Atomic UI Components - The 1st AI-Powered React UI library based on Atomic Design
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Tired of maintaining messy UI codebases?
AI-powered React component library with 115+ production-ready components. Use MCP to query components with Claude, Copilot, and other AI tools. TypeScript, Storybook, and Atomic Design.
Atomic Components is a comprehensive React library built strictly on Atomic Design methodology. It helps developers build scalable, consistent, and maintainable interfaces faster.
Perfect for teams who want to stop reinventing the wheel and start shipping features.
Replies
Hi Hunters! 👋
I’m Mykola, the creator of Atomic Components.
Working on many web solutions, I got tired of the current state of UI libraries.
We’ve all been there: libraries that are heavy, inconsistent, and painful to upgrade. You start building, and suddenly you're fighting the library just to change a border radius, or dreading the next "major version" because it breaks everything.
I built Atomic Components to solve this.
🚀 Why is this different?
Unparalleled Flexibility: We designed every component with granular configuration. It doesn't matter if you are building a complex enterprise dashboard or a creative landing page—the library adapts to your demands, not the other way around.
Security-First Maintenance: We understand that your application's security relies on your supply chain. We commit to rapid release cycles for upstream security patches (React & dependencies), ensuring your UI layer remains secure and compliant without delay.
Zero-Stress Upgrades: We are committed to strict backward compatibility. We respect your time; you shouldn't have to rewrite your app just to get a bug fix.
The "Junk Drawer" Solution: By baking Atomic Design principles directly into the architecture, your codebase stays organized as it scales.
🤖 Built for the AI Era
Most libraries confuse LLMs. We are AI-Native.
Atomic Components comes with a Model Context Protocol (MCP) server that feeds your AI assistant (Cursor, Copilot) the exact context it needs. No more hallucinated props—just perfect code.
✨ Try it live (No install required):
Play with the granular settings and hot-swap themes in our Playground:
👉 https://www.atomiccomponents.com/playground
or check the showcase (no install needed):
👉 https://storybook.atomiccomponents.com/?path=/story/pages-library-showcase--library-showcase
What's inside:
📦 115+ Components (Fully Typed & Accessible)
🌗 30+ Themes (Dark, Light, Arctic Ice, etc.)
🛡️ Enterprise-Grade Stability & Security
I'd love to hear your feedback! Which theme is your favorite?
P.S. We are offering a special discount for the first 50 subscribers from the PH community! 🚀
Mykola, integrating MCP for AI assistants is a clever approach. How does the library handle edge cases or custom styles when an AI requests a component that doesn’t exactly match the design system?
@mykola_a
@olajiggy321 Thanks for the kind words! That is a great question.
The MCP server acts as a set of "guardrails." Because we feed the AI the strict TypeScript definitions and available Design Tokens (css), it tends to "fail gracefully" by composing existing Atoms/Molecules rather than inventing arbitrary CSS.
For advanced teams, you can take this further:
Custom Standards: You can create your own MCP server (or fine-tune a model) trained on your specific codebase to enforce your own best practices and architectural approaches.
Model Selection: Using a proper coding model (like Claude 3.5 Sonnet or GPT-4o) is essential. A high-reasoning model is required to effectively leverage the library's context and strictly cover complex edge cases.
We practice what we preach: Our own marketing website (and several of our other internal startups which will be release soon) was built entirely using Atomic Components. We rely on it daily to ensure velocity, consistency, and reliability across our own production environments. We know it handles edge cases because we depend on it ourselves.
That said, we always emphasize that AI is a Co-pilot, not an Autopilot.
Even with the best models and real-world validation, the developer still needs to:
Code Review: Verify that the logic aligns with business rules.
Test: Run automated tests (or manual QA) to ensure the result meets quality standards.
We see the MCP integration as a way to speed up the "boilerplate" by at least 10x, leaving you more time for that critical review and testing phase.
@mykola_a
Thanks for the detailed answer—guardrails with MCP and using it in your own projects makes sense.
I have a small idea related to improving those guardrails for custom design systems that you could try on your own.
If you're open to a suggestion, what's the best way to share it?
Hi@olajiggy321 ,
We are always open to great ideas. The best option is to contact us using the support email support@atomiccomponents.com . Thanks
@mykola_a
Thanks! I've just sent the idea to the support email you provided. If it doesn't appear in your inbox shortly, please check your spam folder.
Congrats on the launch! Is this just for building small or big UI elements, or can I build full pages with it?
@tomboll
Thanks! In our latest v1.1.0 release, we actually bridged that gap.
While we started with foundational Atoms/Molecules, we just shipped full Page Templates (like a SaaS Landing Page and Admin Dashboard). We also added rich media support (VideoPlayers, YouTube embeds).
The goal is to let you scaffold a production-ready app in minutes, not days, by assembling these pre-built Atoms, Molecules and Organisms. The library has more components than any other React libraries with a lot of customization. So, any type of UI can be build with Atomic Component library. Let me know if you still have any questions or need any help.
This looks super clean! But I'm curious about the 'AI-Native' part. How is this different from just copying code snippets into ChatGPT or Cursor?
Hi @mick123 .
Great question! The difference is Context. When you just copy-paste, the AI guesses the imports and props, often 'hallucinating' configurations that don't exist. Atomic Components comes with a Model Context Protocol (MCP) Server. If you use Cursor or Claude, our library actively 'feeds' the AI the exact, real-time definitions of every component, prop, and theme token. It means the AI doesn't just guess how to build a button; it knows exactly how our buttons work. It changes the workflow from 'Generate & Fix' to just 'Generate'."