How to Query Live BigCommerce Data in Perplexity MacOS Desktop

Perplexity is an AI-powered research and answer engine that allows users to combine web search, structured data, and connected tools through a unified conversational interface. With Perplexity Desktop for macOS, users can bring local tools and data sources directly into their workflow using MCP, enabling fast, context-aware insights powered by live data.

Model Context Protocol (MCP) is an emerging, open-source standard for connecting LLMs with external services and enterprise data sources. Using MCP Servers, AI clients such as Perplexity Desktop can securely interact with applications and data, performing actions, retrieving live information, and enabling natural language access to data.

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, or for querying live data through chat interfaces like Perplexity Desktop.

In this article, we guide you through installing CData Code Assist MCP for BigCommerce, configuring the connection to BigCommerce, and interacting with your live BigCommerce data from Perplexity Desktop.

Step 1: Download and install CData Code Assist MCP for BigCommerce

1. To begin, download CData Code Assist MCP for BigCommerce 👁 Downloading the CData Code Assist MCP installer
   
2. Find and double-click the installer to begin the installation
3. Drag the Code Assist MCP app into the Applications folder 👁 Completing the Code Assist MCP installation
   

When the installation is complete, you are ready to configure Code Assist MCP by connecting to BigCommerce.

NOTE: Since you downloaded the application from the internet and not the Apple App Store, you may see a warning that the application was not opened because Apple could not verify its security. You may continue with the installation.

Installing a trusted, unverified App

CData's solutions are trusted across the globe by some of the largest software vendors in the world. That said, if you have any concerns about continuing, please consult with your IT and/or security team.

1. In the warning message that pops up, click "Done"
2. Open "System Settings" on your machine and navigate to the "Privacy & Security" page
👁 Dismissing the notification

3. Scroll down to the "Security" section and click "Open Anyway" 👁 Installing a trusted, unverified App
   
4. Authorize the installation (passkey or password) 👁 Authorizing the installation
   

Step 2: Configure the Connection to BigCommerce

1. After installation, you can open CData Code Assist MCP for BigCommerce from the Applications folder on your mac 👁 The Code Assist MCP configuration wizard
   
2. Click the dropdown menu in MCP Configuration > Configuration Name and select "new configuration" 👁 Creating a new configuration
   
3. Name the configuration (e.g. "cdata_bigcommerce") and click "OK" 👁 Naming the configuration
   

4. Enter the appropriate connection properties in the configuration wizard.

   BigCommerce authentication is based on the standard OAuth flow. To authenticate, you must initially create an app via the Big Commerce developer platform where you can obtain an OAuthClientId, OAuthClientSecret, and CallbackURL. These three parameters will be set as connection properties to your driver.

   Additionally, in order to connect to your BigCommerce Store, you will need your StoreId. To find your Store Id please follow these steps:

   1. Log in to your BigCommerce account.
   2. From the Home Page, select Advanced Settings > API Accounts.
   3. Click Create API Account.
   4. A text box named API Path will appear on your screen.
   5. Inside you can see a URL of the following structure: https://api.bigcommerce.com/stores/{Store Id}/v3.
   6. As demonstrated above, your Store Id will be between the 'stores/' and '/v3' path paramters.
   7. Once you have retrieved your Store Id you can either click Cancel or proceed in creating an API Account in case you do not have one already.
   👁 Configuring the Server connection.
   
5. Click "Connect" to authenticate with BigCommerce through OAuth.
6. Click "Save Configuration" to save the configuration 👁 Saving the Code Assist MCP configuration
   

With Code Assist MCP configured, you are ready to connect it to Perplexity Desktop.

Step 3: Connect Code Assist MCP to Perplexity Desktop

1. Download the Perplexity Desktop application for macOS and sign in with your Pro or Premium account
2. Open Settings > Connectors. If the Perplexity Helper App is not installed, you will be prompted to download it. Install the Helper App, then restart Perplexity Desktop 👁 Downloading Perplexity Helper App
   
3. After restarting, return to Settings > Connectors and click Add Connector
4. Select the Simple tab and assign a name for the connector (e.g., "CData BigCommerce"). In the Command box, enter the absolute path to the Code Assist MCP executable.

   For example:

   	/Applications/CData Code Assist MCP for BigCommerce.app/Contents/Payload/jre/Contents/Home/bin/java \
   	-jar /Applications/CData Code Assist MCP for BigCommerce.app/Contents/Payload/lib/cdata.mcp.bigcommerce.jar \
   	cdata_bigcommerce
   

   👁 Providing the MCP server command
   
5. Click Save. Code Assist MCP should now appear in the connector list with a "Running" status 👁 Connector successfully running
   

Step 4: Query Your Live BigCommerce data in Perplexity Desktop

1. Open a new chat in Perplexity Desktop. Click the Sources toggle and enable Code Assist MCP 👁 Selecting Code Assist MCP as a source
   
2. Start asking questions about your BigCommerce data. For example:

   "List all the tables available in my BigCommerce data connection."

   👁 Querying live data through MCP
   

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 BigCommerce data during development. When you're ready to move to production, CData BigCommerce 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.