Integrate Cursor with Live XML Data via CData Connect AI
Cursor is an AI-powered code editor that embeds conversational and agent-style assistance alongside your development workflow. By extending Cursor with MCP (Model Context Protocol) tools, you can give its AI agents secure access to external systems such as APIs and databases.
Integrating Cursor with CData Connect AI via the built-in MCP server allows the editor's AI to query, analyze, and act on live XML data without copying data into the IDE. The result is a development experience where you can chat with your governed enterprise data directly from Cursor.
This article outlines how to configure XML connectivity in Connect AI, generate the required access token, register Connect AI's MCP Server in Cursor, and then use the AI chat pane to explore live XML data.
Step 1: Configure XML connectivity for Cursor
Connectivity to XML from Cursor is made possible through CData Connect AI's Remote MCP Server. To interact with XML data from Cursor, start by creating and configuring a XML connection in CData Connect AI.
- Log into Connect AI, click Sources, and then click Add Connection
- Select XML from the Add Connection panel
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Enter the necessary authentication properties to connect to XML.
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 Save & Test
- Navigate to the Permissions tab and update user-based permissions
Add a Personal Access Token
A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Cursor. It is best practice to create a separate PAT for each integration to maintain granular access control.
- Click the gear icon () at the top right of the Connect AI app to open Settings
- On the Settings page, go to the Access Tokens section and click Create PAT
- Give the PAT a descriptive name and click Create
- The personal access token is only visible at creation, so be sure to copy it and store it securely for future use
With the XML connection configured and a PAT generated, Cursor can now connect to XML data through Connect AI.
Step 2: Configure Connect AI in Cursor
Next, configure Cursor to use Connect AI. Cursor reads MCP configuration from an mcp.json file in the user configuration directory and exposes the registered servers under the Tools & MCP settings. Once configured, Cursor's AI chat can call the tools exposed by CData Connect AI.
- Download the Cursor desktop application and complete the sign-up flow for your account
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From the top menu, click Settings to open the settings panel
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In the left navigation, open the Tools & MCP tab and click Add Custom MCP
- Cursor opens an mcp.json file in the editor
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Add the following configuration. Make sure to base64-encode your email:PAT before inserting into the header:
{ "mcpServers": { "cdata-mcp": { "url": "https://mcp.cloud.cdata.com/mcp", "headers": { "Authorization": "Basic your_base64_encoded_email_PAT" } } } }
- Save the file
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Return to Settings and then select Tools & MCP. You can now see cdata-mcp enabled with an active indicator
Step 3: Chat with CData Connect AI from Cursor
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From the top bar, click Toggle AI Pane to open the chat window
- Test the connection by entering "List connections"
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You can also run queries like "Query XML data and list the high priority accounts"
Cursor is now fully integrated with the CData Connect AI MCP Server and can act on live XML data directly from the editor.
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