# lanhu-mcp-codex

> Use this tool when you need to integrate design data from Lanhu into AI workflows, such as Codex, to enable design context understanding and generation. It converts Lanhu project links into a consumable format, solving the problem of incompatible design data formats. The tool takes Lanhu design links as input and outputs design context data for AI agents, ideal for use cases requiring design-driven AI decision-making.

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

## Description

Read-only MCP server that converts Lanhu project/design links into design context consumable by Codex or other AI agents.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/eoaw89t2aq)
- **Repository:** <https://github.com/Kforward/lanhu-mcp-codex>

## 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": "kforward-lanhu-mcp-codex"
    }
  }
}
```

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