How to Use the Zuora MCP in Mastra AI

Q: How do I automate Zuora account setup using Mastra AI?

You can build a full workflow around createaccount. For instance, the agent first validates user data and then executes createaccount only if all required fields are present. This makes billing onboarding reliable.

Q: What is the best way to get Zuora invoice details using Mastra AI?

Use getinvoices. The agent can check a sequence of accounts, calling this tool multiple times and managing the data flow. This helps you build reports on customer spending over time.

Q: Can Mastra AI handle Zuora subscription updates?

Absolutely. You'll use updateaccount to change billing details, or getsubscription to verify current plans. The framework manages the sequence and ensures any required follow-up actions execute.

Q: If I need to verify a product's existence for Zuora using Mastra AI, what tool do I use?

The listproducts function lets your agent fetch the entire catalog. You can then write logic that filters this list down to find the specific SKU you need before proceeding with an order.

Build complex, resilient Zuora financial workflows using Mastra AI.

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Connect Zuora MCP to Mastra AI

Create your Vinkius account to connect Zuora 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 Zuora with Mastra AI

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Handling Zuora Billing Failures with MCP Server

If a payment fails, you don't want the whole process to die. Using `create_account` or `update_account`, your agent can execute conditional logic: if the initial method fails, it automatically retries using an alternate payment type. This built-in workflow engine handles exponential backoff and failure notification, ensuring complex billing processes succeed without human intervention.

Managing Zuora Subscriptions with Mastra AI

`get_subscription` lets your agent pull all the current details of a specific service plan. You can then wrap this in a multi-step workflow, for example: check subscription status, and if it's expired, automatically run `create_order` to renew it. This reliable setup handles everything from checking out using `preview_subscription` to actually creating the record.

Creating Zuora Orders with Mastra AI

When a user signs up, you trigger a workflow that first calls `list_products` to validate items and then uses `create_order`. Because of its robust nature, the agent ensures every step—from product lookup to final order creation—is handled reliably. This is how you build critical financial paths into an automated system.

Setup guide

Set up Zuora 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 Zuora 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: "zuora-mcp-client",
  servers: {
    "zuora-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about Zuora MCP in Mastra AI

You can build a full workflow around `create_account`. For instance, the agent first validates user data and then executes `create_account` only if all required fields are present. This makes billing onboarding reliable.

Use `get_invoices`. The agent can check a sequence of accounts, calling this tool multiple times and managing the data flow. This helps you build reports on customer spending over time.

Absolutely. You'll use `update_account` to change billing details, or `get_subscription` to verify current plans. The framework manages the sequence and ensures any required follow-up actions execute.

This server handles financial records, including billing accounts, order history, and detailed invoice amounts. These are critical financial metrics requiring the highest level of security protocol.

The `list_products` function lets your agent fetch the entire catalog. You can then write logic that filters this list down to find the specific SKU you need before proceeding with an order.

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