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Add Dockerfiles for the 17 sample MCP servers
* add Dockerfiles and update README.md definitions
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src/fetch/Dockerfile
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src/fetch/Dockerfile
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# Use a Python image with uv pre-installed
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FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim
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# Install the project into `/app`
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WORKDIR /app
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# Enable bytecode compilation
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ENV UV_COMPILE_BYTECODE=1
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# Copy from the cache instead of linking since it's a mounted volume
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ENV UV_LINK_MODE=copy
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# Install the project's dependencies using the lockfile and settings
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RUN --mount=type=cache,target=/root/.cache/uv \
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--mount=type=bind,source=uv.lock,target=uv.lock \
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--mount=type=bind,source=pyproject.toml,target=pyproject.toml \
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uv sync --frozen --no-install-project --no-dev
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# Then, add the rest of the project source code and install it
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# Installing separately from its dependencies allows optimal layer caching
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ADD . /app
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv sync --frozen --no-dev
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# Place executables in the environment at the front of the path
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ENV PATH="/app/.venv/bin:$PATH"
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# when running the container, add --db-path and a bind mount to the host's db file
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ENTRYPOINT ["uvx" , "mcp-server-fetch"]
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