Build Vercel-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 API Driver for MCP Server, configuring the connection to Vercel, connecting the MCP Server add-on to Cursor, and querying live Vercel data from within the editor.

Step 1: Download and install the CData API Driver for MCP Server

1. To begin, download the CData API Driver for MCP Server 👁 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 Vercel.

Step 2: Configure the connection to Vercel

1. After installation, open the CData API Driver for MCP Server configuration wizard 👁 The CData MCP Server add-on configuration wizard
   

   NOTE: If the wizard does not open automatically, search for "CData API Driver for MCP Server" 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_api") and click OK 👁 Naming the configuration
   

4. Enter the appropriate connection properties in the configuration wizard

   Using API Key Authentication

   Vercel uses Bearer token authentication. You can use either a personal access token or an OAuth access token as the API key.

   To obtain a personal access token:

   1. Log into your Vercel account at https://vercel.com/
   2. Navigate to Account Settings > Tokens.
   3. Click Create Token, enter a name and expiration, and click Create.
   4. Copy the generated token (it will only be shown once).

   After obtaining your token, set the following connection properties:

   • AuthScheme: Set this to APIKey.
   • APIKey: Set this to your Vercel personal access token or OAuth access token.

   Example Connection String

   Profile=C:\profiles\Vercel.apip;AuthScheme=APIKey;APIKey=your_access_token;
   

   Working with Teams

   Many Vercel resources are scoped to a team. To scope all requests to a specific team, set the TeamId connection property to your team's ID. You can find your team ID by querying the Teams table or from the Vercel dashboard. Alternatively, you can specify TeamId in your SQL queries using the WHERE clause where supported.

   Connecting to Vercel

   Once the authentication is configured, you can connect to Vercel and query data from any of the available tables such as Projects, Deployments, Teams, and Domains.

   👁 Configuring the MCP Server add-on connection
   
5. Click Connect to authenticate with Vercel
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 API Driver for MCP Server/lib/cdata.mcp.api.jar",
 "cdata_api"
 ]
 }
 }
}

👁 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_api").

Option 2: Copy the MCP configuration from the CData API Driver for MCP Server 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 Vercel data in Cursor

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

   "List all tables available in my Vercel data connection."

   👁 Querying live data from Cursor
   

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

Build with MCP Server. Deploy with CData Drivers.

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