Nicelydone MCP

The platform supplies AI agents with access to a large library of real‑world design assets, including over 224 000 screens, 11 300 user flows, and thousands of UI components extracted from shipped SaaS products. Agents can query this repository to retrieve visual references, study multi‑step flows, and browse individual components such as modals, tables, and navigation bars, using structured metadata that describes page type, layout patterns, and UI elements.

Developers can integrate the service with tools like Claude, Cursor, VS Code, and others by adding a simple configuration block or a one‑line command. The system supports saving favorite items, organizing them into collections, and reusing personal reference libraries directly from the development environment, enabling rapid design research without leaving the editor.

Because each screen is accompanied by detailed metadata, the AI can evaluate design intent before rendering images, allowing it to scan hundreds of examples in seconds and provide context that would otherwise require extensive manual research. This automated approach is intended for experimental use in design‑centric AI workflows.