Integrating Gumloop with Excel Online 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 Excel Online 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 Excel Online connectivity in Connect AI, register the MCP server in Gumloop, and build a workflow that queries Excel Online data.
Step 1: Configure Excel Online Connectivity for Gumloop
Connectivity to Excel Online from Gumloop is made possible through CData Connect AI's Remote MCP Server. To interact with Excel Online data from Gumloop, we start by creating and configuring a Excel Online connection in CData Connect AI.
- Log into Connect AI, click Sources, and then click Add Connection
- Select "Excel Online" from the Add Connection panel
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Enter the necessary authentication properties to connect to Excel Online.
You can connect to a workbook by providing authentication to Excel Online and then setting the following properties:
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Workbook: Set this to the name or Id of the workbook.
If you want to view a list of information about the available workbooks, execute a query to the Workbooks view after you authenticate.
- UseSandbox: Set this to true if you are connecting to a workbook in a sandbox account. Otherwise, leave this blank to connect to a production account.
You use the OAuth authentication standard to authenticate to Excel Online. See the Getting Started section in the help documentation for a guide. Getting Started also guides you through executing SQL to worksheets and ranges.
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- Click Save & Test
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Navigate to the Permissions tab in the Add Excel Online 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 Excel Online connection configured and a PAT generated, Gumloop is prepared to connect to Excel Online 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 Excel Online-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 Excel Online 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 Excel Online 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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