How to Use the Lanhu MCP in Claude Code
Query Lanhu design assets, layers, and team feedback directly from your terminal using Claude Code.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Lanhu MCP to Claude Code
Create your Vinkius account to connect Lanhu to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Terminal-Based Design Audits with Claude Code
This setup uses `list_project_files` and `list_boards` to let you audit your design files straight from the command line. You don't need a heavy browser interface to check if your assets match the latest design system. Claude Code queries `get_project` to fetch the metadata and compares it to your local files. It quickly flags missing assets or outdated layers, keeping your repository clean and accurate.
Command-Line Asset Extraction via MCP Server
The `get_file` and `list_layers` tools allow Claude Code to extract visual assets and layout specs directly to your local disk. You can pipe this raw data into custom shell scripts or build pipelines. Instead of clicking through a GUI to export images, you tell Claude Code to pull the files. It handles the API calls, downloads the assets, and places them exactly where your build script expects them.
Headless Feedback Tracking
This integration uses `get_comments` to let you monitor design discussions directly from your terminal session. You can query active comment threads on specific boards without opening the web app. By combining `list_members` and `list_teams`, you can filter comments by team or designer. This makes it easy to run cron jobs or CI checks that alert your team when critical design blocks are resolved.
Set up Lanhu MCP in Claude Code
Prerequisites
- Claude Code CLI installed (
npm install -g @anthropic-ai/claude-code) - Active Vinkius subscription with a valid endpoint token
- 1
Run the add command
Open your terminal and run the command shown on the right. Replace
[YOUR_TOKEN_HERE]with your endpoint token from cloud.vinkius.com. Use--scope userto make it available across all projects. - 2
Verify the connection
Start a Claude Code session and type
/mcpto list connected servers. You should seelanhu-mcpwith a green status indicator. - 3
Start using tools
Ask Claude Code something like "Check my latest Lanhu transactions." It will automatically discover and invoke the available Lanhu tools.
claude mcp add --transport http lanhu-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp 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 Code
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.