# syntax=docker/dockerfile:1
# Standalone Graphiti MCP Server Image
# This image runs only the MCP server and connects to an external database (Neo4j or FalkorDB)
FROM python:3.11-slim-bookworm
# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
curl \
ca-certificates \
&& rm -rf /var/lib/apt/lists/*
# Install uv for Python package management
ADD https://astral.sh/uv/install.sh /uv-installer.sh
RUN sh /uv-installer.sh && rm /uv-installer.sh
# Add uv to PATH
ENV PATH="/root/.local/bin:${PATH}"
# Configure uv for optimal Docker usage
ENV UV_COMPILE_BYTECODE=1 \
UV_LINK_MODE=copy \
UV_PYTHON_DOWNLOADS=never \
MCP_SERVER_HOST="0.0.0.0" \
PYTHONUNBUFFERED=1
# Set up MCP server directory
WORKDIR /app/mcp
# Accept graphiti-core version as build argument
ARG GRAPHITI_CORE_VERSION=0.23.1
# Copy project files for dependency installation
COPY pyproject.toml uv.lock ./
# Remove the local path override for graphiti-core in Docker builds
# Install with BOTH neo4j and falkordb extras for maximum flexibility
# and regenerate lock file to match the PyPI version
RUN sed -i '/\[tool\.uv\.sources\]/,/graphiti-core/d' pyproject.toml && \
sed -i "s/graphiti-core\[falkordb\]>=[0-9]\+\.[0-9]\+\.[0-9]\+$/graphiti-core[neo4j,falkordb]==${GRAPHITI_CORE_VERSION}/" pyproject.toml && \
echo "Regenerating lock file for PyPI graphiti-core..." && \
rm -f uv.lock && \
uv lock
# Install Python dependencies (exclude dev dependency group)
RUN uv sync --no-group dev
# Store graphiti-core version
RUN echo "${GRAPHITI_CORE_VERSION}" > /app/mcp/.graphiti-core-version
# Copy MCP server application code
COPY main.py ./
COPY src/ ./src/
COPY config/ ./config/
# Create log directory
RUN mkdir -p /var/log/graphiti
# Add Docker labels with version information
ARG MCP_SERVER_VERSION=1.0.1
ARG BUILD_DATE
ARG VCS_REF
LABEL org.opencontainers.image.title="Graphiti MCP Server (Standalone)" \
org.opencontainers.image.description="Standalone Graphiti MCP server for external Neo4j or FalkorDB" \
org.opencontainers.image.version="${MCP_SERVER_VERSION}" \
org.opencontainers.image.created="${BUILD_DATE}" \
org.opencontainers.image.revision="${VCS_REF}" \
org.opencontainers.image.vendor="Zep AI" \
org.opencontainers.image.source="https://github.com/zep-ai/graphiti" \
graphiti.core.version="${GRAPHITI_CORE_VERSION}"
# Expose MCP server port (Railway overrides this with PORT env var)
EXPOSE 8000
# Default config path - can be overridden via CONFIG_PATH env var
ENV CONFIG_PATH="/app/mcp/config/config-aura.yaml"
# Note: Railway manages health checks externally, so we don't use Docker HEALTHCHECK
# The /health endpoint is available for Railway's health check system
# Run the MCP server with explicit config
CMD ["uv", "run", "--no-sync", "main.py", "--config", "/app/mcp/config/config-aura.yaml"]
