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How to Use the Zengain MCP in Google ADK

Process Zengain analytics using the Google ADK for enterprise agents.

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Google ADK

Connect Zengain MCP to Google ADK

Create your Vinkius account to connect Zengain 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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Model Key Product Milestones (MCP Server)

The `list_kpms` tool provides a list of all key product milestones. Your agent can then use `get_analytics_summary` to correlate these major company events with overall performance data. This is useful for deep-dive analysis in BigQuery. Instead of just seeing numbers, your client sees what specific business events drove those changes.

Identify High-Intent Website Visitors

`get_user_details` pulls comprehensive user information needed to identify high-intent visitors. You pair this with `list_events` to see the exact sequence of actions that led to their visit. Your agent can process both data sets together, allowing it to build a complete picture of visitor intent before triggering follow-up actions.

Monitor System Webhooks Status

`list_webhooks` shows you every configured webhook endpoint. You should pair this with `get_analytics_summary` to see if the volume of data coming through those webhooks is trending up or down. This helps you maintain system health. Your agent ensures that both your connectivity and your business metrics are stable.

Setup guide

Set up Zengain 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 Zengain 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="Zengain_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Zengain 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 Zengain. 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.

Why Choose Vinkius

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Zengain MCP in Google ADK

Your agent calls specific tools like `get_health_score` directly. The Google ADK handles the connection, allowing Gemini to run complex reasoning on data pulled from Zengain's endpoints.
Yes. Use `list_users` to get a comprehensive list of product users. This allows your agent to check roles, statuses, and basic information across your entire client base.
You should use `track_event` via the toolset. This ensures that every custom event—whether it’s a click or a form view—is logged and available for your agent's long-context analysis.
Yes, `list_products` shows all current products. You can then use `get_product` to fetch the full specification sheet for any item listed by Zengain.
This MCP Server touches **Product** data through tools like `list_products` and `get_product`. Your agent must ensure it handles product specifications correctly when processing user requests.

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