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 Google ADK 10 tools — connect in under 2 minutes

Name: Lanhu
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Lanhu as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="lanhu_agent",
    instruction=(
        "You help users interact with Lanhu "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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.

Google ADK natively supports Lanhu as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Lanhu MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Lanhu via MCP

Why Use Google ADK with the Lanhu MCP Server

Google ADK provides unique advantages when paired with Lanhu through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Lanhu

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Lanhu tools with BigQuery, Vertex AI, and Cloud Functions

Lanhu + Google ADK Use Cases

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

Enterprise data agents: ADK agents query Lanhu and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Lanhu tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Lanhu regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Lanhu

Lanhu MCP Tools for Google ADK (10)

These 10 tools become available when you connect Lanhu to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Lanhu + Google ADK FAQ

Common questions about integrating Lanhu MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.