# lanhu-ui

> lanhu-ui — revfanc-lanhu-mcp. Use this tool when you need to implement high-fidelity UI designs with precision, as it fetches Lanhu UI design specs and assets, providing coding agents with exact coordinates, styles, and downloaded resources to streamline development. It solves problems of manual design interpretation and asset gathering, saving time and reducing errors. Ideal for use cases where accurate UI implementation is crucial, such as front-end development and design-handoff workflows.

Canonical page: https://skillsregistry.net/skills/revfanc-lanhu-mcp  
JSON: https://api.skillsregistry.net/v1/skills/revfanc-lanhu-mcp

## Description

Fetches Lanhu UI design specs and assets with minimal tokens, enabling coding agents to implement high-fidelity UI by providing precise coordinates, styles, and downloaded resources.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rlblxnijlo)
- **Repository:** <https://github.com/revfanc/lanhu-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": "revfanc-lanhu-mcp"
    }
  }
}
```

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