references
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- AlicenseNot gradedqualityCmaintenanceEnables coding agents to query a private, curated design reference library over MCP, retrieving approved screenshots alongside the owner's take-and-avoid notes, marked component regions, and brand kits with colors, typography and CSS. Supports ranked recommendations by design brief, filtered search, and component lookup so agents can ground their implementation choices in saved preferences.MIT

Landingfolio MCPofficial
AlicenseNot gradedqualityCmaintenanceEnables AI agents to search and retrieve real screenshots of landing page components, full pages, and OG images from a design gallery, then save and manage selected examples in a personal collection.MIT
Duchampofficial
AlicenseNot gradedqualityBmaintenanceGives coding agents a curated, reviewable library of landing pages, hero sections, image prompts, motion-video recipes, logo and pitch-deck recipes, fonts and motion backgrounds that they can search, inspect and fetch, then rebuild locally from code. Searches and reference inspection are uncounted, while template, UI and asset fetches share a daily free limit under OAuth sign-in with no API key.MIT- AlicenseAqualityBmaintenanceEnables AI assistants to turn a rough brief into a sharp concept, brand idea, launch plan, or honest critique using a Frame → Make → Edit → Deliver method with 32 creative-direction principles. Each recommendation can be traced back to its underlying claims, paraphrased evidence notes, and public sources.10MIT
- AlicenseNot gradedqualityBmaintenanceGives coding agents a full agency-style design workflow: capture references with screenshots and measured design tokens, build and compare distinct directions on boards, record decisions, themes and a taste profile, then check results against WCAG 2.2, privacy and mobile performance with launch checks. Enables export of finished designs to HTML, Astro, React, WordPress and Elementor, plus gallery search for licensed designs.AGPL 3.0
TDQS
Scored across 5 tools
Each tool occupies a distinct stage in the reference workflow: suggest discovers a pool, shortlist presents chosen candidates, get retrieves details by id, pick records the user's choice, and add saves a new reference. The descriptions make the boundaries clear, especially the pool-to-shortlist-to-pick sequence.
All tools use a consistent `references_` prefix followed by a concise verb: suggest, shortlist, get, pick, add. The pattern is predictable and readable throughout.
Five tools are well-scoped for a reference discovery and taste-capture workflow. Each tool has a clear role and none feels redundant or excessive.
The surface covers the core lifecycle: discovery, shortlisting, detail retrieval, selection feedback, and saving new references. It lacks explicit update/delete operations for the user's saved library, but those are minor gaps for the stated purpose.