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How to Use the Lanhu MCP in Cursor

Generate frontend code using live design layers and project files directly inside Cursor.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Lanhu MCP to Cursor

Create your Vinkius account to connect Lanhu to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Write code using live Cursor MCP Server design data

The `list_layers` tool feeds raw design document structures directly into the Cursor composer. Your editor reads the exact layer properties and coordinates to generate pixel-perfect CSS. By using real API responses instead of static image files, your editor builds components that match the design spec. This eliminates the usual guesswork when translating visual layouts to React or HTML.

Sync project files directly to your workspace

The `list_project_files` tool lists all design files linked to your workspace. Once identified, `get_file` retrieves the precise file metadata so your agent can download assets directly using this MCP Server. This workflow keeps your local asset folder updated with the latest design changes. Cursor reads the file paths and writes the assets directly into your project directory.

Map board hierarchies to code structures

The `list_boards` tool retrieves the layout structure of your active project boards. Your agent uses `get_board` to parse the visual hierarchy and generate matching component folders. This mapping ensures your frontend architecture mimics the designer's organization. You spend less time refactoring file structures and more time writing logic.

Setup guide

Set up Lanhu MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP Settings

    Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".

  2. 2

    Add the Lanhu MCP

    Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Enable Agent mode

    Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.

  4. 4

    Verify the connection

    Ask Cursor something like "List my recent Lanhu transactions." If the MCP tools are loaded correctly, Cursor will call the Lanhu tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "lanhu-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lanhu. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Lanhu MCP in Cursor

Add the server details to your `.cursor/mcp.json` file in your project root. Cursor will automatically detect the 10 design tools for your agent to use via the MCP standard.
Yes. Cursor executes `get_comments` to fetch active threads, allowing the agent to update your code based on designer feedback.
Yes. Cursor uses `list_project_files` to find the assets and `get_file` to fetch the metadata needed to write files locally.
You use `list_teams` to identify your teams, then pass the team ID to `list_team_projects` to view the workspaces.
All communication runs through an ephemeral Vinkius sandbox, meaning your project metadata and layer details are never cached or exposed to third parties using this MCP interface.

Start using the Lanhu MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Lanhu. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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