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

Step 1: Download and install CData Code Assist MCP for YouTube Analytics

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

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 YouTube Analytics

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

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

   YouTube Analytics uses the OAuth authentication standard. You can use the embedded CData OAuth credentials or you can register an application with Google to obtain your own.

   In addition to the OAuth values, to access YouTube Analytics data set ChannelId to the Id of a YouTube channel. You can obtain the channel Id in the advanced account settings for your channel. If not specified, the channel of the currently authenticated user will be used.

   If you want to generate content owner reports, specify the ContentOwnerId property. This is the Id of the copyright holder for content in YouTube's rights management system. The content owner is the person or organization that claims videos and sets their monetization policy.

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

   For example:

   	/Applications/CData Code Assist MCP for YouTube Analytics.app/Contents/Payload/jre/Contents/Home/bin/java \
   	-jar /Applications/CData Code Assist MCP for YouTube Analytics.app/Contents/Payload/lib/cdata.mcp.youtubeanalytics.jar \
   	cdata_youtubeanalytics
   

   👁 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 YouTube Analytics 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 YouTube Analytics data. For example:

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