Build Adobe Analytics-Powered Applications in Claude Code with CData Code Assist MCP

Claude Code is an AI-powered command line tool that enables agentic coding workflows. With support for MCP, Claude Code can connect to local tools and enterprise data sources directly from your terminal, enabling natural language interaction with live systems without switching context.

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.

The following steps cover installing the CData Code Assist MCP for Adobe Analytics, configuring the connection to Adobe Analytics, connecting the Code Assist MCP add-on to Claude Code, and querying live Adobe Analytics data from within the terminal.

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

1. To begin, download the CData Code Assist MCP for Adobe Analytics
2. Find and double-click the installer to begin the installation
3. Run the installer and follow the prompts to complete the installation

When the installation is complete, you are ready to configure your Code Assist MCP add-on by connecting to Adobe Analytics.

Step 2: Configure the connection to Adobe Analytics

1. After installation, open the CData Code Assist MCP for Adobe Analytics configuration wizard

   NOTE: If the wizard does not open automatically, search for "CData Code Assist MCP for Adobe Analytics" in the Windows search bar and open the application.

   
2. In MCP Configuration > Configuration Name, either select an existing configuration or choose to create a new one
3. Name the configuration (e.g. "cdata_adobeanalytics") and click OK

4. Enter the appropriate connection properties in the configuration wizard

   Adobe Analytics uses the OAuth authentication standard. To authenticate using OAuth, create an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties. See the "Getting Started" section of the help documentation for a guide.

   Retrieving GlobalCompanyId

   GlobalCompanyId is a required connection property. If you do not know your Global Company ID, you can find it in the request URL for the users/me endpoint on the Swagger UI. After logging into the Swagger UI Url, expand the users endpoint and then click the GET users/me button. Click the Try it out and Execute buttons. Note your Global Company ID shown in the Request URL immediately preceding the users/me endpoint.

   Retrieving Report Suite Id

   Report Suite ID (RSID) is also a required connection property. In the Adobe Analytics UI, navigate to Admin -> Report Suites and you will get a list of your report suites along with their identifiers next to the name.

   After setting the GlobalCompanyId, RSID and OAuth connection properties, you are ready to connect to Adobe Analytics.

   
5. Click Connect to authenticate with Adobe Analytics
6. Then, click Save Configuration to save the Code Assist MCP add-on

This process creates a .mcp configuration file that Claude Code will reference when launching the Code Assist MCP add-on. Now with your Code Assist MCP add-on configured, you are ready to connect it to Claude Code.

Step 3: Connect the Code Assist MCP add-on to Claude Code

1. Install the Claude Code CLI using the terminal
2. Open the Claude Code configuration file at ~/.config/claude-code/config.json (or the location shown after initialization)

Option 1: Manually add the MCP configuration

1. Open the mcp.json file in your preferred editor
2. Add the code shown below

{
"mcpServers" : {
  "cdata_adobeanalytics" : {
    "type" : "stdio",
    "command" : "C:\Program Files\CData\CData Code Assist MCP for Adobe Analytics\jre\bin\java.exe",
    "args" : [ "-Dfile.encoding=UTF-8", "-jar", "C:\Program Files\CData\CData Code Assist MCP for Adobe Analytics/lib/cdata.mcp.adobeanalytics.jar", "cdata_adobeanalytics" ],  
    "env" : {}
  }
}
}

NOTE: The command value should point to your Java 17+ java.exe executable, and the JAR path should point to the installed CData Code Assist MCP add-on .jar file. The final argument must match the MCP configuration name you saved in the CData configuration wizard (e.g. "cdata_adobeanalytics").

Option 2: Copy the MCP configuration from the CData Code Assist MCP for Adobe Analytics UI

1. After saving and testing your connection in the configuration wizard, click Next

2. Select Claude Code from the AI MCP Tool dropdown

3. Click Copy JSON to copy the generated MCP configuration to your clipboard

4. Paste the copied JSON into the mcp.json file

Step 4: Verify connection in Claude Code

Claude Code provides tools to verify the connection is active before building.

1. Open a terminal and navigate to your project directory. Run the command claude mcp list
2. Check that your configuration name appears with a Connected status

3. Start Claude Code by running claude
4. Inside the Claude Code session, type /mcp to view active servers

Step 5: Query live Adobe Analytics data in Claude Code

With the connection verified, you can now use natural language prompts to query and work with live Adobe Analytics data.

1. Prompt Claude Code to review the instructions for your MCP connection to ensure it has all the appropriate context when writing code
2. Start building with natural language prompts! For example:

   For my project, data from the AdsReport is very important. Pull data from the most important columns like Page and PageViews.

Claude Code will use the MCP add-on to connect to Adobe Analytics, retrieve the requested data, and provide results directly in your terminal

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