Integrate Devin with Live NetSuite SuiteAnalytics Data Using CData Connect AI

Anusha M B
Anusha M B
Technical Marketing Engineer
Use the CData Connect AI Remote MCP Server to enable Devin, the AI software engineer, to securely access and query live NetSuite SuiteAnalytics data.

Devin is an AI software engineer from Cognition that plans, writes, and tests code in autonomous sessions. It supports the model context protocol (MCP) through its built-in MCP marketplace, allowing you to install remote MCP servers and give Devin access to external tools and live data sources.

By integrating Devin with CData Connect AI through the built-in MCP Server, Devin gains governed, real-time access to live NetSuite SuiteAnalytics data. You can list catalogs, explore schemas, and query records from NetSuite SuiteAnalytics data using natural language prompts, with all data access running securely against authorized sources.

This article explains how to configure NetSuite SuiteAnalytics connectivity in Connect AI, install the CData Connect AI MCP Server from the Devin MCP marketplace, and verify the integration by querying live NetSuite SuiteAnalytics data from a Devin session.

Step 1: Configure NetSuite SuiteAnalytics connectivity for Devin

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Adding a connection in Connect AI
  3. Select NetSuite SuiteAnalytics from the Add Connection panel
  4. Selecting data source
  5. Enter the necessary authentication properties to connect to NetSuite SuiteAnalytics.

    Prerequisites

    Before you can connect to NetSuite SuiteAnalytics, you must set up SuiteAnalytics Connect in your NetSuite account:

    1. Enable the Connect Service feature.

      1. Ensure that your Account Administrator has enabled your Account and Role with the Connect Service feature.

      2. Navigate to Setup > Company > Enable Features.

      3. Click the Analytics tab and check the SuiteAnalytics Connect box.

    2. Add the SuiteAnalytics Connect permission to an existing Role, and note the Role ID for later.

    3. Find the Settings portlet on your home page and click Set Up SuiteAnalytics Connect, then click Your Configuration to view your service host and account ID. These settings map directly to the Server and Account Id properties.

    Add the NetSuite SuiteAnalytics Connection

    1. Open the Sources page of the Connect Cloud dashboard.

    2. Click Add Connection and select NetSuite SuiteAnalytics from the list of connectors.

    3. Enter a Connection Name of your choice.

    Authenticate to NetSuite SuiteAnalytics

    Set the following required properties:

    • Server: The Service Host value you found when setting up SuiteAnalytics Connect.

    • Account Id: The Account ID value you found when setting up SuiteAnalytics Connect.

    • Role Id: The internal ID of the login role you granted the SuiteAnalytics Connect permission.

    Next, choose one of the supported authentication methods:

    Basic authentication

    • User: The username you use to authenticate to your NetSuite account.

    • Password: The password associated with that account.

    Token-based authentication

    • Consumer Key and Consumer Secret: Generated when you create your integration record in NetSuite.

    • Token Key and Token Secret: The access token and secret generated for that integration.

    After you enter your credentials, click Save & Test to validate the connection.

    Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab and update user-based permissions
  8. Updating permissions

With the NetSuite SuiteAnalytics connection configured, Devin can now connect to NetSuite SuiteAnalytics data through Connect AI.

Step 2: Install the Connect AI MCP Server in Devin

Next, install the CData Connect AI MCP Server from the Devin MCP servers list so your sessions can discover and call live data tools through Connect AI.

Note: Installing MCP servers in Devin requires the Manage MCP Servers permission. If you don't have this permission, use the Suggest option or contact your organization admin.

  1. Log into Devin and navigate to Settings and Connections, then select the MCP servers tab
  2. Search for CData Connect AI in the marketplace and select the verified listing
  3. Viewing MCP servers in Devin and searching for CData Connect AI
  4. Click Install and enable. When prompted, complete the OAuth flow to authenticate with your Connect AI account Installing the Connect AI MCP Server in Devin
  5. Once installed, confirm the Enable in sessions toggle is on and click Test tools. Devin validates the connection and lists the available Connect AI tools, such as getCatalogs, getSchemas, getTables, and queryData Verifying the Connect AI MCP tools in Devin

With the MCP server installed and enabled, the Connect AI tools are available to every Devin session in your workspace.

Step 3: Query live NetSuite SuiteAnalytics data from Devin

With the integration complete, start a Devin session and interact with live NetSuite SuiteAnalytics data through natural language prompts.

  1. From the Devin home page, start a new session
  2. In the session prompt, ask Devin to work with your Connect AI data, for example:
    • Can you list the connections in CData Connect AI
    • Show the available schemas and tables for NetSuite SuiteAnalytics
    • Query the top 5 records from a table in NetSuite SuiteAnalytics
  3. Devin calls the Connect AI MCP Server and returns live results from NetSuite SuiteAnalytics data directly in the session. You can follow the tool calls, inputs, and outputs in the Progress panel Querying live data from a Devin session

At this point, Devin communicates with the Connect AI MCP Server and retrieves live NetSuite SuiteAnalytics data through remote MCP tools directly from your sessions, whether you're exploring data, building features against it, or automating engineering tasks.

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