Build MongoDB-Powered Applications in Cursor with CData Code Assist MCP

Yazhini G
Yazhini G
Technical Marketing Engineer
Use the CData Code Assist MCP for MongoDB to explore live MongoDB Data in Cursor to assist with building MongoDB-powered applications.

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 Code Assist MCP for MongoDB, configuring the connection to MongoDB, connecting the Code Assist MCP add-on to Cursor, and querying live MongoDB data from within the editor.

About MongoDB Data Integration

Accessing and integrating live data from MongoDB has never been easier with CData. Customers rely on CData connectivity to:

MongoDB's flexibility means that it can be used as a transactional, operational, or analytical database. That means CData customers use our solutions to integrate their business data with MongoDB or integrate their MongoDB data with their data warehouse (or both). Customers also leverage our live connectivity options to analyze and report on MongoDB directly from their preferred tools, like Power BI and Tableau.

For more details on MongoDB use case and how CData enhances your MongoDB experience, check out our blog post: The Top 10 Real-World MongoDB Use Cases You Should Know in 2024.


Getting Started


Step 1: Download and install the CData Code Assist MCP for MongoDB

  1. To begin, download the CData Code Assist MCP for MongoDB
  2. Find and double-click the installer to begin the installation
  3. 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 MongoDB.

Step 2: Configure the connection to MongoDB

  1. After installation, open the CData Code Assist MCP for MongoDB configuration wizard

    NOTE: If the wizard does not open automatically, search for "CData Code Assist MCP for MongoDB" in the Windows search bar and open the application.

  2. In MCP Configuration > Configuration Name, either select an existing configuration or choose to create a new one
  3. Name the configuration (e.g. "cdata_mongodb") and click OK
  4. Enter the appropriate connection properties in the configuration wizard

    Set the Server, Database, User, and Password connection properties to connect to MongoDB. To access MongoDB collections as tables you can use automatic schema discovery or write your own schema definitions. Schemas are defined in .rsd files, which have a simple format. You can also execute free-form queries that are not tied to the schema.

  5. Click Connect to authenticate with MongoDB
  6. Then, click Save Configuration to save the Code Assist MCP add-on

This process creates a .mcp configuration file that Cursor 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 Cursor.

Step 3: Connect the Code Assist MCP 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
  3. In the left navigation, open the Tools & MCP tab and click Add Custom MCP
  4. 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
    3. {
        "mcpServers": {
          "cdata-local": {
            "command": "C:/Program Files/Java/jdk-17/bin/java.exe",
            "args": [
              "-jar",
              "C:/Program Files/CData/CData Code Assist MCP for MongoDB/lib/cdata.mcp.mongodb.jar",
              "cdata_mongodb"
            ]
          }
        }
      }
      

      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_mongodb").

    Option 2: Copy the MCP configuration from the CData Code Assist MCP for MongoDB UI

    1. After saving and testing your connection in the configuration wizard, click Next
    2. Select Cursor from the AI MCP Tool dropdown
    3. Follow the MCP Client Instructions to create the required folders for the MCP config
    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
  5. The Code Assist MCP add-on should appear as Running under Installed MCP Servers

Step 4: Query live MongoDB data in Cursor

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

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

Cursor is now fully integrated with CData Code Assist MCP for MongoDB and can use the MCP tools exposed to explore schemas and execute live queries against MongoDB.

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 MongoDB data during development. When you're ready to move to production, CData MongoDB 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.

Ready to get started?

Download a free MongoDB Code Assist MCP to get started:

 Download Now

Learn more:

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The CData Code Assist MCP for MongoDB provides schema-aware context for AI-assisted code generation with live MongoDB data.