How to Use the Churnkey MCP in Mastra AI

Q: Can a Mastra AI workflow use multiple tools from the Churnkey MCP Server?

Absolutely. That's the point. A single workflow can call listretentionsessions, loop through the results, and then call getretentionsessiondetails for each one that meets certain criteria. Mastra manages the state between these steps.

Build resilient Churnkey workflows with Mastra AI. Automate retention tasks with conditional logic, retries, and error handling built in.

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Connect Churnkey MCP to Mastra AI

Create your Vinkius account to connect Churnkey to Mastra AI 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 Mastra AI

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Automate GDPR Compliance

Build a fully automated GDPR request handler with a Mastra AI workflow. When a request comes in, the first step can call `get_customer_gdpr_data` to package up the user's information. Mastra's engine can then stage this data for review or delivery. After confirmation, a subsequent step in the same workflow triggers `delete_customer_gdpr_data`. Because Mastra handles retries, you don't have to worry about transient network failures. If the deletion succeeds, the workflow can proceed to send a final confirmation email.

Proactive Billing Recovery Workflows

Don't just analyze churn, automate the fix. Create a Mastra AI agent that periodically runs `list_retention_sessions` to find sessions triggered by billing failures. This becomes the starting point for your recovery workflow. Based on the session details, your workflow can use conditional logic. For example: if the customer has a secondary email on file in your CRM, use it to call `update_billing_contacts` in Churnkey. For larger-scale fixes, you can batch updates with `bulk_update_billing_contacts`.

Build Smart Retention Analysis Agents

You can build a Mastra AI agent that acts as a churn watchdog. Set up a workflow that runs `get_session_aggregates` daily. The agent can then check if the number of cancellations for a specific reason has spiked. If a threshold is crossed, the workflow branches. It can then use `list_customer_retention_history` and `get_retention_session_details` to pull specifics from the relevant sessions and post a detailed alert to a Slack channel. This whole process runs automatically via this MCP Server.

Setup guide

Set up Churnkey MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Churnkey tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "churnkey-mcp-client",
  servers: {
    "churnkey-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Churnkey Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Churnkey tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Churnkey transactions"
);
console.log(result.text);

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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 Mastra AI

You instantiate the Mastra MCP client with your Vinkius URL, then call `mcpClient.listTools()`. You can spread the result (`...mcpClient.listTools()`) directly into the `tools` array when defining your agent. Mastra handles the rest.

Absolutely. That's the point. A single workflow can call `list_retention_sessions`, loop through the results, and then call `get_retention_session_details` for each one that meets certain criteria. Mastra manages the state between these steps.

If a Churnkey tool call fails, Mastra AI's workflow engine can automatically retry the operation with exponential backoff. You can configure this behavior, ensuring that temporary issues don't derail your retention automation process.

Build a workflow with human-in-the-loop approval. The workflow can use `get_customer_gdpr_data` to fetch the data, then pause using `requireToolApproval`. Once an operator confirms the deletion, the workflow proceeds to call `delete_customer_gdpr_data`.

The server handles customer identifiers, billing contact details, and data from cancellation sessions. Your Vinkius endpoint token secures every API call, and all processing happens in an isolated Vinkius sandbox. The data is only active for the duration of the tool execution.

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