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Nicelydone MCP - Design context for AI agents

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AI-generated pages all look the same. Nicelydone MCP gives your agent access to 140,000+ real screens, user flows, and UI components from shipped products. Works with Claude, Cursor, VS Code, and more.

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Farrukh Butt

AI-generated UIs always have that same generic look because the models are pattern-matching on average, not on what actually ships. Giving agents access to real screens from real products is such an obvious fix in hindsight, trying this with Cursor today.

Takahito Yoneda

Hooking up Nicelydone's UI gallery to an MCP server is a huge workflow upgrade for those of us building inside Cursor. Can the agent filter the design context by specific CSS frameworks like Tailwind when generating the code? This is going to save me from having to manually upload inspiration screenshots every time I need to prompt a new layout.

Mykola Kondratiuk

hadn't thought of feeding design system context directly into agents. the maintenance question is real - design tokens and component specs evolve faster than most MCP implementations can keep up with.

Linoy Bar-Gal

The "design context for agents" gap is real I keep watching Claude and Cursor hallucinate component names and tokens because they just don't know what my design system actually looks like. What does the MCP expose today: tokens, components, Figma layers, usage examples? And does it update live as the design system changes, or is it a snapshot?