How to Access Live Zuora Data in Visual Studio Code via Cline
Cline is an autonomous coding agent right in your IDE, capable of creating/editing files, running commands, using the browser, and more with your permission every step of the way. When paired with the CData MCP Server for Zuora, you get live access to CRM data within your IDE, enabling you to build, test, and validate data-driven features using real-time schema and records without ever leaving your development environment.
This article outlines how to run the CData MCP Server for Zuora on WSL (Windows Subsystem for Linux) and connect to it from the Cline extension in Visual Studio Code on Windows.
Background
CData MCP Servers are typically designed for clients like Claude Desktop. However, when attempting to use the server via the Cline extension in Windows VS Code, the following error occurred:
MCP error -32000: Connection closed
This issue is suspected to be caused by I/O handling problems in the stdio transport implementation on the Windows version of the Cline extension.
- Related GitHub Issue: https://github.com/cline/cline/issues/3464
- Additionally, environment variables such as PATH may not be inherited correctly when launching processes like Java or Node.
Prerequisites
- Visual Studio Code installed on Windows
- Cline extension installed and configured in VS Code
- Windows Subsystem for Linux (WSL) installed with a working Linux distribution (e.g., Ubuntu)
- Java 21+ JRE installed in WSL
- CData MCP Server for Zuora installed on Windows
Step 1: Authenticate with Zuora (on Windows)
Before running the MCP Server in WSL, you must complete authentication flow in a Windows environment. This ensures all necessary credentials are generated and stored properly. Find and run the "CData MCP Server for Zuora" or execute the MCP Server JAR file to open the configuration wizard.
java -jar "C:\Program Files\CData\CData MCP Server for Zuora 2024\lib\cdata.mcp.zuora.jar"
Connecting to Zuora
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.
Configuring the CData MCP Server
Name your MCP Server (e.g. cdatazuora), enter the required connection properties, and click "Connect."
Upon successful connection, the following directory and files will be created:
C:\Users\<username>\AppData\Roaming\CData\zuora Provider\ |-- cdatazuora.mcp |-- (other supporting config files)
Step 2: Copy the MCP Server Configuration into WSL
Next, copy the entire configuration folder from Windows into your WSL environment.
mkdir -p ~/.config/CData/ cp -r /mnt/c/Users/<username>/AppData/Roaming/CData/"zuora Provider" ~/.config/CData/
Ensure the destination path matches exactly: ~/.config/CData/zuora Provider/.
Step 3: Install the MCP Server on WSL
Install Java and place the MCP Server JAR in the desired location within WSL:
sudo apt update sudo apt install openjdk-21-jre-headless sudo mkdir -p /opt/cdata/mcp_zuora/lib sudo cp /mnt/c/Program\ Files/CData/CData\ MCP\ Server\ for\ Zuora\ 2024/lib/cdata.mcp.zuora.jar /opt/cdata/mcp_zuora/lib/
Step 4: Configure Cline
Now, configure the Cline extension to launch the MCP Server inside WSL using the wsl command.
Create or update cline_mcp_settings.json with the following content:
{
"mcpServers": {
"cdatazuora": {
"autoApprove": ["*"],
"disabled": false,
"timeout": 60,
"type": "stdio",
"command": "wsl",
"args": [
"-d",
"Ubuntu", // Replace with your installed WSL distro name
"--",
"/usr/bin/java",
"-jar",
"/opt/cdata/mcp_zuora/lib/cdata.mcp.zuora.jar",
"cdatazuora"
],
"env": {
"JAVA_TOOL_OPTIONS": "-Xmx2g"
}
}
}
}
Note: Replace Ubuntu with your actual WSL distribution name (e.g., Ubuntu-22.04). Run wsl -l in PowerShell or CMD to confirm.
Step 5: Interact with Live Data in Cline
From within Visual Studio Code, you can now run MCP commands through the Cline extension.
cdatazuora_get_tables cdatazuora_get_columns Invoices
If configured correctly, these commands will return a list of available Zuora objects and metadata, allowing you to interact with your CRM schema in real time.
Try natural language prompts like:
- "Generate a React form to create a new Zuora Lead."
- "Write a Python function to pull Opportunities closed this quarter."
Connect your AI to your data today!
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