DevOps AI Toolkit

# Note: We use tag-only references (not SHA256 digests) to support multi-architecture builds. # Docker Buildx automatically selects the correct architecture-specific image for each platform. # Using SHA256 digests would pin to a single architecture and cause "exec format error" on other platforms. # Stage 1: Builder - install npm package FROM node:22-slim AS builder # Copy and install pre-built dot-ai package # Package is built outside Docker (npm run build + npm pack) # For local builds: vfarcic-dot-ai-*.tgz is created by build script # For CI builds: same .tgz is used for both image and npm publish COPY vfarcic-dot-ai-*.tgz /tmp/ RUN npm install -g /tmp/vfarcic-dot-ai-*.tgz # Stage 2: Runtime - copy installed binaries and packages FROM node:22-slim # Install ca-certificates for TLS verification (required for helm repo operations) RUN apt-get update && \ apt-get install -y ca-certificates && \ apt-get clean && \ rm -rf /var/lib/apt/lists/* # Copy kubectl and helm binaries from official images (Renovate auto-updates these) COPY --from=rancher/kubectl:v1.34.2 /bin/kubectl /usr/local/bin/kubectl COPY --from=alpine/helm:4.0.1 /usr/bin/helm /usr/local/bin/helm # Copy entire npm global installation from builder COPY --from=builder /usr/local/lib/node_modules/@vfarcic/dot-ai /usr/local/lib/node_modules/@vfarcic/dot-ai # Recreate the bin symlink (Docker COPY dereferences symlinks) RUN ln -s /usr/local/lib/node_modules/@vfarcic/dot-ai/dist/mcp/server.js /usr/local/bin/dot-ai-mcp # Set working directory WORKDIR /app # Create sessions directory RUN mkdir -p /app/sessions # Set default environment variables ENV DOT_AI_SESSION_DIR=/app/sessions ENV NODE_ENV=production # Transport defaults to stdio for backward compatibility # Set TRANSPORT_TYPE=http for HTTP mode ENV TRANSPORT_TYPE=stdio ENV PORT=3456 ENV HOST=0.0.0.0 # Expose port for HTTP transport (used when TRANSPORT_TYPE=http) EXPOSE 3456 # Default command to run dot-ai-mcp CMD ["dot-ai-mcp"]