mcp-design-models
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- AlicenseNot gradedqualityAmaintenanceEnables AI agents to create and manage consistent multi-screen UI designs through a token-efficient MCP interface, with design system tokens, components, flows, and visual review.118 npm2AGPL 3.0

Sleek MCP serverofficial
AlicenseNot gradedqualityBmaintenanceEnables MCP clients to turn plain-language mobile app descriptions into rendered, editable screens and project links for exporting to Figma, HTML, or React.MIT- AlicenseNot gradedqualityAmaintenanceEnables coding agents to ground UI work in real product screens by returning inline screenshots of concrete layouts, states, and interactions, plus fonts and icons with their recorded licenses. It also serves a bundled design workflow that settles a screen's contract and verifies the rendered result, available with or without an API token.MIT
- AlicenseNot gradedqualityDmaintenanceTurns product ideas into implementation-ready planning packages including PRD, requirements, user flow, wireframes, data schema, API contracts, and SDK boundaries, with an MCP handoff for coding agents.MIT
- FlicenseAqualityDmaintenanceTransforms basic interface ideas into comprehensive, professional-grade UI/UX design specifications with detailed styling, animations, components, and accessibility requirements for websites, apps, and other digital interfaces.5-
- FlicenseNot gradedqualityAmaintenanceGives coding agents concrete, real product screens as inline references for unresolved layout, state, or interaction questions, plus licensed fonts and icons and the recorded design system behind a chosen web screen. Also bundles a token-free design workflow, diagnostics, and command playbooks that keep UI work grounded in the agent's own product.-
TDQS
Scored across 2 tools
render_screen is explicitly for a single UI screen mockup with full control, while generate_product is for turning an idea into a multi-screen product set. Although generate_product can take explicit screens, the descriptions clearly separate single-screen rendering from product-level generation, so an agent should not misselect.
Both tool names follow the same verb_noun snake_case pattern: render_screen and generate_product. The verbs differ semantically but the structural convention is consistent and predictable.
Two tools is at the thin end of the scale; the server covers only single-screen and product-level generation. It is not excessive, but the surface feels minimal for a design-model server.
The core workflows for rendering one screen and generating a full product are covered, including manifest output. Missing conveniences like listing past renders or editing manifest entries are minor gaps that agents can work around via the filesystem.