ui-layouts-mcp

ui-layouts-mcp

Enables AI assistants to search, understand, and retrieve UI components from ui-layouts.com through tools like search, documentation, metadata, and source code access.

Category
Visit Server

README

@ui-layouts/mcp

npm version node version

MCP Badge

@ui-layouts/mcp provides AI assistants with several valuable tools to help them search, understand, and retrieve UI components from ui-layouts.com.

Each tool can be used independently, but they are designed to work together as a complete "component exploration pipeline."

📦 Installation & MCP Setup

Requirements

  • Node.js: >=20.10.0
  • MCP Client: Claude Desktop, Cursor, or compatible MCP client

Quick Start

Run @ui-layouts/mcp without installing it globally using npx. This is the recommended way to get started:

{
  "mcpServers": {
    "ui-layouts-mcp": {
      "type": "stdio",
      "command": "npx",
      "args": ["@ui-layouts/mcp"]
    }
  }
}

💡 Note: npx will automatically download and run the latest version of @ui-layouts/mcp when needed. No global installation required!

Using with Claude Code (CLI)

claude mcp add ui-layouts-mcp --scope user -- npx -y @ui-layouts/mcp

This registers the MCP server under the CLI-safe name ui-layouts-mcp while still using the @ui-layouts/mcp npm package.


🛠️ Tools

🔍 search_components

Search through the ui-layouts.com component registry by component name, key, group, tags, or href. It performs intelligent matching to find components that meet your criteria and returns detailed information about each match.

When it's useful

  • To find a specific UI component by name or tag
  • To explore available components by category
  • To discover components with particular design or functional features

📘 get_docs

Fetch the complete documentation for a component from ui-layouts.com. You can choose how much content to return, including:

  • raw_html — the original HTML of the documentation page
  • text — plain text extracted from HTML
  • snippet — the main section (e.g. <article> or <main> content only)

When it's useful

  • To read implementation guides and examples
  • To view a component’s structure, props, or variants
  • To extract technical explanations for AI-assisted reasoning or integration

🧩 get_component_meta

Fetch structured HTML metadata for a specific component from ui-layouts.com. It includes fields such as title, description, keywords, Open Graph, Twitter card, and even custom metadata like component-names and available-components.

When it's useful

  • To understand a component’s intent or SEO context
  • To generate previews or summaries automatically
  • To retrieve linked componentNames for source code lookup

💾 get_source_code

Fetch the actual TypeScript/React source code of a component directly from https://ui-layouts.com/r/{component}.json. The tool reads the files[].content field from the JSON registry and returns the .tsx implementation.

When it's useful

  • To review or analyze the source code of a component
  • To use the component implementation as a code example
  • To verify that a component matches your design or API expectations

💬 Prompts

The MCP server also provides reusable prompt templates that guide AI assistants to perform complex tasks using the available tools.

🎯 find_component

Help find the best ui-layouts component(s) for specific requirements, use cases, or design needs.

Parameters:

  • requirements: What you need (e.g. 'collapsible content sections with smooth animation')
  • tags (optional): Comma-separated tags to filter by (e.g. 'interactive,layout')
  • maxCandidates (optional): Max candidates to fetch docs for (default: '3', range: 1-10)

What it does:

  • Generates multiple search queries with synonyms
  • Calls search_components multiple times and merges results
  • Fetches documentation for top candidates using get_docs
  • Provides structured recommendations with:
    • Recommended: name/key/href/tags, why, trade-offs
    • Alternatives: 1-3 alternative options
    • Next steps: Exact tool calls to continue

Strategy:

  • Uses intelligent search with synonyms (e.g. accordion/collapse/disclosure)
  • Prioritizes components matching provided tags
  • Ranks by relevance and compares multiple candidates

🛠️ implement_component

Get a step-by-step implementation guide for a ui-layouts component, including code examples, integration steps, and best practices.

Parameters:

  • componentKey (optional): Component key (e.g. 'accordion', 'sparkles-title')
  • componentHref (optional): Component href (e.g. '/components/accordion')
  • framework (optional): Target framework (e.g. 'react', 'next', 'vite', 'general', default: 'react')
  • includeSourceCode (optional): Whether to include source code ('true' or 'false', default: 'true')

What it does:

  • Fetches component documentation, metadata, and optionally source code
  • Generates a comprehensive implementation guide with:
    • Overview: Component purpose, features, and when to use
    • Installation: Dependencies and setup for the target framework
    • Basic Usage: Minimal working example with explanations
    • Configuration: Available props and customization options
    • Advanced Examples: Real-world use cases with code
    • Integration: Framework-specific setup and patterns
    • Styling & Customization: Theming and appearance customization
    • Best Practices: Performance tips, accessibility, common pitfalls
    • Troubleshooting: Common issues and solutions

Output:

  • Practical, copy-paste ready code examples
  • Framework-specific integration guidance
  • Real code from source when available

🔗 Recommended Workflow

💡 Tip: Combine these tools for a full exploration experience: search_components → get_docs → get_component_meta → get_source_code

Step Description Example
Find components matching a keyword or tag search_components { "q": "accordion" }
Fetch their documentation (HTML/Text) get_docs { "key": "accordion", "format": "snippet" }
Retrieve metadata & component links get_component_meta { "key": "accordion" }
Get TSX source code from registry get_source_code { "componentName": "single-layout-accordion" }

⚙️ Server Info

  • MCP server name (alias): ui-layouts-mcp
  • npm package: @ui-layouts/mcp
  • Version: 0.3.0
  • Transport: stdio
  • Base URL: https://ui-layouts.com

🧠 Example Usage in Cursor / Claude

> call tool search_components { "q": "slider" }
> call tool get_docs { "key": "align-slider" }
> call tool get_component_meta { "key": "align-slider" }
> call tool get_source_code { "componentName": "align-slider" }

👤 Author (Naymur & Jinho)

Be A Sponsor

<a href="https://buymeacoffee.com/uilayouts"> <img align="left" src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" height="50" width="210" alt="naymur-uilayout" /></a> <br/>

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured