Design intelligence for AI-generated UI — principles, patterns, content, brand, design tokens.
Raven gives Claude (and any MCP client) a queryable design knowledge base it can reach into while generating UI. Eight layers cover the complete surface of design work: principles (Nielsen's heuristics, the 21 Laws of UX, Gestalt, WCAG, typography, color, mobile UX, D4D, UX writing, service design, brand), patterns (signup, pricing, nav, forms, landing, dashboards, modals, empty/error/loading states, CTAs, social proof, mobile conversion, plus content and service patterns), content design systems (Mailchimp, GOV.UK, Shopify Polaris, Atlassian, Intuit voice & tone), research methods (qualitative, quantitative, usability) and metrics frameworks (HEART, AARRR, North Star, conversion funnel, RICE, OKRs), service design (blueprinting with HTML output, human handoff, signup-as-service, omnichannel continuity, moments of truth, GOV.UK Service Standard), brand & visual design (logo usage, gradient usage, imagery, hierarchy, brand-as-system, 2026 trends), business strategy, and production design tokens (Stripe, Linear, and more). Claude calls Raven's tools automatically when you ask it to build, evaluate, or improve UI.
Valid MCP server (2 strong, 2 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
3 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Add this to your MCP configuration file:
{
"mcpServers": {
"ai-ravenmcp-raven-mcp": {
"args": [
"-y",
"raven-mcp"
],
"command": "npx"
}
}
}Once installed, try these example prompts and explore these capabilities:
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