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How to Use the VWO MCP in Google ADK

Access VWO data directly into BigQuery using the Google ADK for enterprise agents.

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Google ADK

Connect VWO MCP to Google ADK

Create your Vinkius account to connect VWO 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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Extract Campaign Metrics via MCP Server

To pull performance stats, run `get_campaign_results`. This tool retrieves statistical results for a VWO campaign. The structured output makes it easy to load data into BigQuery. You can also get the basic setup details by calling `get_campaign_details`.

Manage Feature Flags in Google ADK

The agent controls product behavior using `toggle_feature_flag`. You provide the feature ID and whether it should be enabled (true/false). This is how you manage A/B test rollouts. Need to know what's available? Use `list_feature_flags` first.

Identify VWO Scope and Goals

Before building a pipeline, use `get_vwo_account_info` to understand the scope of the entire VWO account. This gives you key organizational data. For tracking, run `list_conversion_goals`. It lists all goals and metrics, like revenue or clicks, that your team is monitoring.

Setup guide

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

You use `get_campaign_results`. The tool takes the necessary IDs and returns structured statistical data, which is ideal for loading into BigQuery.
Yes. `list_feature_flags` pulls a complete inventory of every configured VWO feature flag, letting your agent know what options are there to manage.
First, call `list_vwo_environments` to see if you're in Production or Staging. Then, use that knowledge before running any actions like toggling a feature flag.
Absolutely. The `list_audience_segments` tool lets your agent list every segment defined in VWO, giving you full visibility into user grouping.
The server handles `VWO conversion goals` and related metrics. Be mindful that this includes financial data like revenue and click counts.

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