React Component Library with Design Tokens: A Practical Architecture
A React component library with design tokens should do more than centralize colors and spacing. It should give your team a repeatable architecture for component APIs, usage guidance, and theming decisions that can survive rapid iteration and AI-assisted development.
Fragments combines these concerns into one workflow.
## What the Architecture Needs to Support
A practical architecture should support:
- component-level docs with examples and props - token-driven styling and theming - a build step that compiles metadata for tooling - a path for AI to query the real component system
Fragments covers those layers with the [components docs](/components), [CLI](/governance/cli), and [MCP Tools](/governance/mcp).
## How Fragments Connects Components and Tokens
Fragments uses seed-based theming to derive design tokens and applies them across the component library. That means visual updates propagate consistently instead of relying on one-off overrides.
Use [Getting Started](/components/install) to wire the library into your React app, then tune the token system through its seed values.
## FAQ
### Are design tokens enough to keep UI consistent?
No. Tokens solve visual consistency, but you also need component usage guidance and documented patterns.
### Why include AI tooling in the architecture?
Because AI is now part of many teams' implementation workflow. If it cannot query your real system, it will guess.
## CTA
Start with the [components docs](/components), then connect the [MCP Tools](/governance/mcp) once your team wants AI to build against the same system.
Next steps
- Design System CLI Workflows for Component LibrariesHow to structure design system CLI workflows for component libraries so metadata builds, docs, AI tools, and CI checks stay in sync.
- Accessible React Component Library: What to Look For (and How Fragments Works)How to evaluate an accessible React component library and how Fragments combines accessibility guidance, component docs, and AI-ready metadata.
- Connect a repositoryPin the contract and gate pull requests in Fragments Cloud.