@storybook/mcp
Reduces context switching and documentation drift by making component knowledge queryable via Claude, enabling faster design system adoption and reducing onb…
MCP server that serves knowledge about your components based on your Storybook stories and documentation
- Ask Claude to summarize component APIs by referencing your Storybook stories and docs
- Generate accurate code examples for components by pulling from your Storybook documentation
- Find which components support specific props or features across your entire component library
Reduces context switching and documentation drift by making component knowledge queryable via Claude, enabling faster design system adoption and reducing onboarding time for new team members integrating components.
Frontend teams maintaining shared component libraries who need rapid component lookup and usage guidance without leaving their development environment.
https://www.npmjs.com/package/@storybook/mcp
By GitHub Actions
How to Get It
npx -y @storybook/mcp
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Summarize component APIs by referencing my Storybook stories and docs
Trust Signals Auto-scanned
Data & Access
Community Pulse New
- Storybook: AI MCP — Hacker News · 1 pts
1 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 264 GitHub stars; contributors unknown; last commit 1d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 264 GitHub stars; contributors unknown; last commit 1d ago; license MIT.