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

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

Getting Started

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

1. To begin, download the CData Code Assist MCP for Elasticsearch
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 Elasticsearch.

Step 2: Configure the connection to Elasticsearch

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

   NOTE: If the wizard does not open automatically, search for "CData Code Assist MCP for Elasticsearch" 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_elasticsearch") and click OK

4. Enter the appropriate connection properties in the configuration wizard

   Set the Server and Port connection properties to connect. To authenticate, set the User and Password properties, PKI (public key infrastructure) properties, or both. To use PKI, set the SSLClientCert, SSLClientCertType, SSLClientCertSubject, and SSLClientCertPassword properties.

   The data provider uses X-Pack Security for TLS/SSL and authentication. To connect over TLS/SSL, prefix the Server value with 'https://'. Note: TLS/SSL and client authentication must be enabled on X-Pack to use PKI.

   Once the data provider is connected, X-Pack will then perform user authentication and grant role permissions based on the realms you have configured.

   
5. Click Connect to authenticate with Elasticsearch
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

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 Code Assist MCP for Elasticsearch/lib/cdata.mcp.elasticsearch.jar",
        "cdata_elasticsearch"
      ]
    }
  }
}



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_elasticsearch").

Option 2: Copy the MCP configuration from the CData Code Assist MCP for Elasticsearch 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
4. The Code Assist MCP add-on should appear as Running under Installed MCP Servers

Step 4: Query live Elasticsearch data in Cursor

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

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

   

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

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