How do I find my Lanhu Access Token?

Log in to Lanhu, go to [User Settings] → [Access Token], and generate a new token. Copy it immediately as it won't be shown again.

Can I read design layer information through the agent?

Yes. Use the `list_layers` tool with the design file ID. This allows your agent to retrieve the layer structure and design nodes for that specific file.

Does Lanhu support team-based organization?

Yes. You can list all your teams using the `list_teams` tool and then explore projects and members specifically for each team using their IDs.

Lanhu MCP Server for Cursor 10 tools — connect in under 2 minutes

Name: Lanhu
Availability: InStock
Author: Vinkius

docs.cursor.com/context/model-context-protocol

Built by Vinkius GDPR 10 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Lanhu and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

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

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Lanhu MCP Server

Empower your AI agent to orchestrate your product design workflow with Lanhu (蓝湖), the premier design collaboration platform for high-performance teams. By connecting Lanhu to your agent, you transform complex design handoffs and project coordination into a natural conversation. Your agent can instantly list your projects, retrieve design file information, audit layer structures, and even browse team comments without you needing to navigate the web interface. Whether you are managing a mobile app design or a large-scale enterprise system, your agent acts as a real-time design coordinator, keeping your assets organized and your production moving.

Cursor's Agent mode turns Lanhu into an in-editor superpower. Ask Cursor to generate code using live data from Lanhu and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

What you can do

Project Orchestration — List all accessible design projects and files across your Lanhu workspace.
Design Auditing — Retrieve detailed metadata about design files, including layers and node structures.
Collaboration Monitoring — Browse file comments and discussions to stay informed about team feedback.
Board Management — Access design boards to understand project organization and milestones.
Team Coordination — List teams and members to manage assignments and participation effectively.

The Lanhu MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Lanhu to Cursor via MCP

Follow these steps to integrate the Lanhu MCP Server with Cursor.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using Lanhu

Open Agent mode in chat and ask: "Using Lanhu, help me...". 10 tools available

Why Use Cursor with the Lanhu MCP Server

Cursor AI Code Editor provides unique advantages when paired with Lanhu through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Lanhu + Cursor Use Cases

Practical scenarios where Cursor combined with the Lanhu MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Lanhu MCP Tools for Cursor (10)

These 10 tools become available when you connect Lanhu to Cursor via MCP:

get_board

Get board details

get_comments

Get file comments

get_file

Get design file info

get_project

Get project details

list_boards

List project boards

list_layers

List file layers

list_members

List team members

list_project_files

g., from Sketch, Figma, XD) within a specific project. List project design files

list_team_projects

List team projects

list_teams

List all Lanhu teams

Example Prompts for Lanhu in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with Lanhu immediately.

"List all my design projects on Lanhu."

"Show me the comments for design file 'checkout-v1'."

"List the layers for file 'homepage-main'."

Troubleshooting Lanhu MCP Server with Cursor

Common issues when connecting Lanhu to Cursor through the Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Lanhu + Cursor FAQ

Common questions about integrating Lanhu MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.