How to Query Live Zuora Data in Perplexity MacOS Desktop

Perplexity is an AI-powered research and answer engine that allows users to combine web search, structured data, and connected tools through a unified conversational interface. With Perplexity Desktop for macOS, users can bring local tools and data sources directly into their workflow using MCP, enabling fast, context-aware insights powered by live data.

Model Context Protocol (MCP) is an emerging, open-source standard for connecting LLMs with external services and enterprise data sources. Using MCP Servers, AI clients such as Perplexity Desktop can securely interact with applications and data, performing actions, retrieving live information, and enabling natural language access to data.

In this article, we guide you through installing the CData MCP Server for Zuora, configuring the connection to Zuora, and interacting with your live Zuora data from Perplexity Desktop.

Step 1: Download and install the CData MCP Server for Zuora

1. To begin, download the CData MCP Server for Zuora
2. Find and double-click the installer to begin the installation
3. Drag the CData MCP Server app into the Applications folder

When the installation is complete, you are ready to configure your MCP Server by connecting to Zuora.

NOTE: Since you downloaded the application from the internet and not the Apple App Store, you may see a warning that the application was not opened because Apple could not verify its security. You may continue with the installation.

Installing a trusted, unverified App

CData's solutions are trusted across the globe by some of the largest software vendors in the world. That said, if you have any concerns about continuing, please consult with your IT and/or security team.

1. In the warning message that pops up, click "Done"
2. Open "System Settings" on your machine and navigate to the "Privacy & Security" page

3. Scroll down to the "Security" section and click "Open Anyway"
4. Authorize the installation (passkey or password)

Step 2: Configure the Connection to Zuora

1. After installation, you can open the CData MCP Server for Zuora from the Applications folder on your mac
2. Click the dropdown menu in MCP Configuration > Configuration Name and select "new configuration"
3. Name the configuration (e.g. "cdata_zuora") and click "OK"

4. Enter the appropriate connection properties in the configuration wizard.

   Zuora uses the OAuth standard to authenticate users. See the online Help documentation for a full OAuth authentication guide.

   Configuring Tenant property

   In order to create a valid connection with the provider you need to choose one of the Tenant values (USProduction by default) which matches your account configuration. The following is a list with the available options:

   • USProduction: Requests sent to https://rest.zuora.com.
   • USAPISandbox: Requests sent to https://rest.apisandbox.zuora.com"
   • USPerformanceTest: Requests sent to https://rest.pt1.zuora.com"
   • EUProduction: Requests sent to https://rest.eu.zuora.com"
   • EUSandbox: Requests sent to https://rest.sandbox.eu.zuora.com"

   Selecting a Zuora Service

   Two Zuora services are available: Data Query and AQuA API. By default ZuoraService is set to AQuADataExport.

   DataQuery

   The Data Query feature enables you to export data from your Zuora tenant by performing asynchronous, read-only SQL queries. We recommend to use this service for quick lightweight SQL queries.

   Limitations
   • The maximum number of input records per table after filters have been applied: 1,000,000
   • The maximum number of output records: 100,000
   • The maximum number of simultaneous queries submitted for execution per tenant: 5
   • The maximum number of queued queries submitted for execution after reaching the limitation of simultaneous queries per tenant: 10
   • The maximum processing time for each query in hours: 1
   • The maximum size of memory allocated to each query in GB: 2
   • The maximum number of indices when using Index Join, in other words, the maximum number of records being returned by the left table based on the unique value used in the WHERE clause when using Index Join: 20,000

   AQuADataExport

   AQuA API export is designed to export all the records for all the objects ( tables ). AQuA query jobs have the following limitations:

   Limitations
   • If a query in an AQuA job is executed longer than 8 hours, this job will be killed automatically.
   • The killed AQuA job can be retried three times before returned as failed.
   
5. Click "Connect" to authenticate with Zuora through OAuth.
6. Click "Save Configuration" to save the MCP server

With your MCP Server configured, you are ready to connect it to Perplexity Desktop.

Step 3: Connect the MCP Server to Perplexity Desktop

1. Download the Perplexity Desktop application for macOS and sign in with your Pro or Premium account
2. Open Settings > Connectors. If the Perplexity Helper App is not installed, you will be prompted to download it. Install the Helper App, then restart Perplexity Desktop
3. After restarting, return to Settings > Connectors and click Add Connector
4. Select the Simple tab and assign a name for the connector (e.g., "CData Zuora MCP"). In the Command box, enter the absolute path to your MCP Server executable.

   For example:

   	/Applications/CData MCP Server for Zuora.app/Contents/Payload/jre/Contents/Home/bin/java \
   	-jar /Applications/CData MCP Server for Zuora.app/Contents/Payload/lib/cdata.mcp.zuora.jar \
   	cdata_zuora
   

   
5. Click Save. Your MCP Server should now appear in the connector list with a "Running" status

Step 4: Query Your Live Zuora data in Perplexity Desktop

1. Open a new chat in Perplexity Desktop. Click the Sources toggle and enable your MCP Server
2. Start asking questions about your Zuora data. For example:

   "List all the tables available in my Zuora data connection."

   

Connect your AI to your Zuora data today!

CData MCP Servers make it simple to connect Perplexity and other LLM clients to real-time enterprise data. Download a free, 30-day trial and join the CData Community to share insights, ask questions, and help shape the future of enterprise-ready AI.