Agents & MCPs: Building Beautiful UIs with AI
UI Lab is designed from the ground up to be AI-augmented by design. Rather than treating AI as an afterthought, we've built the entire component system with AI as a first-class citizen.
This means AI systems—whether Claude, custom agents, or other LLMs—can generate production-ready component code that is automatically:
- Beautiful by default – Needs no configuration
- Consistent with your design system – Uses semantic tokens and theming
- Fully accessible – Includes ARIA attributes and keyboard support
- Type-safe – Fully typed TypeScript code
- Composable – Follows established patterns
Why This Matters
Traditional component libraries require AI to make dozens of decisions:
- Which component should I use?
- What are the valid variants?
- How do components compose together?
- What accessibility attributes are needed?
- Which design tokens should I reference?
UI Lab answers all these questions upfront through:
- Rich Metadata Registry – Every component is fully described
- Design Guidelines – Explicit decision-making patterns
- LLMs.txt Format – Machine-readable component documentation
- MCP Server – Real-time integration with Claude
What You'll Learn
For Claude Users
If you use Claude to generate UI code:
- Reference Components – Know what's available in UI Lab
- Use the Registry – Discover components and their capabilities
- Enable the MCP Server – Real-time integration for up-to-date info
- Leverage Design Guidelines – Let Claude make smart decisions
→ Start with: Getting Started with Claude
For AI Developers & Agent Builders
If you're building custom AI systems:
- Understand Component Registry – How metadata is structured
- Learn Composition Patterns – How components work together
- Implement Design Decisions – How guidelines enforce consistency
- Build Your MCP Server – Integrate with Claude and other systems
→ Start with: Understanding the Component Registry
Core Concepts: Three Pillars
1. Component Registry
A structured, machine-readable catalog of all UI Lab components:
→ Details: Component Registry Reference
2. Design Guidelines
Explicit patterns that guide component selection and composition:
→ Details: Design Guidelines Reference
3. LLMs.txt Format
Human and machine-readable component documentation:
→ Details: LLMs.txt Format Reference
Key Features for AI
Type Safety
Every component is fully typed. Generated code is always valid TypeScript:
Semantic Theming
AI references design tokens instead of hardcoding values:
Composability Patterns
Clear patterns for how components work together:
Accessibility Built-In
Accessibility is not optional—it's built into every component:
Documentation Structure
This section follows the Diataxis framework, organizing content by user needs:
| Section | Purpose | For | Example | |---------|---------|-----|---------| | Getting Started | Learn by doing | Anyone new to UI Lab + AI | Step-by-step tutorials | | Understanding | Learn concepts | Those who want to understand | Explanations of architecture | | How-To Guides | Solve problems | Those building integrations | Goal-focused solutions | | Reference | Look up facts | Those needing API details | Complete specifications |
Quick Navigation
Just Starting Out?
Want to Build Your Own?
Need Technical Details?
Looking for Examples?
Philosophy: Beautiful by Default
The core principle that guides everything:
Every component is beautiful without configuration.
This means AI-generated UIs are:
- Visually stunning out of the box
- Consistent across the entire system
- Work in both light and dark modes
- Scale responsively from mobile to desktop
- Follow accessibility standards automatically
When AI generates component code with UI Lab, the result is production-ready—no tweaking needed.
Next Steps
- If you use Claude: Go to Getting Started with Claude
- If you're building AI integrations: Go to Understanding the Component Registry
- If you need API details: Go to Component Registry Reference
UI Lab: Beautiful by default. Consistent across AI and human code. Ready for production.