How to Query Live Lakebase 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 Lakebase, configuring the connection to Lakebase, and interacting with your live Lakebase data from Perplexity Desktop.

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

1. To begin, download CData Code Assist MCP for Lakebase 👁 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 Lakebase.

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 Lakebase

1. After installation, you can open CData Code Assist MCP for Lakebase 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_lakebase") and click "OK" 👁 Naming the configuration
   

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

   To connect to Databricks Lakebase, start by setting the following properties:
   • DatabricksInstance: The Databricks instance or server hostname, provided in the format instance-abcdef12-3456-7890-abcd-abcdef123456.database.cloud.databricks.com.
   • Server: The host name or IP address of the server hosting the Lakebase database.
   • Port (optional): The port of the server hosting the Lakebase database, set to 5432 by default.
   • Database (optional): The database to connect to after authenticating to the Lakebase Server, set to the authenticating user's default database by default.

   OAuth Client Authentication

   To authenicate using OAuth client credentials, you need to configure an OAuth client in your service principal. In short, you need to do the following:

   1. Create and configure a new service principal
   2. Assign permissions to the service principal
   3. Create an OAuth secret for the service principal

   For more information, refer to the Setting Up OAuthClient Authentication section in the Help documentation.

   OAuth PKCE Authentication

   To authenticate using the OAuth code type with PKCE (Proof Key for Code Exchange), set the following properties:

   • AuthScheme: OAuthPKCE.
   • User: The authenticating user's user ID.

   For more information, refer to the Help documentation.

   👁 Configuring the Server connection.
   
5. Click "Connect" to authenticate with Lakebase 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 Lakebase"). In the Command box, enter the absolute path to the Code Assist MCP executable.

   For example:

   	/Applications/CData Code Assist MCP for Lakebase.app/Contents/Payload/jre/Contents/Home/bin/java \
   	-jar /Applications/CData Code Assist MCP for Lakebase.app/Contents/Payload/lib/cdata.mcp.lakebase.jar \
   	cdata_lakebase
   

   👁 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 Lakebase 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 Lakebase data. For example:

   "List all the tables available in my Lakebase 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 Lakebase data during development. When you're ready to move to production, CData Lakebase 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.