vibecraft-mcp
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- AlicenseNot gradedqualityAmaintenanceEnables AI coding assistants to generate bespoke design systems by synthesizing OKLCH color palettes, chamfer highlights and spring physics, teaching layout composition grammar, and returning micro-interaction primitives and component blueprints. Also audits JSX/TSX/HTML through a senior design director's lens to score and critique UI quality.23 npm1MIT
- AlicenseAqualityBmaintenanceEnables AI coding agents to enforce UI/UX best practices and backend performance auditing, providing design guidelines, compliance checks, component search, and performance optimizations to eliminate generic or sloppy code.7MIT
- FlicenseNot gradedqualityBmaintenanceEnables AI coding agents to inspect a project's design tokens and component catalog, audit React/Tailwind files against seven static UI quality rules, score overall UI health, and apply auto-fixes that are re-audited and reverted on regression. It works both locally over filesystem access and remotely on raw TSX/JSX or CSS snippets passed directly as strings.-
- AlicenseNot gradedqualityBmaintenanceEnables AI coding agents to audit rendered web pages for design and UI defects by measuring geometry, styles, contrast and motion in a local browser and judging them against evidence-tiered rules. Findings come back as short, fixable items expressed in the project's own design tokens, while only sanitized numeric measurements leave the machine.Apache 2.0
- AlicenseNot gradedqualityAmaintenanceEnables AI coding agents to act like a senior UI/UX team by reading an existing site's design DNA and tokens, proposing distinct art directions and motion mechanics that fit the brief, and validating changes in a live headless Chromium browser. Provides per-element accessibility and performance auditing (WCAG 2.2 contrast, focus, clipping, phone-menu behavior, LCP/CLS) at multiple viewport widths, plus baseline capture, before/after comparison, and one-command rollback for safe redesigns.561 npm2MIT
- AlicenseAqualityCmaintenanceProvides conversational, actionable accessibility testing for AI agents, including auditing, prioritization, and code-level fixes.2267 npmMIT
TDQS
Scored across 7 tools
Tools are mostly distinct: audits target performance vs UX compliance, and get_component_code/search_ui_components form a clear pair. The only real ambiguity is between get_layout_blueprint and get_ux_guidelines, since both reference NN/g IA and design guidance.
All seven tools follow the same lowercase snake_case verb_noun convention: audit_, get_, search_. No mixed styles or vague generic verbs.
Seven tools is well-scoped for a design/UX assistant: guidance retrieval, component discovery/code retrieval, token retrieval, and two complementary audit paths. Each tool has a clear role.
The set covers the core workflow of a design-system copilot: retrieve guidelines/layouts/tokens, find and fetch components, and audit both UX compliance and system performance. No obvious dead ends or missing lifecycle steps for this domain.