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Connect Lanhu to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Manage design files and team feedback without leaving your IDE.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 10 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Lanhu.

  1. 01

    Get file

    This capability pulls specific design file information for your agent to analyze.

  2. 02

    List boards

    Use this to see all available project boards in your Lanhu workspace.

  3. 03

    List members

    This capability retrieves a list of team members assigned to your projects.

  4. 04

    List team projects

    Get a full list of all projects belonging to a specific team.

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Lanhu.

  1. 05

    Get board

    This capability provides the specific details for a selected design board.

  2. 06

    Get comments

    Use this to fetch all comments and discussions from a design file.

  3. 07

    Get project

    This capability retrieves the core details of a specific design project.

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Lanhu.

  1. 08

    List layers

    This capability lets your agent see the individual layer structures within a file.

  2. 09

    List project files

    Get a list of all design files, including those from Sketch, Figma, or XD, inside a project.

  3. 10

    List teams

    This capability returns a list of all Lanhu teams you are a part of.

Real work

What teams actually run

01

Rapid Component Inspection

A developer asks the agent for specific layer names and properties to match code to design exactly.

02

Feedback Syncing

A manager asks for the latest comments on a file to see if design changes were approved.

03

Project Auditing

A designer uses the agent to list all files in a project to ensure nothing is missing.

04

Team Onboarding

A new member asks the agent to list team projects and members to get oriented quickly.

Automate a task

Put Lanhu to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Lanhu works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Lanhu to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

948ms average. Fast in production.

Lanhu is checked daily against the live service.

Daily averagePeak 1035ms
Oct 3Today
Fastest day
785ms
Slowest day
1035ms
14-day trend
Stable-2%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Lanhu, so you can see the experience inside your AI.

It does not authenticate your account with Lanhu. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Lanhu Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_4iCH3CfiI2AC3jXYEzpWp1PeEIfLrczfwHOLhlzu/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Lanhu capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "lanhu-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_4iCH3CfiI2AC3jXYEzpWp1PeEIfLrczfwHOLhlzu/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Lanhu in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Lanhu owners hand off.

This MCP is built for teams that use Lanhu to manage design handoffs and need to bridge the gap between design assets and execution.

  • 01

    Frontend Developers

    They use the agent to pull design metadata and layer details without leaving their code editor.

  • 02

    Product Designers

    They automate asset organization and manage project files through natural language.

  • 03

    Product Managers

    They track design progress and monitor team feedback across multiple projects.

  • 04

    Design Ops

    They oversee design workflows and team collaborations without manual overhead.

FAQ

Questions Lanhu owners ask.

  • 01

    How do I connect Lanhu to my AI client?

    You subscribe to the MCP on Vinkius and enter your Lanhu Access Token. Once connected, you can use it immediately in any MCP-compatible client like Claude or Cursor.

  • 02

    What design capabilities can this MCP access?

    The MCP can access design files from Sketch, Figma, and XD that are hosted within your Lanhu workspace.

  • 03

    Can I see design comments through my AI agent?

    Yes, you can use the agent to browse and retrieve file comments and discussions from Lanhu.

  • 04

    Does this MCP work with Cursor or VS Code?

    Yes, this MCP works with any compatible client, including Cursor, Windsurf, and VS Code.

  • 05

    What kind of design data can my agent retrieve?

    Your agent can retrieve project details, board information, file metadata, layer structures, and team member lists.

  • 06

    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.

  • 07

    Can I read design layer information through the agent?

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

  • 08

    Does Lanhu support team-based organization?

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

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