How to Query Live Databricks 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.
In this article, we guide you through installing the CData MCP Server for Databricks, configuring the connection to Databricks, and interacting with your live Databricks data from Perplexity Desktop.
About Databricks Data Integration
Accessing and integrating live data from Databricks has never been easier with CData. Customers rely on CData connectivity to:
- Access all versions of Databricks from Runtime Versions 9.1 - 13.X to both the Pro and Classic Databricks SQL versions.
- Leave Databricks in their preferred environment thanks to compatibility with any hosting solution.
- Secure authenticate in a variety of ways, including personal access token, Azure Service Principal, and Azure AD.
- Upload data to Databricks using Databricks File System, Azure Blog Storage, and AWS S3 Storage.
While many customers are using CData's solutions to migrate data from different systems into their Databricks data lakehouse, several customers use our live connectivity solutions to federate connectivity between their databases and Databricks. These customers are using SQL Server Linked Servers or Polybase to get live access to Databricks from within their existing RDBMs.
Read more about common Databricks use-cases and how CData's solutions help solve data problems in our blog: What is Databricks Used For? 6 Use Cases.
Getting Started
Step 1: Download and install the CData MCP Server for Databricks
- To begin, download the CData MCP Server for Databricks
- Find and double-click the installer to begin the installation
- Drag the CData MCP Server app into the Applications folder
When the installation is complete, you are ready to configure your MCP Server by connecting to Databricks.
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.
- In the warning message that pops up, click "Done"
- Open "System Settings" on your machine and navigate to the "Privacy & Security" page
- Scroll down to the "Security" section and click "Open Anyway"
- Authorize the installation (passkey or password)
Step 2: Configure the Connection to Databricks
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After installation, you can open the CData MCP Server for Databricks from the Applications folder on your mac
- Click the dropdown menu in MCP Configuration > Configuration Name and select "new configuration"
- Name the configuration (e.g. "cdata_databricks") and click "OK"
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Enter the appropriate connection properties in the configuration wizard.
To connect to a Databricks cluster, set the properties as described below.
Note: The needed values can be found in your Databricks instance by navigating to Clusters, and selecting the desired cluster, and selecting the JDBC/ODBC tab under Advanced Options.
- Server: Set to the Server Hostname of your Databricks cluster.
- HTTPPath: Set to the HTTP Path of your Databricks cluster.
- Token: Set to your personal access token (this value can be obtained by navigating to the User Settings page of your Databricks instance and selecting the Access Tokens tab).
- Click "Connect" to authenticate with Databricks.
- Click "Save Configuration" to save the MCP server
With your MCP Server configured, you are ready to connect it to Perplexity Desktop.
Step 3: Connect the MCP Server to Perplexity Desktop
- Download the Perplexity Desktop application for macOS and sign in with your Pro or Premium account
- 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
- After restarting, return to Settings > Connectors and click Add Connector
- Select the Simple tab and assign a name for the connector (e.g., "CData Databricks MCP").
In the Command box, enter the absolute path to your MCP Server executable.
For example:
/Applications/CData MCP Server for Databricks.app/Contents/Payload/jre/Contents/Home/bin/java \ -jar /Applications/CData MCP Server for Databricks.app/Contents/Payload/lib/cdata.mcp.databricks.jar \ cdata_databricks
- Click Save.
Your MCP Server should now appear in the connector list with a "Running" status
Step 4: Query Your Live Databricks data in Perplexity Desktop
- Open a new chat in Perplexity Desktop.
Click the Sources toggle and enable your MCP Server
- Start asking questions about your Databricks data.
For example:
"List all the tables available in my Databricks data connection."
Connect your AI to your Databricks data today!
CData MCP Servers make it simple to connect Perplexity and other LLM clients to real-time enterprise data. Download a free, 30-day trial and join the CData Community to share insights, ask questions, and help shape the future of enterprise-ready AI.