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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 CData Code Assist MCP for Azure Data Catalog, 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.
CData Code Assist MCP provides schema-aware context to AI tools — whether you're using it for AI-assisted code generation in IDEs like Cursor and Cline, or for querying live data through chat interfaces like Claude Desktop.
This article outlines how to run CData Code Assist MCP for Azure Data Catalog on WSL (Windows Subsystem for Linux) and connect to it from the Cline extension in Visual Studio Code on Windows.
Code Assist MCP is typically designed for clients like Claude Desktop. However, when attempting to use it 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.
Before running Code Assist MCP in WSL, you must complete authentication flow in a Windows environment. This ensures all necessary credentials are generated and stored properly. Find and run "CData Code Assist MCP for Azure Data Catalog" or execute the JAR file to open the configuration wizard.
java -jar "C:\Program Files\CData\CData Code Assist MCP for Azure Data Catalog 20XX\lib\cdata.mcp.azuredatacatalog.jar"
You can optionally set the following to read the different catalog data returned from Azure Data Catalog.
You must use OAuth to authenticate with Azure Data Catalog. OAuth requires the authenticating user to interact with Azure Data Catalog using the browser. For more information, refer to the OAuth section in the help documentation.
Name your configuration (e.g. cdataazuredatacatalog), enter the required connection properties, and click "Connect."
👁 The Code Assist MCP configuration wizard (Google Sheets is shown).Upon successful connection, the following directory and files will be created:
C:\Users\<username>\AppData\Roaming\CData\azuredatacatalog Provider\ |-- cdataazuredatacatalog.mcp |-- (other supporting config files)
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/"azuredatacatalog Provider" ~/.config/CData/
Ensure the destination path matches exactly: ~/.config/CData/azuredatacatalog Provider/.
Install Java and place the Code Assist MCP JAR in the desired location within WSL:
sudo apt update sudo apt install openjdk-21-jre-headless sudo mkdir -p /opt/cdata/mcp_azuredatacatalog/lib sudo cp /mnt/c/Program\ Files/CData/CData\ Code\ Assist\ MCP\ for\ Azure Data Catalog\ 20XX/lib/cdata.mcp.azuredatacatalog.jar /opt/cdata/mcp_azuredatacatalog/lib/
Now, configure the Cline extension to launch Code Assist MCP inside WSL using the wsl command.
Create or update cline_mcp_settings.json with the following content:
{
"mcpServers": {
"cdataazuredatacatalog": {
"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_azuredatacatalog/lib/cdata.mcp.azuredatacatalog.jar",
"cdataazuredatacatalog"
],
"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.
From within Visual Studio Code, you can now run MCP commands through the Cline extension.
cdataazuredatacatalog_get_tables cdataazuredatacatalog_get_columns Tables
If configured correctly, these commands will return a list of available Azure Data Catalog objects and metadata, allowing you to interact with your CRM schema in real time.
Try natural language prompts like:
Download Code Assist MCP for free and give your AI tools schema-aware access to live Azure Data Catalog data during development. When you're ready to move to production, CData Azure Data Catalog Drivers deliver the same SQL-based access with enterprise-grade performance, security, and reliability.
Visit the CData Community to share insights, ask questions, and explore what's possible with MCP-powered AI workflows.
Download a free Azure Data Catalog Code Assist MCP to get started:
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👁 Azure Data Catalog IconThe CData Code Assist MCP for Azure Data Catalog provides schema-aware context for AI-assisted code generation with live Azure Data Catalog data.