storybook-best-practices

To make Storybook components AI-ready, you need to structure stories, documentation, and manifests so agents can reliably reason about them. This involves writing focused CSF stories, adding JSDoc prop descriptions, and using MDX docs to feed clear machine-readable manifests.

Documenting Storybook components for MCP servers requires aligning your MDX documentation and JSDoc prop details with manifest generation. This ensures AI agents and MCP servers can accurately interpret, explain, and trace component behavior and usage.

Writing CSF stories that AI agents can understand involves creating focused stories that illustrate single concepts and including concise usage notes. This structured approach ensures agents can reliably interpret component behaviors without being confused by scattered or inconsistent metadata.

Yes, you can use Storybook AI manifests with existing React projects by auditing your current repository and applying recommended patterns for stories and docs. This allows teams migrating to AI manifests to produce traceable, agent-friendly artifacts.

AI agents struggle to interpret Storybook components due to scattered stories, inconsistent documentation, and vague metadata. Without structured machine-readable manifests and aligned MDX docs, agents lack the reliable context needed to reason about component usage effectively.

Yes, JSDoc prop descriptions and MDX documentation are needed to generate effective Storybook manifests. These elements provide the actionable metadata and component details required to feed the manifest and ensure accurate AI-assisted component interpretation.