Build Salesforce-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, configuring the connection to Salesforce, connecting the Code Assist MCP add-on to Gemini Code Assist, and querying live Salesforce data from within the editor.

Getting Started

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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 has been installed
4. Access to Salesforce

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

1. To begin, download the CData Code Assist MCP for Salesforce
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.

Step 2: Configure the connection to Salesforce

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

   NOTE: If the wizard does not open automatically, search for "CData Code Assist MCP for Salesforce" 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_salesforce") and click OK

4. Enter the appropriate connection properties in the configuration wizard

   There are several authentication methods available for connecting to Salesforce: OAuth, Login (or basic), and SSO. The Login method requires you to have the username, password, and security token of the user.

   OAuth Authentication (default)

   The default authentication mechanism (and the one preferred by Salesforce) is OAuth. To use OAuth with CData's embedded OAuth application, leave the connection properties blank. If you have configured your own custom OAuth application with Salesforce (see the Help documentation for more information), set OAuthClientId, OAuthClientSecret, and CallbackURL to the properties for you application. Set InitiateOAuth to the desired OAuth flow ("GETANDREFRESH" will have the connector manage the entire OAuth flow).

   Login (or Basic) Authentication

   If you do not wish do not wish to use OAuth authentication, you can use Login (or basic) authentication. Set AuthScheme to Basic, and set the User, Password, and SecurityToken properties. You can configure your security token in Salesforce.

   SSO (single sign-on) Authentication

   SSO (single sign-on) can be used by setting the SSOProperties, SSOLoginUrl, and SSOExchangeURL connection properties, which allow you to authenticate to an identity provider. See the "Getting Started" chapter in the Help documentation for more information.

   
5. Click Connect to authenticate with Salesforce 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_salesforce").

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

Step 4: Query live Salesforce 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 Code Assist MCP add-on should appear with a green connection indicator
3. Ask questions about Salesforce data using natural language. For example:

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

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

   "Write a function to retrieve records from the Account table where Industry 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, 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 during development. When you're ready to move to production, CData Salesforce 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.