# OriginUI MCP Server

> Use this tool when you need to efficiently manage OriginUI components, solving problems of discovery and installation through a unified interface that accepts search queries and outputs detailed component information, visual previews, and installation commands. It streamlines the process of browsing and installing compatible components, making it ideal for developers working with the shadcn CLI. By utilizing the Model Context Protocol, it provides a seamless experience for users to find and integrate necessary components into their projects.

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

## Description

Enables searching, browsing, and installing OriginUI components through the Model Context Protocol. It provides detailed component information, visual previews, and installation commands compatible with the shadcn CLI.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uatup0awvc)
- **Repository:** <https://github.com/kelvinchng/origin-ui-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": "kelvinchng-origin-ui-mcp"
    }
  }
}
```

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