How to Use the Landing MCP in Google ADK

Q: How do I register the Landing MCP Server inside a Google ADK agent?

Initialize the McpToolset with the HTTP server parameters pointing to your Vinkius endpoint. Pass this toolset into your LlmAgent constructor to expose the 7 page-management tools to Gemini.

Q: Can my Google ADK agent filter which Landing MCP Server tools are exposed to Gemini?

Yes. Use the toolnames parameter in your McpToolset configuration to restrict access. You can expose only listlandingleads if your agent only needs to read conversion data.

Q: How does Gemini use Landing MCP Server project data for long-context analysis?

The agent calls listlandingprojects and loads the entire payload into its 1M+ token context window. This lets Gemini analyze your complete marketing structure without hitting memory limits.

Q: How do I check which user profile the Google ADK agent is acting under?

The agent executes getmylandingprofile to pull the active account details. This ensures the agent is writing to the correct marketing account before modifying webhooks.

Feed live conversion data into Gemini models using the Google ADK to analyze Landing performance alongside your BigQuery datasets.

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Connect Landing MCP to Google ADK

Create your Vinkius account to connect Landing 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 Landing with Google ADK

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Feed lead data to BigQuery via Google ADK

The `list_landing_leads` tool pulls raw subscriber profiles directly into the Gemini long-context window. This allows your agent to process thousands of leads in a single reasoning loop. By combining this tool with your Google Cloud pipeline, you can export raw lead records into BigQuery. Your agent handles the transfer without manual export steps or custom middleware.

Map campaign structures using this MCP Server

The `list_landing_projects` tool retrieves your entire organizational hierarchy for active marketing campaigns. The Google ADK uses this structural data to ground its reasoning before making page edits. Your agent cross-references these projects with `list_landing_pages` to verify which designs are live. This guarantees your Gemini-powered agent has a complete map of your web assets.

Dynamic event dispatching with Google ADK

The `create_landing_webhook` tool registers real-time event listeners for your active landing pages. Your Gemini agent configures these webhooks to stream conversion events to Vertex AI pipelines. When a tracking target changes, the agent uses `delete_landing_webhook` to clean up the endpoint. This prevents useless event data from cluttering your Google Cloud logging infrastructure.

Setup guide

Set up Landing 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 Landing 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="Landing_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Landing 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 Landing. 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 Landing MCP in Google ADK

Initialize the `McpToolset` with the HTTP server parameters pointing to your Vinkius endpoint. Pass this toolset into your `LlmAgent` constructor to expose the 7 page-management tools to Gemini.

Yes. Use the `tool_names` parameter in your `McpToolset` configuration to restrict access. You can expose only `list_landing_leads` if your agent only needs to read conversion data.

The agent calls `list_landing_projects` and loads the entire payload into its 1M+ token context window. This lets Gemini analyze your complete marketing structure without hitting memory limits.

The agent executes `get_my_landing_profile` to pull the active account details. This ensures the agent is writing to the correct marketing account before modifying webhooks.

Yes. Webhook payloads containing lead emails are transmitted via encrypted TLS tunnels directly to your Google Cloud endpoint. Vinkius runs the bridge in an ephemeral container, ensuring no lead data is cached on external disks.

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