Integrate Dify with Live NetSuite Data via CData Connect AI

Anusha M B
Anusha M B
Technical Marketing Engineer
Use the CData Connect AI Remote MCP Server to enable Dify agents and workflows to securely access and query live NetSuite data.

Dify is an open source platform for building production-ready agentic workflows, chatbots, and other LLM applications. It includes built-in, two-way support for the model context protocol (MCP), allowing you to register remote MCP servers as tools in the platform to add external data sources and give your agents access to live data.

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

This article explains how to configure NetSuite connectivity in Connect AI, generate the required personal access token, register the Connect AI MCP Server as a tool in Dify, add it to an agent application, and verify the integration by querying live NetSuite data from Dify.

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 Dify

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

Add a Personal Access Token

A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Dify. 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, Dify can now connect to NetSuite data through Connect AI.

Step 2: Register the Connect AI MCP Server in Dify

Next, register the Connect AI Remote MCP Server as a tool in Dify so your agents and workflows can discover and call live data tools through Connect AI.

  1. Log into Dify, or open your self-hosted Dify instance (version 1.6.0 or later, which includes built-in MCP support)
  2. Navigate to the Integrations page, select Tools and click MCP tab
    3. Navigate to MCP
  3. Click Add MCP Server (HTTP) and enter the following details:
    • Server URL: https://mcp.cloud.cdata.com/mcp
    • Name Icon: Give a descriptive name, for example, CData Connect AI
    • Server Identifier: A unique identifier, for example, cdata-connect-ai
    • Headers: Add an Authorization header with the value Basic your_base64_encoded_email_PAT

    Note: Dify will use Basic authentication with Connect AI. Combine your Connect AI user email and the PAT you created earlier in the format email:PAT, base64 encode the combined string, and prefix it with Basic.

  4. Click Add & Authorize. Dify connects to the Connect AI MCP Server and lists the available tools Adding the Connect AI MCP Server in Dify

With the MCP server registered, the Connect AI tools are available to any agent application or workflow in your Dify workspace.

Step 3: Query live NetSuite data from Dify

With the integration complete, build an agent application in Dify and interact with live NetSuite data through natural language prompts.

  1. From the Dify Studio page, click Create from Blank and select Agent as the application type Viewing the Connect AI MCP tools in Dify
  2. In the agent configuration, click Add under the Tools section and select the Connect AI MCP tools registered in Step 2 Adding the Connect AI MCP tools to a Dify agent
  3. Select an LLM provider and model for the agent so it can interpret prompts and call MCP tools
  4. In the preview panel, type a prompt in the chat input, for example:
    • Use the cdata-connect-ai tools to list all available catalogs
    • Show the available schemas and tables for NetSuite
    • Query the top 5 records from a table in NetSuite
  5. The Dify agent calls the Connect AI MCP Server and returns live results from NetSuite data Querying live data from a Dify agent

At this point, Dify communicates with the Connect AI MCP Server and retrieves live NetSuite data through remote MCP tools directly from your agentic workflows.

Get started with CData Connect AI

To access hundreds of SaaS, big data, and NoSQL sources directly from your cloud applications, try CData Connect AI today. Download a free 14-day trial of CData Connect AI, and our Support Team is available to help with any questions you have.

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