bookworm WORKDIR /app # Create app user RUN useradd -m app # Create directories and set up app COPY --from=uv /app /app RUN python -m venv /app/venv && \ chown -R app:app /app # Set environment variables ENV PATH="/app/venv/bin:$PATH" ENV PYTHONUNBUFFERED=1 # Install the package RUN pip install -e . # Expose port for SSE transport EXPOSE 8000 USER app # Run the server with SSE transport in production ENTRYPOINT ["youtube-translate-mcp"]