Build Lakebase-Powered Applications in Claude Code with CData Code Assist MCP

Claude Code is an AI-powered command line tool that enables agentic coding workflows. With support for MCP, Claude Code can connect to local tools and enterprise data sources directly from your terminal, 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.

The following steps cover installing the CData Code Assist MCP for Lakebase, configuring the connection to Lakebase, connecting the Code Assist MCP add-on to Claude Code, and querying live Lakebase data from within the terminal.

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

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

Step 2: Configure the connection to Lakebase

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

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

4. Enter the appropriate connection properties in the configuration wizard

   To connect to Databricks Lakebase, start by setting the following properties:
   • DatabricksInstance: The Databricks instance or server hostname, provided in the format instance-abcdef12-3456-7890-abcd-abcdef123456.database.cloud.databricks.com.
   • Server: The host name or IP address of the server hosting the Lakebase database.
   • Port (optional): The port of the server hosting the Lakebase database, set to 5432 by default.
   • Database (optional): The database to connect to after authenticating to the Lakebase Server, set to the authenticating user's default database by default.

   OAuth Client Authentication

   To authenicate using OAuth client credentials, you need to configure an OAuth client in your service principal. In short, you need to do the following:

   1. Create and configure a new service principal
   2. Assign permissions to the service principal
   3. Create an OAuth secret for the service principal

   For more information, refer to the Setting Up OAuthClient Authentication section in the Help documentation.

   OAuth PKCE Authentication

   To authenticate using the OAuth code type with PKCE (Proof Key for Code Exchange), set the following properties:

   • AuthScheme: OAuthPKCE.
   • User: The authenticating user's user ID.

   For more information, refer to the Help documentation.

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

This process creates a .mcp configuration file that Claude Code 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 Claude Code.

Step 3: Connect the Code Assist MCP add-on to Claude Code

1. Install the Claude Code CLI using the terminal
2. Open the Claude Code configuration file at ~/.config/claude-code/config.json (or the location shown after initialization)

Option 1: Manually add the MCP configuration

1. Open the mcp.json file in your preferred editor
2. Add the code shown below

{
"mcpServers" : {
  "cdata_lakebase" : {
    "type" : "stdio",
    "command" : "C:\Program Files\CData\CData Code Assist MCP for Lakebase\jre\bin\java.exe",
    "args" : [ "-Dfile.encoding=UTF-8", "-jar", "C:\Program Files\CData\CData Code Assist MCP for Lakebase/lib/cdata.mcp.lakebase.jar", "cdata_lakebase" ],  
    "env" : {}
  }
}
}

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_lakebase").

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

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

2. Select Claude Code from the AI MCP Tool dropdown

3. Click Copy JSON to copy the generated MCP configuration to your clipboard

4. Paste the copied JSON into the mcp.json file

Step 4: Verify connection in Claude Code

Claude Code provides tools to verify the connection is active before building.

1. Open a terminal and navigate to your project directory. Run the command claude mcp list
2. Check that your configuration name appears with a Connected status

3. Start Claude Code by running claude
4. Inside the Claude Code session, type /mcp to view active servers

Step 5: Query live Lakebase data in Claude Code

With the connection verified, you can now use natural language prompts to query and work with live Lakebase data.

1. Prompt Claude Code to review the instructions for your MCP connection to ensure it has all the appropriate context when writing code
2. Start building with natural language prompts! For example:

   For my project, data from the Orders is very important. Pull data from the most important columns like ShipName and ShipCity.

Claude Code will use the MCP add-on to connect to Lakebase, retrieve the requested data, and provide results directly in your terminal

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