How to Use the Lanhu MCP in Claude
Inspect design layers and fetch team comments directly inside Claude Desktop to speed up asset handoffs.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Lanhu MCP in Claude Web or Desktop
- 1
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
- 2
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcpReplace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials. - 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
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Lanhu MCP today
We host it, we monitor it, we maintain it. You just paste one token.