How to Use the Lanhu MCP in Google ADK

Q: How does Lanhu work with Google ADK?

You use the McpToolset class to connect the server to your agent. It integrates into your existing Google Cloud infrastructure, allowing your model to call tools as needed.

Q: Can I use Google ADK to filter Lanhu tools?

Absolutely. You can pass a tool name filter to the McpToolset to ensure your agent only uses the specific Lanhu functions you want to expose.

Q: Does Lanhu support long-context models in Google ADK?

Yes. Since your agent can pull data via listlayers and getproject, it can feed these structures into the large context window of Gemini for deeper reasoning.

Integrate Lanhu with Google ADK to power your Gemini-based workflows with live design data and project handoffs.

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Connect Lanhu MCP to Google ADK

Create your Vinkius account to connect Lanhu to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Lanhu with Google ADK

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Manage project files via Google ADK

Use `list_project_files` and `list_team_projects` to query your entire design organization. This allows your agent to navigate workspace hierarchies and locate specific assets in seconds. Your agent gains a clear map of your design ecosystem. It knows exactly where to look when you need to pull assets for a build.

Extract design metadata for Google ADK

Query specific board details using `get_board` to understand the layout and constraints of your UI. This data informs your agent's reasoning when it builds components. Feeding design intent directly into your model prevents common implementation errors. You get code that matches the designer's original vision.

Track team activity and feedback

Call `list_teams` and `get_comments` to monitor the pulse of your design department. Your agent can summarize open design issues or report on project status updates. It turns raw comments into actionable insights for your developers. You spend less time hunting for information and more time building.

Setup guide

Set up Lanhu MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Lanhu tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Lanhu_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Lanhu tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lanhu. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Lanhu MCP in Google ADK

You use the `McpToolset` class to connect the server to your agent. It integrates into your existing Google Cloud infrastructure, allowing your model to call tools as needed.

Absolutely. You can pass a tool name filter to the `McpToolset` to ensure your agent only uses the specific Lanhu functions you want to expose.

Security is built into the transport layer. Every request from the Google ADK to the server is authenticated, and the system only accesses the design files you explicitly request.

Yes. Since your agent can pull data via `list_layers` and `get_project`, it can feed these structures into the large context window of Gemini for deeper reasoning.

Vinkius handles the auth flow. You only need to provide an endpoint token, and the server manages the interaction with your Lanhu account securely.

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