How to Use the Churnkey MCP in Google ADK

Run enterprise-grade retention analysis with Google ADK by connecting your Gemini models directly to your Churnkey data.

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Connect Churnkey MCP to Google ADK

Create your Vinkius account to connect Churnkey 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 Churnkey with Google ADK

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Analyze Churnkey Data with Google ADK

`get_session_aggregates` and `list_retention_sessions` extract grouped cancellation metrics for your enterprise analytics. Your Gemini agent pulls these counts directly and matches them against BigQuery tables. This MCP Server integration lets you build predictive models on Vertex AI. You can spot churn patterns before they impact your quarterly revenue.

Automate Customer Recovery Workflows

`update_billing_contacts` modifies billing recovery details for customers who are about to churn. Your agent processes these changes autonomously when a billing failure trigger fires in your Google Cloud pipeline. The model handles the updates without human intervention. This saves hours of manual data entry for your finance team.

Retrieve Complete Retention History

`list_customer_retention_history` pulls all past cancellation sessions for a specific account. Your agent reads this history to understand the customer's long-term sentiment. Gemini's million-token context window processes years of customer feedback in seconds. You get clear summaries of why users stay or leave.

Setup guide

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

Install the Google ADK package via pip. Use the toolset class to point to your Vinkius HTTP endpoint, then pass it to your agent tools array.

Yes. Use the optional tool name filter in the ADK setup to expose only specific tools like billing updates while hiding GDPR tools.

Yes, you can feed thousands of retention sessions into Gemini 1.5 Pro. The model analyzes massive datasets of exit surveys without hitting token limits.

No, Vinkius hosts the MCP endpoint for you. Your Google Cloud environment connects to the hosted endpoint directly over HTTP.

Vinkius runs the connector within isolated V8 runtimes, ensuring your customer billing contacts are never exposed to external logs. All traffic uses encrypted transport layers to prevent data leaks.

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