MPC Tally API Server

# 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:python3.13-bookworm-slim AS uv # Set the working directory in the container WORKDIR /app # Copy the project descriptor files for dependency installation COPY pyproject.toml uv.lock /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 # 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 # Installing separately from its dependencies allows optimal layer caching COPY src /app/src RUN --mount=type=cache,target=/root/.cache/uv \ uv sync --frozen --no-dev --no-editable # Create a minimal runtime image FROM python:3.13-slim-bookworm WORKDIR /app COPY --from=uv /root/.local /root/.local COPY --from=uv --chown=app:app /app/.venv /app/.venv # Place executables in the environment at the front of the path ENV PATH="/app/.venv/bin:$PATH" # Set the entry point for the container ENTRYPOINT ["mcp-reddit"]