How do I set up Nicelydone MCP?

You can set it up by adding the MCP server configuration to your tool, such as pasting a JSON block in Claude Desktop or using one-click install in Cursor, as detailed in the setup instructions on the official page.

What platforms does Nicelydone MCP support?

It supports Claude, Cursor, VS Code, Lovable, ChatGPT, Codex, Windsurf, Zed, and other MCP-enabled tools for seamless integration.

What is the pricing for Nicelydone MCP?

Access to Nicelydone MCP is included with the Pro subscription, which also provides full access to the design library without any additional costs or separate API keys.

What kind of design data does Nicelydone MCP provide?

It provides over 140,000 real screens, 10,000+ user flows, and UI components from shipped SaaS products, complete with structured metadata like page types, UI elements, and layout patterns.

Nicelydone MCP

Design context for AI agents

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HiCyou directory record

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Listed website: nicelydone.club
Published in directory: Apr 13, 2026
Last record update: Apr 13, 2026

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Overview
4 key features
4 use cases

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What is Nicelydone MCP

Nicelydone MCP is an MCP server that provides AI coding agents with access to over 140,000 real screens, user flows, and UI components from shipped SaaS products to improve UI design output. It integrates with tools like Claude, Cursor, and VS Code, allowing agents to reference successful designs and generate more intentional, less generic interfaces.

Key Features

Access to a vast database of real screens, user flows, and UI components with structured metadata

12 MCP tools for searching by screen type, user flows, components, and apps

Seamless integration with multiple AI agent platforms including Claude, Cursor, VS Code, and more

No separate API key required; access is included with the Pro subscription

Use Cases

Developers using AI agents to code and design UIs, needing references for better and more intentional output
Designers leveraging AI tools for inspiration on specific UI patterns, dashboards, or user flows from real products
Startups building MVPs quickly with AI assistance to ensure professional and user-friendly design without extensive research
Product managers researching effective user flows, such as onboarding or checkout processes, to inform feature development

Why do startups need this tool?

Startups often operate with limited resources and need to rapidly prototype and iterate on product designs to stay competitive. Nicelydone MCP helps by enabling AI agents to generate high-quality, reference-based UIs quickly, reducing the time and cost associated with design research and ensuring that MVPs have professional, user-friendly interfaces from the start.