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GitHub Copilot is an AI-powered coding assistant that integrates directly into Visual Studio Code and other IDEs. With support for MCP, GitHub Copilot can connect to local tools and enterprise data sources, enabling natural language interaction with live systems during development.
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.
In this article, we guide you through installing the CData Code Assist MCP for Adobe Experience Manager, configuring the connection to Adobe Experience Manager, connecting the Code Assist MCP add-on to GitHub Copilot, and querying live Adobe Experience Manager data from within Visual Studio Code.
When the installation is complete, you are ready to configure your Code Assist MCP add-on by connecting to Adobe Experience Manager.
NOTE: If the wizard does not open automatically, search for "CData Code Assist MCP for Adobe Experience Manager" in the Windows search bar and open the application.
π Opening the CData Code Assist MCP add-on configuration wizard (Google Sheets is shown).Enter the appropriate connection properties in the configuration wizard
The driver connects to Adobe Experience Manager (AEM) instances that expose the JCR repository over WebDAV. It supports both on-premises AEM and AEM as a Cloud Service deployments.
To establish a connection, set the following properties:
Note: Tables are dynamically generated based on the JCR repository structure. Ensure that the configured user has sufficient permissions to access the required content paths in the AEM repository.
π Configuring the Code Assist MCP add-on connectionThis process creates a .mcp configuration file that GitHub Copilot 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 GitHub Copilot.
{
"servers": {
"cdata_adobeexperiencemanager": {
"command": "C:\Program Files\CData\CData Code Assist MCP for Adobe Experience Manager\jre\bin\java.exe",
"args": [
"-Dfile.encoding=UTF-8",
"-jar",
"C:\Program Files\CData\CData Code Assist MCP for Adobe Experience Manager\lib\cdata.mcp.adobeexperiencemanager.jar",
"cdata_adobeexperiencemanager"
]
}
}
}
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_adobeexperiencemanager").
"List all tables available in my Adobe Experience Manager data data connection."
π Querying live data from GitHub CopilotFor my project, data from the Content is very important. Pull data from the most important columns like Id and Name.
GitHub Copilot is now fully integrated with CData Code Assist MCP for Adobe Experience Manager and can use the MCP tools to explore schemas and execute live queries against Adobe Experience Manager.
Download Code Assist MCP for free and give your AI tools schema-aware access to live Adobe Experience Manager data during development. When you're ready to move to production, CData Adobe Experience Manager 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.
Download a free Adobe Experience Manager Code Assist MCP to get started:
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π Adobe Experience Manager IconThe CData Code Assist MCP for Adobe Experience Manager provides schema-aware context for AI-assisted code generation with live Adobe Experience Manager account data.