Build Adobe Commerce-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 Adobe Commerce, configuring the connection to Adobe Commerce, connecting the Code Assist MCP add-on to Gemini Code Assist, and querying live Adobe Commerce data from within the editor.
Prerequisites
Before starting, ensure the following requirements are met:
- Visual Studio Code is installed on the machine
- Gemini Code Assist extension is enabled in Visual Studio Code
- CData Code Assist MCP for Adobe Commerce has been installed
- Access to Adobe Commerce
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 Adobe Commerce
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To begin, download the CData Code Assist MCP for Adobe Commerce
- Find and double-click the installer to begin the installation
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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 Adobe Commerce.
Step 2: Configure the connection to Adobe Commerce
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After installation, open the CData Code Assist MCP for Adobe Commerce configuration wizard
NOTE: If the wizard does not open automatically, search for "CData Code Assist MCP for Adobe Commerce" in the Windows search bar and open the application.
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In MCP Configuration > Configuration Name, either select an existing configuration or choose
to create a new one
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Name the configuration (e.g. "cdata_adobe commerce") and click OK
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Enter the appropriate connection properties in the configuration wizard
Adobe Commerce uses the OAuth 1 authentication standard. To connect to the Adobe Commerce REST API, obtain values for the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties by registering an app with your Adobe Commerce system. See the "Getting Started" section in the help documentation for a guide to obtaining the OAuth values and connecting.
You will also need to provide the URL to your Adobe Commerce system. The URL depends on whether you are using the Adobe Commerce REST API as a customer or administrator.
Customer: To use Adobe Commerce as a customer, make sure you have created a customer account in the Adobe Commerce homepage. To do so, click Account -> Register. You can then set the URL connection property to the endpoint of your Adobe Commerce system.
Administrator: To access Adobe Commerce as an administrator, set CustomAdminPath instead. This value can be obtained in the Advanced settings in the Admin menu, which can be accessed by selecting System -> Configuration -> Advanced -> Admin -> Admin Base URL.
If the Use Custom Admin Path setting on this page is set to YES, the value is inside the Custom Admin Path text box; otherwise, set the CustomAdminPath connection property to the default value, which is "admin".
- Click Connect to authenticate with Adobe Commerce through OAuth
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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
- Ensure Visual Studio Code is installed and the Gemini Code Assist extension is enabled
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From the configuration wizard, click Next after saving and testing the connection
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Select Gemini Code Assist from the AI MCP Tool dropdown
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Click Copy JSON to copy the generated MCP configuration to the clipboard
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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_adobe commerce").
- Save the configuration file and restart Visual Studio Code if necessary
Step 4: Query live Adobe Commerce data in Gemini Code Assist
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Open Visual Studio Code and select Gemini Code Assist in the activity bar
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Enter /mcp in the chat prompt to verify the connection status. The Adobe Commerce Code Assist MCP add-on should appear with a green connection indicator
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Ask questions about Adobe Commerce data using natural language. For example:
"Provide the list of all tables available in my Adobe Commerce data connection."
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Generate code that works with live Adobe Commerce data. For example:
"Write a function to retrieve records from the Products table where Name 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 Adobe Commerce, 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 Adobe Commerce data during development. When you're ready to move to production, CData Adobe Commerce 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.