How to Access Live Oracle Eloqua Reporting 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 Oracle Eloqua Reporting, 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 Oracle Eloqua Reporting 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 Oracle Eloqua Reporting installed on Windows
Step 1: Authenticate with Oracle Eloqua Reporting (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 Oracle Eloqua Reporting" or execute the MCP Server JAR file to open the configuration wizard.
java -jar "C:\Program Files\CData\CData MCP Server for Oracle Eloqua Reporting 2024\lib\cdata.mcp.oracleeloquareporting.jar"
Connecting to Oracle Eloqua Reporting
Oracle Eloqua Reporting supports the following authentication methods:
- Basic authentication (User and Password)
- OAuth 2.0 code grant flow
- OAuth 2.0 password grant flow
Basic Authentication (User and Password)
To perform authentication with a user and password, specify these properties:
- AuthScheme: Basic.
- Company: The company name associated with your Oracle Eloqua Reporting account.
- User: Your login account name.
- Password: Your login password.
OAuth Authentication (Code Grant Flow)
To authenticate with the OAuth code grant flow, you must set AuthScheme to OAuth and create a custom OAuth application. For information about how to create a custom OAuth application, see the Help documentation.
Then set the following properties:
- InitiateOAuth: GETANDREFRESH. Used to automatically get and refresh the OAuthAccessToken.
- OAuthClientId: The client Id assigned when you registered your application.
- OAuthClientSecret: The client secret that was assigned when you registered your application.
- CallbackURL: The redirect URI that was defined when you registered your application.
When you connect, the driver opens Oracle Eloqua Reporting's OAuth endpoint in your default browser. Log in and grant permissions to the application. When the access token expires, the driver refreshes it automatically.
OAuth Authentication (Password Grant Flow)
With the OAuth password grant flow, you can use your OAuth application's credentials alongside your user credentials to authenticate without the need to grant permission manually via a browser prompt. You must create an OAuth app (see the Help documentation) to use this authentication method.
Set the following properties:
- AuthScheme: OAuthPassword
- Company: The company's unique identifier.
- User: Your login account name.
- Password: Your login password.
- OAuthClientId: The client Id assigned when you registered your custom OAuth application.
- OAuthClientSecret: The client secret assigned when you registered your custom OAuth application.
Configuring the CData MCP Server
Name your MCP Server (e.g. cdataoracleeloquareporting), 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\oracleeloquareporting Provider\ |-- cdataoracleeloquareporting.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/"oracleeloquareporting Provider" ~/.config/CData/
Ensure the destination path matches exactly: ~/.config/CData/oracleeloquareporting 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_oracleeloquareporting/lib sudo cp /mnt/c/Program\ Files/CData/CData\ MCP\ Server\ for\ Oracle Eloqua Reporting\ 2024/lib/cdata.mcp.oracleeloquareporting.jar /opt/cdata/mcp_oracleeloquareporting/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": {
"cdataoracleeloquareporting": {
"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_oracleeloquareporting/lib/cdata.mcp.oracleeloquareporting.jar",
"cdataoracleeloquareporting"
],
"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.
cdataoracleeloquareporting_get_tables cdataoracleeloquareporting_get_columns
If configured correctly, these commands will return a list of available Oracle Eloqua Reporting 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 Oracle Eloqua Reporting Lead."
- "Write a Python function to pull Opportunities closed this quarter."
Connect your AI to your data today!
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