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

⇱ How to Connect Flowise AI Agents to Live NetSuite Data via CData Connect AI

How to Connect Flowise AI Agents to Live NetSuite Data via CData Connect AI

Integrate Flowise AI with the CData Connect AI MCP Server to enable agents to securely query and act on live NetSuite data without replication.

Flowise AI is an open-source, no-code tool for building AI workflows and custom agents visually. Its drag-and-drop interface allows you to integrate large language models (LLMs) with APIs, databases, and external systems effortlessly.

CData Connect AI enables real-time connectivity to hundreds of enterprise data sources. Through its Model Context Protocol (MCP) server, CData Connect AI bridges Flowise agents with live NetSuite securely and efficiently, no data replication required. By combining Flowise AI's intuitive agent builder with CData's MCP integration, users can create agents capable of fetching, analyzing, and acting upon live NetSuite data directly within Flowise AI workflows.

This guide shows you how to connect Flowise AI to CData Connect AI MCP, set up credentials, and enable your agents to query live NetSuite data in real time.

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 Flowise

Connectivity to NetSuite from Flowise AI is made possible through CData Connect AI's Remote MCP Server. To interact with NetSuite data from Flowise AI, 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 in Connect AI
  2. Select NetSuite from the Add Connection panel
    3. 👁 Selecting 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 and update user-based permissions
    6. 👁 Updating permissions

Once the connection is established, NetSuite data is now accessible in CData Connect AI and ready to be used with MCP enabled tools.

Add a Personal Access Token

A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Flowise AI. 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. 👁 Creating a new PAT
  4. Copy the token when displayed and store it securely. It will not be shown again

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

Step 2: Configure Connect AI credentials in Flowise AI

Log in to Flowise AI workspace to set up the integration.

Add OpenAI credentials

  1. Navigate to Credentials and choose Add Credential
    2. 👁 Click Add credential
  2. Select OpenAI API from the dropdown
  3. Provide a name (e.g., OpenAI_Key) and paste the API key
    4. 👁 Adding OpenAI credentials in Flowise

Add the PAT variable

  1. Navigate to Variables and Add Variable
    2. 👁 Navigate to Variables
  2. Set Variable Name (e.g., PAT), choose Static as type, and set the Value to Base64-encoded username:PAT
  3. Click Add to save the variable
    4. 👁 Adding PAT as variable in Flowise

Step 3: Build the agent in Flowise AI

  1. Go to Agent Flows, select Add New
    2. 👁 Agent Flow page
  2. Click the "+" icon to add a new node and choose Agent and drag the agent to the workflow
    3. 👁 Adding agent node in Flowise
  3. Connect the Start node to the Agent node
    4. 👁 Connecting agent nodes in Flowise

Configure agent settings

Double-click on the Agent node and fill in the details:

  • Model: select ChatOpenAI or preferred model (e.g., gpt-4o-mini)
  • Connect Credential: Select OpenAI API key credential which was created earlier
  • Streaming: Enabled
👁 Fill in the details for Agent Node

Add the custom MCP tool

  1. Under Tools, click Add Tool and choose Custom MCP
  2. Fill in the JSON parameters as shown below:
 
{
 "url": "https://mcp.cloud.cdata.com/mcp",
 "headers": {
 "Authorization": "Basic {{$vars.PAT}}"
 }
}
👁 Configuring custom MCP tool in Flowise

Click the refresh icon to load available MCP actions. Once actions are listed, now Flowise agent is successfully connected to CData Connect AI MCP.

Step 4: Test and query live NetSuite data in Flowise

  1. Open the Chat tab in Flowise
  2. Type a query such as "Show top 10 records from NetSuite data table"
  3. Observe that responses are fetched in real time via the CData Connect AI MCP connection
    4. 👁 Testing live queries in Flowise

With the workflow run completed, Flowise demonstrates successful retrieval of Salesforce 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.

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