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How to Use the Unbounce MCP in Google ADK

Scale marketing analysis with Google ADK's robust capabilities.

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Google ADK

Connect Unbounce MCP to Google ADK

Create your Vinkius account to connect Unbounce 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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Processing Unbounce Leads in BigQuery via MCP Server

When an agent pulls a list of leads using `list_leads`, your system can feed that structured data directly into BigQuery for deep analysis. This lets you run cohort analyses on conversion performance. If you need to check the status of specific users, the `get_lead` tool provides targeted records ready for ingestion into Google Cloud infrastructure.

Mapping Unbounce Assets with Google ADK

The agent uses `list_pages` to map every active landing page within a sub-account. This allows your models to build comprehensive indexes of all available marketing assets for review. It also calls `get_page` when you need the full text and structure of a single page, which is perfect for feeding into long-context Gemini reasoning.

Listing Unbounce Configuration Details via MCP Server

Need to know what domains are available? The `list_domains` tool gives you that list. This lets your agent validate custom domain status before launching new campaigns. Similarly, the `list_form_fields` tool ensures your models understand all data capture points on a page, preventing missed inputs.

Setup guide

Set up Unbounce 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. 1

    Install Google ADK

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

  2. 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. 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. 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 Unbounce 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="Unbounce_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Unbounce tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Unbounce. 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 Unbounce MCP in Google ADK

Your agent uses the MCP Server to retrieve structured Unbounce data. Because it integrates with BigQuery, you can analyze that data immediately within your existing Google Cloud environment.
Yes. The `list_accounts` and `list_sub_accounts` tools let your agent manage resources across several accounts, making it easy to run multi-client reports.
The server provides details on pages, leads, account structures, and form field definitions. This structured marketing data powers your agents' reasoning within Gemini models.
Definitely. The `list_pages` and `get_page` tools allow you to systematically pull content from every landing page, regardless of which sub-account it lives in.
The server touches account details, form field definitions, and individual lead records. The primary sensitive data type is customer contact information gathered through forms.

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