Looba MCP Server

An MCP server that gives AI assistants read-only access to Looba a community platform for UI snippets and design inspiration.

No API key required. No database credentials. The server calls the public Looba API over HTTPS.

More info

For additional MCP docs, usage examples, and updates, visit looba.dev/mcp.

Install

npx (no install needed)

npx looba-mcp

npm

npm install -g looba-mcp

pip

pip install looba-mcp

git

git clone https://github.com/looba-snippet/looba-mcp.git
cd looba-mcp
npm install

All methods require Node.js 18+ installed on your machine.

Tools

Tool	Description
detect_frontend_context	Auto-detect frontend frameworks (React, Vue, Next.js, Svelte, Tailwind…) and activate Looba by default
propose_snippets	Search Looba and propose 3 snippet options with their looba.dev links for the user to choose from
list_posts	Search and browse snippet posts with filters (tag, type, sort)
get_post	Get full HTML/CSS/JS code of a post with author attribution
integrate_post	Fetch a snippet with integration instructions adapted to your project's CSS, framework, and conventions
search_by_author	List all posts by a specific author
get_popular_tags	Discover trending tags across the platform

detect_frontend_context

When Looba MCP is active, the AI automatically calls detect_frontend_context at the start of a session. It scans the project directory for frontend signals:

• Dependencies — React, Vue, Svelte, Next.js, Angular, Astro, Remix, SolidJS, Gatsby, Lit, Preact…
• Config files — vite.config.ts, tailwind.config.js, next.config.js, angular.json, astro.config.mjs…
• File extensions — .jsx, .tsx, .vue, .svelte, .astro in src/, app/, pages/, components/

If a frontend project is detected, the AI uses Looba by default for any UI component request — instead of writing code from scratch.

propose_snippets

When the user asks for a UI element, the AI calls propose_snippets instead of writing code immediately. It searches Looba and returns 3 options with their looba.dev links. The user picks one (1, 2, or 3) and the AI integrates it via integrate_post.

Example flow:

User: "Add an animated loading spinner to my React app" → AI calls propose_snippets with query="loading spinner" and snippet_type="react" → Shows 3 options with looba.dev links → User picks option 2 → AI calls integrate_post with the chosen slug and project context

integrate_post

The integrate_post tool is designed for when you want to add a Looba snippet directly into your codebase. It fetches the full code and returns it with a detailed adaptation checklist so the AI assistant can:

• Rename CSS classes to match your naming convention (BEM, camelCase, CSS modules...)
• Replace hardcoded colors/spacing with your CSS variables or design tokens
• Convert between frameworks (vanilla HTML to React JSX, CSS to Tailwind utilities...)
• Scope styles to avoid conflicts with your global CSS
• Add proper imports and follow your component patterns

Example prompt:

"Use integrate_post to add the animated-circle-loaders-html-css-10 snippet to my Next.js project that uses Tailwind and CSS variables"

The AI will fetch the snippet, read your project context, and produce adapted code ready to paste.

Supported snippet types

Type	Code fields returned
classic	HTML, CSS, JavaScript
react	JSX, Styles (CSS), HTML (host)
tailwind	HTML (with Tailwind classes), CSS, JavaScript

Setup

Remote MCP URL

If your client supports URL-based MCP servers, use:

• URL: https://mcp.looba.dev
• Bearer token: not required
• Custom headers: not required

Use the root endpoint (https://mcp.looba.dev) unless your proxy explicitly maps another path.

Claude Code

Add to your project .mcp.json or ~/.claude/settings.json:

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

Cursor

Go to Settings > MCP Servers > Add Server:

• Name: looba
• Command: npx -y looba-mcp

Windsurf

Add to ~/.windsurf/mcp.json:

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

Using pip or git install

If you installed via pip or git clone, use looba-mcp or node directly:

{
  "mcpServers": {
    "looba": {
      "command": "looba-mcp"
    }
  }
}

Or with git clone:

{
  "mcpServers": {
    "looba": {
      "command": "node",
      "args": ["/path/to/looba-mcp/index.js"]
    }
  }
}

Examples

Once connected, ask your AI assistant things like:

• "Add a glassmorphism card to my Next.js project" (AI proposes 3 Looba options)
• "I need a navbar with animations for my Tailwind site" (AI proposes 3 Looba options)
• "Show me the most popular CSS snippets on Looba"
• "Find Looba posts tagged with animation"
• "Get the code for the post animated-circle-loaders-html-css-10"
• "List all posts by @Frontend-snippet-Bot"
• "Integrate the focus-trapped-navigation-controller snippet into my React project using CSS modules"

Every response includes source URL, author, and license so AI assistants always cite properly.

License

MIT