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URL: https://www.cdata.com/kb/tech/netsuite-cloud-gumloop.rst

⇱ Integrating Gumloop with NetSuite Data via CData Connect AI

Integrating Gumloop with NetSuite Data via CData Connect AI

👁 Yazhini G
Yazhini G
Technical Marketing Engineer
Leverage the CData Connect AI Remote MCP Server to enable Gumloop to securely access and act on NetSuite data within automated workflows.

Gumloop is a visual automation platform designed to create AI-powered workflows by combining triggers, AI nodes, APIs, and data connectors. By integrating Gumloop with CData Connect AI through the built-in MCP (Model Context Protocol) Server, workflows can seamlessly access and interact with live NetSuite data.

The platform provides a low-code environment, making it easier to orchestrate complex processes without heavy development effort. Its flexibility allows integration across multiple business applications, enabling end-to-end automation with live data.

This article outlines the steps required to configure NetSuite connectivity in Connect AI, register the MCP server in Gumloop, and build a workflow that queries NetSuite data.

About NetSuite Data Integration

CData provides the easiest way to access and integrate live data from Oracle NetSuite. Customers use CData connectivity to:

  • Access all editions of NetSuite, including Standard, CRM, and OneWorld.
  • Connect with all versions of the SuiteTalk API (SOAP-based) and SuiteQL, which functions like SQL, enabling easier data querying and manipulation.
  • Access predefined and custom reports through support for Saved Searches.
  • Securely authenticate with Token-based and OAuth 2.0, ensuring compatibility and security for all use cases.
  • Use SQL stored procedures to perform functional actions like uploading or downloading files, attaching or detaching records or relationships, retrieving roles, getting extra table or column info, getting job results, and more.

Customers use CData solutions to access live NetSuite data from their preferred analytics tools, Power BI and Excel. They also use CData's solutions to integrate their NetSuite data into comprehensive databases and data warehouse using CData Sync directly or leveraging CData's compatibility with other applications like Azure Data Factory. CData also helps Oracle NetSuite customers easily write apps that can pull data from and push data to NetSuite, allowing organizations to integrate data from other sources with NetSuite.

For more information about our Oracle NetSuite solutions, read our blog: Drivers in Focus Part 2: Replicating and Consolidating ... NetSuite Accounting Data.


Getting Started


Step 1: Configure NetSuite Connectivity for Gumloop

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

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

    The User and Password properties, under the Authentication section, must be set to valid NetSuite user credentials. In addition, the AccountId must be set to the ID of a company account that can be used by the specified User. The RoleId can be optionally specified to log in the user with limited permissions.

    See the "Getting Started" chapter of the help documentation for more information on connecting to NetSuite.

    👁 Configuring a connection (Salesforce is shown)
  4. Click Save & Test
  5. Navigate to the Permissions tab in the Add NetSuite Connection page and update the User-based permissions. 👁 Updating permissions

Add a Personal Access Token

A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Gumloop. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. 👁 Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the NetSuite connection configured and a PAT generated, Gumloop is prepared to connect to NetSuite data through the CData MCP server.

Step 2: Connect to the MCP server in Gumloop

The MCP server endpoint and authentication values from Connect AI must be added to Gumloop credentials.

  1. Sign in to Gumloop and create an account
  2. Visit the Gumloop Credentials page to configure MCP server
  3. Click on Add Credentials and search and select MCP Server
    4. 👁 Configuring MCP server
    👁 MCP server app
  4. Provide the following details:

The MCP server is now available to build workflows in Gumloop.

Step 3: Build a workflow and explore live NetSuite data with Gumloop

  1. Visit Gumloop Personal workspace and click on the Create Flow
    2. 👁 Create Gumloop workflow
  2. Select the icon or press Ctrl + B to add a node or a subflow
    3. 👁 Add a node
  3. Search for Ask AI and select it
    4. 👁 Select Ask AI
  4. Click Show More Options and enable the Connect MCP Server? option
    5. 👁 Enable 'Connect MCP Server?'
  5. From the MCP Servers dropdown, choose the saved MCP credential
  6. Add a Prompt and Choose an AI Model according to your requirements
    7. 👁 Add Prompt
  7. After configuring the required details, Click Run to run the pipeline
    8. 👁 Example 1: Gumloop workflow execution
    👁 Example 2: Gumloop workflow execution

With the workflow run completed, Gumloop demonstrates successful retrieval of NetSuite data through the CData Connect AI MCP server, with the MCP Client node providing the ability to ask questions, retrieve records, and perform actions on the data.

Get CData Connect AI

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect AI today!