Switch to uv-less final stages

src/git/Dockerfile

@@ -1,5 +1,5 @@
 # Use a Python image with uv pre-installed
-FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim
+FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS uv
 
 # Install the project into `/app`
 WORKDIR /app
@@ -10,22 +10,29 @@ ENV UV_COMPILE_BYTECODE=1
 # Copy from the cache instead of linking since it's a mounted volume
 ENV UV_LINK_MODE=copy
 
-RUN apt-get update && apt-get install -y git && rm -rf /var/lib/apt/lists/*
-
 # 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
+    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
 ADD . /app
 RUN --mount=type=cache,target=/root/.cache/uv \
-    uv sync --frozen --no-dev
+    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 --chown=app:app /app/.venv /app/.venv
 
 # Place executables in the environment at the front of the path
 ENV PATH="/app/.venv/bin:$PATH"
 
 # when running the container, add --db-path and a bind mount to the host's db file
-ENTRYPOINT ["uv" , "run" , "--directory", ".", "mcp-server-git"]
+ENTRYPOINT ["mcp-server-git"]

src/sentry/Dockerfile

@@ -1,5 +1,5 @@
 # Use a Python image with uv pre-installed
-FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim
+FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS uv
 
 # Install the project into `/app`
 WORKDIR /app
@@ -14,16 +14,24 @@ ENV UV_LINK_MODE=copy
 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
+    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
 ADD . /app
 RUN --mount=type=cache,target=/root/.cache/uv \
-    uv sync --frozen --no-dev
+    uv sync --frozen --no-dev --no-editable
+
+FROM python:3.12-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"
 
 # when running the container, add --db-path and a bind mount to the host's db file
-ENTRYPOINT ["uv" , "run" , "--directory", ".", "mcp-server-sentry"]
+ENTRYPOINT ["mcp-server-sentry"]
+

src/sqlite/Dockerfile

@@ -1,5 +1,5 @@
 # Use a Python image with uv pre-installed
-FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim
+FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS uv
 
 # Install the project into `/app`
 WORKDIR /app
@@ -14,16 +14,24 @@ ENV UV_LINK_MODE=copy
 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
+    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
 ADD . /app
 RUN --mount=type=cache,target=/root/.cache/uv \
-    uv sync --frozen --no-dev
+    uv sync --frozen --no-dev --no-editable
+
+FROM python:3.12-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"
 
 # when running the container, add --db-path and a bind mount to the host's db file
-ENTRYPOINT ["uv" , "run" , "--directory", ".", "mcp-server-sqlite"]
+ENTRYPOINT ["mcp-server-sqlite"]
+

src/time/Dockerfile

@@ -1,5 +1,5 @@
 # Use a Python image with uv pre-installed
-FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim
+FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS uv
 
 # Install the project into `/app`
 WORKDIR /app
@@ -14,16 +14,23 @@ ENV UV_LINK_MODE=copy
 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
+    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
 ADD . /app
 RUN --mount=type=cache,target=/root/.cache/uv \
-    uv sync --frozen --no-dev
+    uv sync --frozen --no-dev --no-editable
+
+FROM python:3.12-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"
 
 # when running the container, add --db-path and a bind mount to the host's db file
-ENTRYPOINT ["uv" , "run" , "--directory", ".", "mcp-server-time"]
+ENTRYPOINT ["mcp-server-time"]