Build SAP Business Warehouse-Powered Applications in Cursor with CData MCP Server

Cursor is an AI-powered code editor that integrates agentic AI into everyday development workflows. With support for MCP, Cursor can connect to local tools and enterprise data sources directly from the editor, 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.

In this article, we guide you through installing the CData MCP Server for SAP Business Warehouse, configuring the connection to SAP Business Warehouse, connecting the MCP Server add-on to Cursor, and querying live SAP Business Warehouse data from within the editor.

Step 1: Download and install the CData MCP Server for SAP Business Warehouse

1. To begin, download the CData MCP Server for SAP Business Warehouse 👁 Downloading the CData MCP Server add-on installer
   
2. Find and double-click the installer to begin the installation
3. Run the installer and follow the prompts to complete the installation 👁 Completing the CData MCP Server add-on installation
   

When the installation is complete, you are ready to configure your MCP Server add-on by connecting to SAP Business Warehouse.

Step 2: Configure the connection to SAP Business Warehouse

1. After installation, open the CData MCP Server for SAP Business Warehouse configuration wizard 👁 The CData MCP Server add-on configuration wizard
   

   NOTE: If the wizard does not open automatically, search for "CData MCP Server for SAP Business Warehouse" in the Windows search bar and open the application.

   👁 Opening the CData MCP Server add-on configuration wizard (Google Sheets is shown).
   
2. In MCP Configuration > Configuration Name, either select an existing configuration or choose to create a new one 👁 Creating a new configuration
   
3. Name the configuration (e.g. "cdata_sapbusinesswarehouse") and click OK 👁 Naming the configuration
   

4. Enter the appropriate connection properties in the configuration wizard

   To connect to SAP Business Warehouse, set the URL property to a valid SAP Business Warehouse server base URL. The driver must connect to SAP Business Warehouse instances hosted over HTTP with XMLA access.

   The driver supports the following authentication schemes via the AuthScheme property:

   • None: Anonymous authentication, if available on the server.
   • Basic: Set User and Password and set AuthScheme to .
   • Kerberos: See the Using Kerberos section of the help documentation for the required Kerberos properties.

   By default, the driver attempts to negotiate SSL/TLS by checking the server's certificate against the system's trusted certificate store. To specify another certificate, see the SSLServerCert property for the available formats.

   👁 Configuring the MCP Server add-on connection
   
5. Click Connect to authenticate with SAP Business Warehouse
6. Then, click Save Configuration to save the MCP Server add-on 👁 Saving the MCP Server add-on configuration
   

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

Step 3: Connect the MCP Server add-on to Cursor

1. Download the Cursor desktop application and complete the sign-up flow for your account
2. From the top menu, click Settings to open the settings panel 👁 Opening Cursor Settings
   
3. In the left navigation, open the Tools & MCP tab and click Add Custom MCP 👁 Tools & MCP tab with Add Custom MCP
   

Option 1: Manually add the MCP configuration

1. Cursor opens an mcp.json file in the editor
2. Add the code shown below and save the file

{
 "mcpServers": {
 "cdata-local": {
 "command": "C:/Program Files/Java/jdk-17/bin/java.exe",
 "args": [
 "-jar",
 "C:/Program Files/CData/CData MCP Server for SAP Business Warehouse/lib/cdata.mcp.sapbusinesswarehouse.jar",
 "cdata_sapbusinesswarehouse"
 ]
 }
 }
}

👁 Configuring the CData MCP Server add-on in Cursor


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

Option 2: Copy the MCP configuration from the CData MCP Server for SAP Business Warehouse UI

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

2. Select Cursor from the AI MCP Tool dropdown
👁 Choosing the required AI MCP tool

3. Follow the MCP Client Instructions to create the required folders for the MCP config
👁 MCP configuration instructions

4. Copy the displayed JSON code and paste it into your configuration file
5. In Cursor, open the project folder you created with the mcp.json config
4. The MCP Server add-on should appear as Running under Installed MCP Servers 👁 CData MCP Server add-on running in Cursor
   

Step 4: Query live SAP Business Warehouse data in Cursor

1. From the top bar, click Toggle AI Pane to open the chat window
2. Ask questions about your SAP Business Warehouse data using natural language. For example:

   "List all tables available in my SAP Business Warehouse data connection."

   👁 Querying live data from Cursor
   

Cursor is now fully integrated with CData MCP Server for SAP Business Warehouse and can use the MCP tools exposed to explore schemas and execute live queries against SAP Business Warehouse.

Build with MCP Server. Deploy with CData Drivers.

Download CData MCP Server for SAP Business Warehouse for free and give your AI tools schema-aware access to live SAP Business Warehouse data during development. When you're ready to move to production, CData SAP Business Warehouse 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.