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84 lines
2.9 KiB
Docker
84 lines
2.9 KiB
Docker
# syntax=docker/dockerfile:1
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# Standalone Graphiti MCP Server Image
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# This image runs only the MCP server and connects to an external database (Neo4j or FalkorDB)
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FROM python:3.11-slim-bookworm
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# Install system dependencies
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RUN apt-get update && apt-get install -y --no-install-recommends \
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curl \
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ca-certificates \
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&& rm -rf /var/lib/apt/lists/*
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# Install uv for Python package management
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ADD https://astral.sh/uv/install.sh /uv-installer.sh
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RUN sh /uv-installer.sh && rm /uv-installer.sh
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# Add uv to PATH
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ENV PATH="/root/.local/bin:${PATH}"
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# Configure uv for optimal Docker usage
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ENV UV_COMPILE_BYTECODE=1 \
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UV_LINK_MODE=copy \
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UV_PYTHON_DOWNLOADS=never \
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MCP_SERVER_HOST="0.0.0.0" \
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PYTHONUNBUFFERED=1
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# Set up MCP server directory
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WORKDIR /app/mcp
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# Accept graphiti-core version as build argument
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ARG GRAPHITI_CORE_VERSION=0.29.1
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# Copy project files for dependency installation
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COPY pyproject.toml uv.lock ./
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# Remove the local path override for graphiti-core in Docker builds
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# Install with BOTH neo4j and falkordb extras for maximum flexibility
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# and regenerate lock file to match the PyPI version
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RUN sed -i '/\[tool\.uv\.sources\]/,/graphiti-core/d' pyproject.toml && \
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sed -i "s/graphiti-core\[falkordb\][>=]\+[0-9]\+\.[0-9]\+\.[0-9]\+/graphiti-core[neo4j,falkordb]==${GRAPHITI_CORE_VERSION}/" pyproject.toml && \
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echo "Regenerating lock file for PyPI graphiti-core..." && \
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rm -f uv.lock && \
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uv lock
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# Install Python dependencies (exclude dev dependency group)
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# Include optional provider extras so the image matches the providers
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# advertised by the MCP server configuration and docs.
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv sync --no-group dev --extra providers --extra azure
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# Store graphiti-core version
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RUN echo "${GRAPHITI_CORE_VERSION}" > /app/mcp/.graphiti-core-version
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# Copy MCP server application code
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COPY main.py ./
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COPY src/ ./src/
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COPY config/ ./config/
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# Create log directory
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RUN mkdir -p /var/log/graphiti
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# Add Docker labels with version information
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ARG MCP_SERVER_VERSION=1.0.2
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ARG BUILD_DATE
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ARG VCS_REF
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LABEL org.opencontainers.image.title="Graphiti MCP Server (Standalone)" \
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org.opencontainers.image.description="Standalone Graphiti MCP server for external Neo4j or FalkorDB" \
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org.opencontainers.image.version="${MCP_SERVER_VERSION}" \
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org.opencontainers.image.created="${BUILD_DATE}" \
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org.opencontainers.image.revision="${VCS_REF}" \
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org.opencontainers.image.vendor="Zep AI" \
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org.opencontainers.image.source="https://github.com/zep-ai/graphiti" \
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graphiti.core.version="${GRAPHITI_CORE_VERSION}"
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# Expose MCP server port
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EXPOSE 8000
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# Health check - verify MCP server is responding
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HEALTHCHECK --interval=10s --timeout=5s --start-period=15s --retries=3 \
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CMD curl -f http://localhost:8000/health || exit 1
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# Run the MCP server
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CMD ["uv", "run", "--no-sync", "main.py"]
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