@dsk/mcp
An MCP server that gives AI assistants structured access to a design system's tokens, components, guidelines, and patterns, enabling them to read, lint, and author design system data.
README
dsk — design-system memory toolkit
A single self-contained toolkit that gives one product's design system a memory — tokens, components, usage rules, patterns, flows, and screens — readable by humans and by AI coding assistants. One folder = one design system. It builds the design system, shows it, and lets an agent use it over MCP.
Website: https://rabindranath1311.github.io/dsk-website/ · How it works: HOW-IT-WORKS.md

Why
Design systems usually live as tribal knowledge, scattered Figma files, and stale wikis. Agents (and new teammates) can't use any of that. dsk stores the system as structured, versionable data beside your code — with explicit "use when / don't use when" rules per component — so an AI assistant can pick the right component, obey the guidelines, and even author new entries.
The three faces (over one core)
@dsk/core— the kernel: the store (human-readable file repo or SQLite), the node model, DTCG design tokens, exporters. The source of truth.@dsk/cli— thedskcommand: the builder (init,token,component,pattern,guideline,import,export,feature,recommend,lint).@dsk/server+@dsk/web—dsk serve: the viewer — a React visualizer + JSON API + the MCP endpoint, in one process.@dsk/mcp— the agent surface: the MCP server Claude Code (or any MCP client) plugs into to read, lint, and author the design system.

Quickstart
Requires Node.js 20+.
git clone https://github.com/rabindranath1311/dsk
cd dsk
npm install
# create a design system in this folder and load the example seed
npm run dsk -- init --name "Acme"
npm run dsk -- import examples/seed.acme.json
# build the visualizer once, then serve it
npm run build:web
npm run serve # → http://localhost:4321
Then edit from the command line and watch the projections regenerate:
npm run dsk -- token set color.brand.primary "#1F6FEB"
npm run dsk -- component new IconButton --level atom --when "space-constrained toolbars"
npm run dsk -- export # → design-system/tokens.css + design.md + AGENTS.md + SKILL.md
Prefer a fully human-readable store? dsk init --files keeps everything as
markdown files instead of SQLite — diffable and reviewable in PRs.
Use it from Claude Code (MCP)
npm run dsk -- mcp-config # writes .mcp.json (HTTP → http://localhost:4321/mcp)
npm run serve # keep the server running
Open the folder in Claude Code and it connects automatically. The agent can then search components by intent, check usage rules, lint proposed UI against the guidelines, and author tokens/components/patterns — all against the same store the visualizer shows.
What's in the memory
| Kind | What it captures |
|---|---|
| Tokens | DTCG-format design tokens (color, space, radius, type…) with aliases |
| Components | Atomic-design level, intents, variants, use-when / don't-use-when, do/don't, a11y notes, tokens used |
| Patterns & guidelines | Recurring solutions and the cross-cutting rules that govern components |
| IA & flows | App maps and user flows as draggable node graphs |
| Screens | Purpose, states, and the components each screen uses |
| Docs & assets | PRDs, brand refs, research, icons/images — the grounding agents read |
Develop
npm install
npm test # vitest
npm run typecheck # tsc across all packages
The store is the source of truth; everything else is a projection. Editing a
token and re-exporting regenerates tokens.css + design.md. Builder (CLI),
viewer (dsk serve), and the agent surface (MCP) are three faces over the same
@dsk/core.
License
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