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MrDgbot / lanhu-mcp

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蓝湖MCP lanhu 非浏览器

lanhu lanhuapp mcp
13
0
100% credibility
Found Apr 02, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A bridge that lets AI coding assistants read designs from Lanhu projects to generate HTML/CSS code, extract assets, and analyze prototypes.

How It Works

1
🖥️ Open your AI coding buddy

You launch your favorite AI helper app where you chat with it to build websites and apps.

2
🔗 Connect your designs

You simply share access to your design projects so the AI can peek inside them.

3
📎 Paste the design link

Drop the link to your design project right into the chat – it's that easy!

4
📋 See what's inside

The AI shows you a friendly list of all the designs or pages in your project.

5
🎨 Pick and transform

Choose which designs to convert, and ask the AI to generate code from them.

✨ Get perfect code

You receive ready-to-use webpage code, styles, images, and measurements that match your designs exactly.

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AI-Generated Review

What is lanhu-mcp?

Lanhu-mcp is a TypeScript MCP server that connects AI coding assistants like Cursor, Claude Desktop, and VSCode Copilot to Lanhu design projects, letting you feed design links directly into chat for pixel-accurate HTML/CSS extraction, PRD parsing, and asset downloads. No browser needed—just run `npx -y mcp-lanhu`, add your Lanhu cookie, and paste a project URL to get tools for listing designs/pages, analyzing UI to code, or grabbing slices. It solves the handoff gap between Lanhuapp mcp workflows and AI-driven coding by piping lanhu content mcp straight to your editor.

Why is it gaining traction?

Zero-config stdio transport works out-of-box with MCP clients like Cursor or Claude Code, turning Lanhu links into structured outputs—design tokens, layout summaries, even fallback Sketch annotations when DDS schemas fail. Unlike manual exports or screenshot-to-code plugins, it handles PRDs/Axure prototypes too, with invite link resolution for shared lanhu mcp server access. Devs dig the lanhu developer mcp speed for mcp github copilot intellij/vscode flows, skipping tedious asset hunts.

Who should use this?

Frontend devs at Chinese teams using Lanhu for UI handoffs, especially in Cursor/Claude for rapid prototyping from design specs. Product managers bridging PRDs to code via mcp github n8n or project manager tools, or TypeScript shops integrating lanhu mcp server with mcp github issues/Python hybrids. Skip if you're not on Lanhu or MCP ecosystems.

Verdict

Solid early bet for Lanhu-heavy workflows—docs, scripts, and tests cover quickstarts well—but 13 stars and 1.0% credibility scream "watch before production." Try via npx if you're in Cursor; fork for mcp github typescript polish.

(198 words)

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