Build Salesforce Data Cloud-Powered Applications in Gemini Code Assist with CData Code Assist MCP

Gemini Code Assist is an AI-powered coding companion that integrates intelligent code generation into everyday development workflows. With support for MCP, Gemini Code Assist can connect to live enterprise data sources directly from Visual Studio Code, enabling natural language interaction with structured data without switching context or manually writing data access code.

Model Context Protocol (MCP) is an open standard for connecting LLM clients to external services through structured tool interfaces. MCP servers expose capabilities such as schema discovery and live querying, allowing AI agents to retrieve and reason over real-time data safely and consistently.

This guide walks through installing the CData Code Assist MCP for Salesforce Data Cloud, configuring the connection to Salesforce Data Cloud, connecting the Code Assist MCP add-on to Gemini Code Assist, and querying live Salesforce Data Cloud data from within the editor.

Prerequisites

Before starting, ensure the following requirements are met:

1. Visual Studio Code is installed on the machine
2. Gemini Code Assist extension is enabled in Visual Studio Code
3. CData Code Assist MCP for Salesforce Data Cloud has been installed
4. Access to Salesforce Data Cloud

Note: Gemini Code Assist must already be set up and functional in Visual Studio Code before configuring MCP servers. MCP servers are accessed when Gemini Code Assist is running in Agent mode.

Step 1: Download and install the CData Code Assist MCP for Salesforce Data Cloud

1. To begin, download the CData Code Assist MCP for Salesforce Data Cloud
2. Find and double-click the installer to begin the installation
3. Run the installer and follow the prompts to complete the installation

When the installation is complete, the Code Assist MCP add-on is ready for configuration by connecting to Salesforce Data Cloud.

Step 2: Configure the connection to Salesforce Data Cloud

1. After installation, open the CData Code Assist MCP for Salesforce Data Cloud configuration wizard

   NOTE: If the wizard does not open automatically, search for "CData Code Assist MCP for Salesforce Data Cloud" in the Windows search bar and open the application.

   
2. In MCP Configuration > Configuration Name, either select an existing configuration or choose to create a new one
3. Name the configuration (e.g. "cdata_salesforcedatacloud") and click OK

4. Enter the appropriate connection properties in the configuration wizard

   Salesforce Data Cloud supports authentication via the OAuth standard.

   OAuth

   Set AuthScheme to OAuth.

   Desktop Applications

   CData provides an embedded OAuth application that simplifies authentication at the desktop.

   You can also authenticate from the desktop via a custom OAuth application, which you configure and register at the Salesforce Data Cloud console. For further information, see Creating a Custom OAuth App in the Help documentation.

   Before you connect, set these properties:

   • InitiateOAuth: GETANDREFRESH. You can use InitiateOAuth to avoid repeating the OAuth exchange and manually setting the OAuthAccessToken.
   • OAuthClientId (custom applications only): The Client ID assigned when you registered your custom OAuth application.
   • OAuthClientSecret (custom applications only): The Client Secret assigned when you registered your custom OAuth application.

   When you connect, the driver opens Salesforce Data Cloud's OAuth endpoint in your default browser. Log in and grant permissions to the application.

   The driver then completes the OAuth process as follows:

   • Extracts the access token from the callback URL.
   • Obtains a new access token when the old one expires.
   • Saves OAuth values in OAuthSettingsLocation so that they persist across connections.

   For other OAuth methods, including Web Applications and Headless Machines, refer to the Help documentation.

   
5. Click Connect to authenticate with Salesforce Data Cloud through OAuth
6. Then, click Save Configuration to save the Code Assist MCP add-on

This process creates a .mcp configuration file that Gemini Code Assist will reference when launching the Code Assist MCP add-on. With the Code Assist MCP add-on configured, it is ready to connect to Gemini Code Assist.

Step 3: Connect the Code Assist MCP add-on to Gemini Code Assist

1. Ensure Visual Studio Code is installed and the Gemini Code Assist extension is enabled
2. From the configuration wizard, click Next after saving and testing the connection
3. Select Gemini Code Assist from the AI MCP Tool dropdown
4. Click Copy JSON to copy the generated MCP configuration to the clipboard
5. Paste the copied JSON into the appropriate configuration file based on the desired scope:
   • User-level: Configuration applies across all projects for the current user
   • Workspace-level: Configuration applies only to the current workspace or project

   NOTE: The configuration includes the path to Java 17+ executable and the CData Code Assist MCP add-on JAR file. The final argument must match the MCP configuration name saved in the wizard (e.g. "cdata_salesforcedatacloud").

6. Save the configuration file and restart Visual Studio Code if necessary

Step 4: Query live Salesforce Data Cloud data in Gemini Code Assist

1. Open Visual Studio Code and select Gemini Code Assist in the activity bar
2. Enter /mcp in the chat prompt to verify the connection status. The Salesforce Data Cloud Code Assist MCP add-on should appear with a green connection indicator
3. Ask questions about Salesforce Data Cloud data using natural language. For example:

   "Provide the list of all tables available in my Salesforce Data Cloud data connection."

   
4. Generate code that works with live Salesforce Data Cloud data. For example:

   "Write a function to retrieve records from the Account table where [Account ID] matches a given value."

   

Gemini Code Assist is now fully integrated with the CData Code Assist MCP add-on and can use the MCP tools exposed to explore schemas, execute live queries against Salesforce Data Cloud, and generate data-aware code.

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 Salesforce Data Cloud data during development. When you're ready to move to production, CData Salesforce Data Cloud 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.