Add a Dockerfile to run with Docker

.dockerignore

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+# .dockerignore file for the project
+
+# Python specific
+__pycache__/
+*.pyc
+*.pyo
+.pytest_cache/
+.coverage
+
+# Development artifacts
+.idea/
+.vscode/
+*.swp
+*.swo
+dist/
+build/
+out/
+
+# Test files
+test/
+tests/
+*_test.go
+
+# Version control
+.git/
+.gitignore
+
+# Environment and secrets
+.env*
+*.env
+*.pem
+*.key
+*.crt
+config.local.*
+*.local.yml
+
+# Project-specific patterns
+docs/
+*.md
+README*
+Dockerfile*
+docker-compose*
+tmp/
+temp/
+*.tmp
+.local/
+local/
+
+# Exclude specific files to include in the image
+!src/
+!pyproject.toml
+
+# End of .dockerignore

Dockerfile

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+# 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
+
+# Install the project's dependencies using the lockfile and settings
+RUN --mount=type=cache,target=/root/.cache/uv \
+    --mount=type=bind,source=uv.lock,target=uv.lock \
+    --mount=type=bind,source=pyproject.toml,target=pyproject.toml \
+    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 . /app
+RUN --mount=type=cache,target=/root/.cache/uv \
+    uv sync --frozen --no-dev --no-editable
+
+FROM python:3.12-slim-bookworm
+
+RUN apt-get update && apt-get install -y git && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+
+COPY --from=uv /root/.local /root/.local
+COPY --from=uv /app /app
+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"
+
+ENTRYPOINT ["python", "/app/src/mcp_server_box.py"]