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How to Use the Lanhu MCP in Claude

Inspect design layers and fetch team comments directly inside Claude Desktop to speed up asset handoffs.

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Works with every AI agent you already use

…and any MCP-compatible client

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Claude Desktop

Connect Lanhu MCP to Claude Desktop

Create your Vinkius account to connect Lanhu to Claude Desktop 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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Query design layouts directly inside Claude Desktop

The `list_boards` tool retrieves active design boards directly into your chat interface. You can immediately pass these board identifiers to `get_board` to extract the full layout hierarchy without opening a browser tab. This lets your AI client analyze visual structures, coordinate spacings, and verify component placements. Claude Desktop processes the design hierarchy locally, making it easy to map design specs to your frontend code.

Audit design layers and coordinate assets

The `list_layers` tool exposes the exact document tree of your design files to your agent. When you need to extract specific visual assets, `get_file` retrieves the file metadata and paths. Running this MCP Server locally via Claude Desktop means your agent extracts exact layer dimensions and export paths. You get precise asset data for your build pipeline without manual exports.

Track team feedback and project workspaces

The `get_comments` tool pulls live feedback threads directly into your workspace. Combined with `list_team_projects` and `list_project_files`, your agent tracks exactly what changes designers are demanding through this MCP link. You no longer guess which feedback applies to which file. Claude Desktop displays the active discussions and project files side-by-side, keeping your development aligned with the design team's latest decisions.

Setup guide

Set up Lanhu MCP in Claude Web or Desktop

  1. 1

    Open Claude Settings

    Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

  2. 2

    Add Custom Connector

    Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

  3. 3

    Start a conversation

    Open a new chat. The Lanhu MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

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 Claude Desktop

Edit your `claude_desktop_config.json` to add the Lanhu configuration under the `mcpServers` key. Once you restart the app, the developer hammer icon will show the 10 design tools from this MCP Server.
Yes. Claude Desktop calls `list_project_files` to find the assets, then uses `get_file` to fetch the specific asset details.
The client uses `get_comments` to pull discussion threads directly into your active chat. This allows you to resolve design feedback without leaving the app.
You run `list_boards` to fetch the updated list of boards. The tool returns the new names and IDs, ensuring your queries remain accurate.
Your design layers and comments stay protected inside the Vinkius V8 isolate sandbox. No raw credentials or design metadata are stored on external servers, keeping your MCP connection secure.

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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