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Random Design

Official registry Productivity

Generate randomized English Markdown frontend design directions from curated catalogs.

Source code Documentation

What can you do with Random Design?

  • productType: what you are designing, such as landing page, dashboard,
  • audience: who the interface is for, such as developers, founders, or
  • priority: what the design should optimize for or pay extra attention to,
  • compatibility: controls how wild the random combination can be. It defaults

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package random-design-mcp
Claude Code 
claude mcp add random-design -- npx -y random-design-mcp@2.1.0
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "random-design": {
            "command": "npx",
            "args": [
                "-y",
                "random-design-mcp@2.1.0"
            ]
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Random Design MCP
  2. Install
  3. Tools
  4. Development

Random Design MCP

TypeScript MCP server that returns randomized English Markdown frontend design directions. It uses curated catalogs and optional soft compatibility scoring. It does not call an LLM.

Website: https://random-design-mcp.h0b0.dev

Install

Use the published npm package from any MCP client that supports stdio servers:

{
  "mcpServers": {
    "random-design": {
      "command": "npx",
      "args": ["-y", "random-design-mcp"]
    }
  }
}

Tools

generate_design_description returns one randomized Markdown design direction. All input fields are optional, but passing context makes the result easier to use:

{
  productType?: string;
  audience?: string;
  priority?: string;
  compatibility?: boolean; // defaults to true
}
  • productType: what you are designing, such as landing page, dashboard, mobile app, or pricing page.
  • audience: who the interface is for, such as developers, founders, or enterprise buyers.
  • priority: what the design should optimize for or pay extra attention to, such as conversion, readability, premium feel, dense data display, or playful experimentation.
  • compatibility: controls how wild the random combination can be. It defaults to true, which keeps generated parameters more coherent and practical. Set it to false for unconstrained combinations that can intentionally mix clashing eras, styles, palettes, layouts, and materials.

get_version takes no arguments and returns the package version from package.json. Use it to confirm which published or cached MCP package version an MCP client is running.

Development

npm install
npm run build
npm run check

Preview one generated design direction locally:

npm run dev

Optional preview context:

RANDOM_DESIGN_PRODUCT_TYPE="Landing page" \
RANDOM_DESIGN_AUDIENCE="Developers" \
RANDOM_DESIGN_PRIORITY="Conversion" \
RANDOM_DESIGN_COMPATIBILITY=false \
npm run dev

Frequently asked questions

What is Random Design?

Generate randomized English Markdown frontend design directions from curated catalogs.

How do I install Random Design?

It runs on your machine. In Claude Code: claude mcp add random-design -- npx -y random-design-mcp@2.1.0. For other clients, paste the JSON configuration from this page into their MCP settings.

Does Random Design need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is Random Design open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains Random Design?

It is published by yanislav-igonin. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.