How to Access Live Zoho Recruit 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 CData API Driver for MCP Server, 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 MCP Server 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 API Driver for MCP Server on WSL (Windows Subsystem for Linux) and connect to it from the Cline extension in Visual Studio Code on Windows.

Background

MCP Server 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.

• 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 API Driver for MCP Server installed on Windows

Step 1: Authenticate with Zoho Recruit (on Windows)

Before running 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 "CData API Driver for MCP Server" or execute the JAR file to open the configuration wizard.

java -jar "C:\Program Files\CData\CData MCP Server for Zoho Recruit 20XX\lib\cdata.mcp.api.jar"

Connecting to Zoho Recruit

To authenticate to ZohoRecruit, and connect to your own data or to allow other users to connect to their data, you can use the OAuth standard.

Using OAuth Authentication

First, you will need to register an OAuth application with ZohoRecruit. To do so, go to the Zoho Developer Console, add a new Client (Server-based application) and set a valid OAuth redirect URL. Your OAuth application will be assigned a client id and a client secret. Additionally, you will need to set the relevant Domain (.com, .eu, .in, .com.cn, or .jp), which defaults to .com.

After setting the following connection properties, you are ready to connect:

• AuthScheme: Set this to OAuth.
• InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage the process to obtain the OAuthAccessToken.
• OAuthClientId: Set this to the client_id that is specified in your app settings.
• OAuthClientSecret: Set this to the client_secret that is specified in your app settings.
• CallbackURL: Set this to the Redirect URI that is specified in your app settings.
• Domain: Set this in ProfileSettings to your ZohoRecruit account domain (e.g. .com, .eu, .in, .com.cn, .jp).

Example connection string:

Profile=C:\profiles\ZohoRecruit.apip;ProfileSettings='Domain=.com';AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;

Configuring MCP Server

Name your configuration (e.g. cdataapi), 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\api Provider\
 |-- cdataapi.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/"api Provider" ~/.config/CData/

Ensure the destination path matches exactly: ~/.config/CData/api Provider/.

Step 3: Install 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_api/lib
sudo cp /mnt/c/Program\ Files/CData/CData\ Code\ Assist\ MCP\ for\ Zoho Recruit\ 20XX/lib/cdata.mcp.api.jar /opt/cdata/mcp_api/lib/

Step 4: Configure Cline

Now, configure the Cline extension to launch MCP Server inside WSL using the wsl command.

Create or update cline_mcp_settings.json with the following content:

{
  "mcpServers": {
    "cdataapi": {
      "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_api/lib/cdata.mcp.api.jar",
        "cdataapi"
      ],
      "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.

cdataapi_get_tables
cdataapi_get_columns Attachments

If configured correctly, these commands will return a list of available Zoho Recruit 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 Zoho Recruit Lead."
• "Write a Python function to pull Opportunities closed this quarter."

Build with MCP Server. Deploy with CData Drivers.

Download MCP Server for free and give your AI tools schema-aware access to live Zoho Recruit data during development. When you're ready to move to production, CData Zoho Recruit 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.