How to Access Live Sage 300 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 Code Assist MCP for Sage 300, 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 Sage 300 on WSL (Windows Subsystem for Linux) and connect to it from the Cline extension in Visual Studio Code on Windows.

Background

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.

• 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 Code Assist MCP for Sage 300 installed on Windows

Step 1: Authenticate with Sage 300 (on Windows)

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 Sage 300" or execute the JAR file to open the configuration wizard.

java -jar "C:\Program Files\CData\CData Code Assist MCP for Sage 300 20XX\lib\cdata.mcp.sage300.jar"

Connecting to Sage 300

Sage 300 requires some initial setup in order to communicate over the Sage 300 Web API.

• Set up the security groups for the Sage 300 user. Give the Sage 300 user access to the option under Security Groups (per each module required).
• Edit both web.config files in the /Online/Web and /Online/WebApi folders; change the key AllowWebApiAccessForAdmin to true. Restart the webAPI app-pool for the settings to take.
• Once the user access is configured, click https://server/Sage300WebApi/ to ensure access to the web API.

Authenticate to Sage 300 using Basic authentication.

Connect Using Basic Authentication

You must provide values for the following properties to successfully authenticate to Sage 300. Note that the provider reuses the session opened by Sage 300 using cookies. This means that your credentials are used only on the first request to open the session. After that, cookies returned from Sage 300 are used for authentication.

• Url: Set this to the url of the server hosting Sage 300. Construct a URL for the Sage 300 Web API as follows: {protocol}://{host-application-path}/v{version}/{tenant}/ For example, http://localhost/Sage300WebApi/v1.0/-/.
• User: Set this to the username of your account.
• Password: Set this to the password of your account.

Configuring Code Assist MCP

Name your configuration (e.g. cdatasage300), 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\sage300 Provider\
 |-- cdatasage300.mcp
 |-- (other supporting config files)

Step 2: Copy the Code Assist MCP 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/"sage300 Provider" ~/.config/CData/

Ensure the destination path matches exactly: ~/.config/CData/sage300 Provider/.

Step 3: Install Code Assist MCP on WSL

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_sage300/lib
sudo cp /mnt/c/Program\ Files/CData/CData\ Code\ Assist\ MCP\ for\ Sage 300\ 20XX/lib/cdata.mcp.sage300.jar /opt/cdata/mcp_sage300/lib/

Step 4: Configure Cline

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": {
 "cdatasage300": {
 "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_sage300/lib/cdata.mcp.sage300.jar",
 "cdatasage300"
 ],
 "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.

cdatasage300_get_tables
cdatasage300_get_columns OEInvoices

If configured correctly, these commands will return a list of available Sage 300 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 Sage 300 Lead."
• "Write a Python function to pull Opportunities closed this quarter."

Build with Code Assist MCP. Deploy with CData Drivers.

Download Code Assist MCP for free and give your AI tools schema-aware access to live Sage 300 data during development. When you're ready to move to production, CData Sage 300 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.