How to Use the Zuora MCP in Google ADK

Q: How do I use Google ADK for account lookups on Zuora?

To get current details, your agent simply runs getaccount. Because of the long-context window, you can then ask it to compare those initial results against a list of historical data points from BigQuery.

Q: Can Google ADK create Zuora unified orders?

Yes. You call createorder and the agent handles the necessary payload structure for Zuora. It's perfect for transactions where you need to log the new order details alongside existing customer records.

Q: What if I want to review past invoices with Google ADK?

The getinvoices tool handles this. You pass the relevant account ID, and your agent gets back a complete set of billing records. This data can then be fed into Vertex AI for sophisticated analysis.

Q: Does Google ADK support checking subscription charges?

Absolutely. Use previewsubscription to check potential charges before committing any changes. It gives you the necessary financial context to validate a proposed change in your enterprise workflow.

Process massive Zuora data actions with your Google ADK agent.

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Connect Zuora MCP to Google ADK

Create your Vinkius account to connect Zuora 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 Zuora with Google ADK

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Perplexity

Manage entire billing accounts.

Your Gemini model, backed by the Google ADK, can process complex account changes. You'll use `get_account` to read current details and then execute `update_account` when necessary. The agent handles large context windows so it remembers *why* the update is needed. If you need to audit an account before updating it, calling `list_subscriptions` gives your model a full inventory of all active and inactive plans on file.

Analyze deep financial transaction histories.

The Google ADK allows you to correlate billing records across time. Use `get_invoices` to pull raw invoice data, which can then be sent to BigQuery for further analysis. You're not just pulling a list; you're building a dataset. For order tracking, the agent uses `create_order` and then retrieves the full details via `get_order`. This process is excellent when linking new sales records with historical data.

Simulate and audit product catalog changes.

You can build a powerful auditing pipeline. Start by listing available products using `list_products` to get the current catalog structure. Then, you use this list in conjunction with `preview_subscription` to simulate how new pricing affects existing clients. Need to check what's active? The agent calls `list_subscriptions`. This gives the large context model a clear picture of all revenue streams currently running against Zuora.

Setup guide

Set up Zuora 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 Zuora 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="Zuora_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Zuora tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Zuora MCP in Google ADK

To get current details, your agent simply runs `get_account`. Because of the long-context window, you can then ask it to compare those initial results against a list of historical data points from BigQuery.

Yes. You call `create_order` and the agent handles the necessary payload structure for Zuora. It's perfect for transactions where you need to log the new order details alongside existing customer records.

The `get_invoices` tool handles this. You pass the relevant account ID, and your agent gets back a complete set of billing records. This data can then be fed into Vertex AI for sophisticated analysis.

Absolutely. Use `preview_subscription` to check potential charges before committing any changes. It gives you the necessary financial context to validate a proposed change in your enterprise workflow.

The server touches core billing account details and subscription status. This includes `account_id`s and detailed product pricing lists obtained via `list_products`.

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