refactor: make optimized Dockerfile the default - remove full variant
- Rename Dockerfile.optimized to Dockerfile (now the default) - Keep old Dockerfile as Dockerfile.old for reference - Update GitHub Actions to use default Dockerfile - Remove build-full job - only one image variant now - Remove docker-compose.optimized.yml and other variants - Update all documentation to reflect single image approach The optimized 283MB image is now the only n8n-MCP Docker image. This simplifies the user experience and provides the best solution for all use cases. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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@@ -80,19 +80,13 @@ The optimized build cannot:
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- To update nodes, rebuild the Docker image
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- Custom nodes must be present during build
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## When to Use Each Version
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## Benefits of Optimization
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### Use Original When:
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- You need to dynamically scan for nodes
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- You're developing custom nodes
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- You need to rebuild database at runtime
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- Image size is not a concern
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### Use Optimized When:
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- Production deployments
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- Resource-constrained environments
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- Fast startup is important
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- You want minimal attack surface
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The optimized Docker image is now the default and only version, providing:
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- **Production-ready**: Pre-built database with all nodes
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- **Resource-efficient**: Only ~283MB vs 2.6GB
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- **Fast startup**: No database building required
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- **Minimal attack surface**: No unnecessary dependencies
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## Testing the Optimized Build
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@@ -185,10 +179,10 @@ Some tools are disabled in optimized build:
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## Summary
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The optimized Docker build is ideal for production deployments where:
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- Image size matters
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- Fast startup is required
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- Resource usage should be minimal
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- Node set is stable
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The optimized Docker build is now the standard n8n-MCP Docker image, providing:
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- Dramatically reduced image size (283MB vs 2.6GB)
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- Fast startup with pre-built database
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- Minimal resource usage
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- All 525+ nodes included and ready to use
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For development or dynamic environments, continue using the original build.
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This optimization makes n8n-MCP suitable for any deployment scenario while maintaining full functionality.
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