Access Live Lakebase Data in Emergent via CData Connect AI

Emergent is an AI-powered development platform that lets users describe what they want to build and have an autonomous agent generate full-stack web applications in real time. Agents can connect to external tools and data sources through MCP to retrieve live data and power their outputs.

By integrating Emergent with CData Connect AI through the built-in MCP (Model Context Protocol) Server, Emergent agents gain governed, real-time access to live Lakebase data. This enables agents to query, analyze, and visualize Lakebase data: either by calling MCP tools directly during a session, or by generating a full application wired to live data, all without manual data exports or custom integration code.

This article outlines the steps to configure Lakebase connectivity in Connect AI, register the CData MCP Server in Emergent, and interact with live Lakebase data from Emergent.

Step 1: Configure Lakebase connectivity for Emergent

Connectivity to Lakebase from Emergent is made possible through CData Connect AI's Remote MCP Server. To interact with Lakebase data from Emergent, start by creating and configuring a Lakebase connection in CData Connect AI.

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select Lakebase from the Add Connection panel

3. Enter the necessary authentication properties to connect to Lakebase. 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.

   
4. Click Save & Test
5. Navigate to the Permissions tab and update user-based permissions

Add a Personal Access Token

A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Emergent. It is best practice to create a separate PAT for each integration to maintain granular access control.

1. Click the gear icon () at the top right of the Connect AI app to open Settings
2. On the Settings page, go to the Access Tokens section and click Create PAT
3. Give the PAT a descriptive name and click Create

4. Copy the token when displayed and store it securely. It will not be shown again

With the Lakebase connection configured and a PAT generated, Emergent can now connect to Lakebase data through Connect AI.

Step 2: Configure Connect AI in Emergent

CData Connect AI can be integrated with Emergent in two ways depending on your account tier. Pro and Enterprise users can register the MCP Server directly in the Emergent UI, while free-tier users can describe the integration in natural language and have Emergent's agent build a connected application automatically.

Method 1: Direct MCP Configuration (Pro/Enterprise)

Pro and Enterprise users can register the CData Connect AI MCP Server directly in the Emergent UI. Once registered, agents in any project can call live Lakebase data through MCP tools without additional setup.

1. Sign in to Emergent and create an account if you do not already have one
2. Click to start a new project. Enter a Project Name and click Create Project
3. In the project chat window, select your preferred model from the dropdown (e.g., Claude 4.5 Sonnet)
4. Click the Advanced Controls icon and then click Select MCP Tools to open the MCP configuration panel
5. In the Select MCPs to use dialog, click + New MCP Server to add a custom MCP server
6. In the Configure New MCP dialog, fill in the following:
   • MCP Name: cdata-mcp
   • Description: (optional) A brief description of the server
   • JSON Configuration: Paste the following, replacing base64-encode-email-pat with your Base64-encoded email:PAT string:

   {
       "mcpServers": {
           "cdata-mcp": {
               "args": [
                   "-y",
                   "mcp-client",
                   "connect",
                   "https://mcp.cloud.cdata.com/mcp"
               ],
               "command": "npx",
               "env": {
                   "MCP_HEADERS": "{\"Authorization\":\"Basic base64-encode-email-pat\"}"
               }
           }
       }
   }
           

   Note: Combine your Connect AI email and PAT in the format email:PAT, then Base64 encode the combined string. For example, given [email protected]:ABC123...XYZ, the value becomes something like: dXNlckBteWRvbWFpbjphSzkvbVB4Mi9Rcjd2TjQ...

   
7. Click Verify and Save to register the MCP server
8. Return to Select MCP Tools and confirm that cdata-mcp is listed and its toggle is enabled. If it is not enabled, toggle it on

With the CData MCP Server registered and enabled, Emergent agents can now query and act on live Lakebase data through Connect AI in any project.

Query live Lakebase data from Emergent

With the MCP server configured, start a conversation in the Emergent agent panel to interact with live Lakebase data.

1. Return to the project chat and enter a prompt to explore your data, for example:
   • List all available catalogs in my cdata-mcp connection.
   • Show the schemas and tables available for Lakebase.
   • Query the top 5 records from Lakebase data.
2. The agent calls the CData Connect AI MCP Server and returns live results from Lakebase data

Method 2: Build an application with natural language (Free)

Free-tier users can direct Emergent to build a full-stack application that connects to the CData Connect AI MCP Server through a natural language prompt. The agent will gather the required endpoint and credentials interactively, then generate a working application wired to live Lakebase data.

1. Sign in to Emergent and open the chat window
2. Enter a prompt that describes the application you want to build. For example:

   I would like to build a small application that connects to a remote MCP HTTPS server.
   I already have the MCP endpoint URL and the required credentials.
   The application should:
     - Establish a connection to the remote MCP server
     - Authenticate using the provided credentials
     - Retrieve and list all available catalogs from the MCP
   
   Please make sure the credentials are stored securely in a .env file
   and not hardcoded in the application.
           

3. Emergent will prompt you to provide the MCP endpoint URL and authentication credentials. Supply the following values:
   • MCP Endpoint URL: https://mcp.cloud.cdata.com/mcp
   • Authorization: Basic base64(email:PAT)
4. The Emergent agent generates a full-stack application that connects to Lakebase data through Connect AI and renders live results in the App Preview panel.

At this point, Emergent has built an application that communicates with the CData Connect AI MCP Server and retrieves live Lakebase data, all from a single natural language prompt.

Get CData Connect AI

To access 300+ SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect AI today! Sign up for a free 14-day trial of CData Connect AI, and as always, our world-class Support Team is available to assist you with any questions you may have.