Access Live MongoDB Data in Emergent via CData Connect AI

Yazhini G
Yazhini G
Technical Marketing Engineer
Leverage the CData Connect AI Remote MCP Server to enable Emergent agents to securely access and build applications with live MongoDB data through MCP integration.

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 MongoDB data. This enables agents to query, analyze, and visualize MongoDB 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 MongoDB connectivity in Connect AI, register the CData MCP Server in Emergent, and interact with live MongoDB data from Emergent.

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: Configure MongoDB connectivity for Emergent

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Select MongoDB from the Add Connection panel
  3. Enter the necessary authentication properties to connect to MongoDB.

    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.

  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 MongoDB connection configured and a PAT generated, Emergent can now connect to MongoDB 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 MongoDB 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 MongoDB data through Connect AI in any project.

Query live MongoDB data from Emergent

With the MCP server configured, start a conversation in the Emergent agent panel to interact with live MongoDB 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 MongoDB.
    • Query the top 5 records from MongoDB data.
  2. The agent calls the CData Connect AI MCP Server and returns live results from MongoDB 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 MongoDB 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 MongoDB 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 MongoDB 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.

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