# ui-layouts-mcp

> Use this tool when you need to efficiently retrieve UI components or access specific design elements from ui-layouts.com. It solves problems related to UI design and development by providing AI assistants with search, documentation, and metadata capabilities. The tool accepts queries and keywords as inputs and returns relevant UI components, documentation, or source code as outputs.

Canonical page: https://skillsregistry.net/skills/ui-layouts-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ui-layouts-mcp

## Description

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

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xa8404ozit)
- **Repository:** <https://github.com/ui-layouts/mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ui-layouts-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ui-layouts-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ui-layouts-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt