How to Connect Flowise AI Agents to Live Sage Intacct 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 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 over 350+ enterprise data sources. Through its Model Context Protocol (MCP) server, CData Connect AI bridges Flowise agents with live Sage Intacct 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 Sage Intacct 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 Sage Intacct data in real time.

About Sage Intacct Data Integration

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

  • Access Sage Intacct without worrying about API updates or changes.
  • Access custom objects and fields in Sage Intacct with no extra configuration steps involved.
  • Write data back to Sage Intacct using embedded Web Services credentials with Basic authentication.
  • Use SQL stored procedures to perform functional operations like approving or declining vendors, inserting engagements, and creating or deleting custom objects or fields.

Users frequently integrate Sage Intact with analytics tools such as Tableau, Power BI, and Excel, and leverage our tools to replicate Workday data to databases or data warehouses.

To learn about how other customers are using CData's Sage Intacct solutions, check out our blog: Drivers in Focus: Accounting Connectivity.


Getting Started


Step 1: Configure Sage Intacct Connectivity for Flowise

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

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

    To connect using the Login method, the following connection properties are required: User, Password, CompanyId, SenderId and SenderPassword.

    User, Password, and CompanyId are the credentials for the account you wish to connect to.

    SenderId and SenderPassword are the Web Services credentials assigned to you by Sage Intacct.

  4. Click Save & Test
  5. Navigate to the Permissions tab and update user-based permissions

Once the connection is established, Sage Intacct 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. Copy the token when displayed and store it securely. It will not be shown again

With the Sage Intacct connection configured and a PAT generated, Flowise AI can now connect to Sage Intacct data through the CData MCP Server.

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. Select OpenAI API from the dropdown
  3. Provide a name (e.g., OpenAI_Key) and paste the API key

Add the PAT variable

  1. Navigate to Variables and Add Variable
  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

Step 3: Build the agent in Flowise AI

  1. Go to Agent Flows, select Add New
  2. Click the "+" icon to add a new node and choose Agent and drag the agent to the workflow
  3. Connect the Start node to the Agent node

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

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}}"
  }
}

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 Sage Intacct data in Flowise

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

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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