Integrating Gumloop with Sage Intacct Data via CData Connect AI
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 Sage Intacct 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 Sage Intacct connectivity in Connect AI, register the MCP server in Gumloop, and build a workflow that queries Sage Intacct data.
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 Gumloop
Connectivity to Sage Intacct from Gumloop is made possible through CData Connect AI's Remote MCP Server. To interact with Sage Intacct data from Gumloop, we start by creating and configuring a Sage Intacct connection in CData Connect AI.
- Log into Connect AI, click Sources, and then click Add Connection
- Select "Sage Intacct" from the Add Connection panel
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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.
- Click Save & Test
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Navigate to the Permissions tab in the Add Sage Intacct Connection page and update the User-based 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.
- Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
- On the Settings page, go to the Access Tokens section and click Create PAT.
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Give the PAT a name and click Create.
- The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
With the Sage Intacct connection configured and a PAT generated, Gumloop is prepared to connect to Sage Intacct 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.
- Sign in to Gumloop and create an account
- Visit the Gumloop Credentials page to configure MCP server
- Click on Add Credentials and search and select MCP Server
- Provide the following details:
- URL: https://mcp.cloud.cdata.com/mcp
- Label: A descriptive name such as Sage Intacct-mcp-server
- Access Token / API Key: leave blank
- Additional Header: Authorization: Basic YOUR EMAIL:YOUR PAT
- Save the credentials
The MCP server is now available to build workflows in Gumloop.
Step 3: Build a workflow and explore live Sage Intacct data with Gumloop
- Visit Gumloop Personal workspace and click on the Create Flow
- Select the icon or press Ctrl + B to add a node or a subflow
- Search for Ask AI and select it
- Click Show More Options and enable the Connect MCP Server? option
- From the MCP Servers dropdown, choose the saved MCP credential
- Add a Prompt and Choose an AI Model according to your requirements
- After configuring the required details, Click Run to run the pipeline
With the workflow run completed, Gumloop demonstrates successful retrieval of Sage Intacct 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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