Build XML-Powered Applications in GitHub Copilot with CData Code Assist MCP
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 XML, configuring the connection to XML, connecting the Code Assist MCP add-on to GitHub Copilot, and querying live XML data from within Visual Studio Code.
Prerequisites
- Visual Studio Code is installed on your machine
- GitHub Copilot Chat extension is enabled in Visual Studio Code
- CData Code Assist MCP for XML has been installed
Step 1: Download and install the CData Code Assist MCP for XML
- To begin, download the CData Code Assist MCP for XML
- Find and double-click the installer to begin the installation
- 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 XML.
Step 2: Configure the connection to XML
- After installation, open the CData Code Assist MCP for XML configuration wizard
NOTE: If the wizard does not open automatically, search for "CData Code Assist MCP for XML" in the Windows search bar and open the application.
- In MCP Configuration > Configuration Name, either select an existing configuration or choose
to create a new one
- Name the configuration (e.g. "cdata_xml") and click OK
-
Enter the appropriate connection properties in the configuration wizard
Connecting to Local or Cloud-Stored (Box, Google Drive, Amazon S3, SharePoint) XML Files
CData Drivers let you work with XML files stored locally and stored in cloud storage services like Box, Amazon S3, Google Drive, or SharePoint, right where they are.
Setting connection properties for local files
Set the URI property to local folder path.
Setting connection properties for files stored in Amazon S3
To connect to XML file(s) within Amazon S3, set the URI property to the URI of the Bucket and Folder where the intended XML files exist. In addition, at least set these properties:
- AWSAccessKey: AWS Access Key (username)
- AWSSecretKey: AWS Secret Key
Setting connection properties for files stored in Box
To connect to XML file(s) within Box, set the URI property to the URI of the folder that includes the intended XML file(s). Use the OAuth authentication method to connect to Box.
Dropbox
To connect to XML file(s) within Dropbox, set the URI proprerty to the URI of the folder that includes the intended XML file(s). Use the OAuth authentication method to connect to Dropbox. Either User Account or Service Account can be used to authenticate.
SharePoint Online (SOAP)
To connect to XML file(s) within SharePoint with SOAP Schema, set the URI proprerty to the URI of the document library that includes the intended XML file. Set User, Password, and StorageBaseURL.
SharePoint Online REST
To connect to XML file(s) within SharePoint with REST Schema, set the URI proprerty to the URI of the document library that includes the intended XML file. StorageBaseURL is optional. If not set, the driver will use the root drive. OAuth is used to authenticate.
Google Drive
To connect to XML file(s) within Google Drive, set the URI property to the URI of the folder that includes the intended XML file(s). Use the OAuth authentication method to connect and set InitiateOAuth to GETANDREFRESH.
The DataModel property is the controlling property over how your data is represented into tables and toggles the following basic configurations.
- Document (default): Model a top-level, document view of your XML data. The data provider returns nested elements as aggregates of data.
- FlattenedDocuments: Implicitly join nested documents and their parents into a single table.
- Relational: Return individual, related tables from hierarchical data. The tables contain a primary key and a foreign key that links to the parent document.
See the Modeling XML Data chapter for more information on configuring the relational representation. You will also find the sample data used in the following examples. The data includes entries for people, the cars they own, and various maintenance services performed on those cars.
- Click Connect to authenticate with XML
- Click Save & Test to finalize the connection
This 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.
Step 3: Connect the Code Assist MCP add-on to GitHub Copilot
- Download and install Visual Studio Code and enable the GitHub Copilot Chat extension
- Open or create the mcp.json file:
- For global configuration: %%APPDATA%%/Roaming/Code/User/mcp.json
- For project-specific configuration:
/.vscode/mcp.json
- Add the JSON code shown below and save the file
- After saving and testing your connection in the configuration wizard, click Next
- Select Github Copilot from the AI MCP Tool dropdown
- Follow the MCP Client Instructions to create the required configuration file
- Copy the displayed JSON code and paste it into your configuration file
Option 1: Manually add the MCP configuration
{
"servers": {
"cdata_xml": {
"command": "C:\Program Files\CData\CData Code Assist MCP for XML\jre\bin\java.exe",
"args": [
"-Dfile.encoding=UTF-8",
"-jar",
"C:\Program Files\CData\CData Code Assist MCP for XML\lib\cdata.mcp.xml.jar",
"cdata_xml"
]
}
}
}
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_xml").
Option 2: Copy the MCP configuration from the CData Code Assist MCP for XML UI
Step 4: Query live XML data in GitHub Copilot
- Launch Visual Studio Code and open the GitHub Copilot Chat interface. Select the tool icon to enable the configured Code Assist MCP add-on
- Ask questions about your XML data using natural language. For example:
"List all tables available in my XML data data connection."
- Start building with natural language prompts:
For my project, data from the people is very important. Pull data from the most important columns like [ personal.name.first ] and [ personal.name.last ].
GitHub Copilot is now fully integrated with CData Code Assist MCP for XML and can use the MCP tools to explore schemas and execute live queries against XML.
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 XML data during development. When you're ready to move to production, CData XML Drivers deliver the same SQL-based access with enterprise-grade performance, security, and reliability.
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