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URL: https://www.cdata.com/kb/tech/dataverse-cloud-gumloop.rst

⇱ Integrating Gumloop with Microsoft Dataverse Data via CData Connect AI

Integrating Gumloop with Microsoft Dataverse Data via CData Connect AI

👁 Yazhini G
Yazhini G
Technical Marketing Engineer
Leverage the CData Connect AI Remote MCP Server to enable Gumloop to securely access and act on Microsoft Dataverse data within automated workflows.

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 Microsoft Dataverse 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 Microsoft Dataverse connectivity in Connect AI, register the MCP server in Gumloop, and build a workflow that queries Microsoft Dataverse data.

About Microsoft Dataverse Data Integration

CData provides the easiest way to access and integrate live data from Microsoft Dataverse (formerly the Common Data Service). Customers use CData connectivity to:

  • Access both Dataverse Entities and Dataverse system tables to work with exactly the data they need.
  • Authenticate securely with Microsoft Dataverse in a variety of ways, including Azure Active Directory, Azure Managed Service Identity credentials, and Azure Service Principal using either a client secret or a certificate.
  • Use SQL stored procedures to manage Microsoft Dataverse entities - listing, creating, and removing associations between entities.

CData customers use our Dataverse connectivity solutions for a variety of reasons, whether they're looking to replicate their data into a data warehouse (alongside other data sources)or analyze live Dataverse data from their preferred data tools inside the Microsoft ecosystem (Power BI, Excel, etc.) or with external tools (Tableau, Looker, etc.).


Getting Started


Step 1: Configure Microsoft Dataverse Connectivity for Gumloop

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

  1. Log into Connect AI, click Sources, and then click Add Connection
    2. 👁 Adding a Connection
  2. Select "Microsoft Dataverse" from the Add Connection panel
    3. 👁 Selecting a data source
  3. Enter the necessary authentication properties to connect to Microsoft Dataverse.

    You can connect without setting any connection properties for your user credentials. Below are the minimum connection properties required to connect.

    • InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to avoid repeating the OAuth exchange and manually setting the OAuthAccessToken.
    • OrganizationUrl: Set this to the organization URL you are connecting to, such as https://myorganization.crm.dynamics.com.
    • Tenant (optional): Set this if you wish to authenticate to a different tenant than your default. This is required to work with an organization not on your default Tenant.

    When you connect the Common Data Service OAuth endpoint opens in your default browser. Log in and grant permissions. The OAuth process completes automatically.

    👁 Configuring a connection (Salesforce is shown)
  4. Click Save & Test
  5. Navigate to the Permissions tab in the Add Microsoft Dataverse Connection page and update the User-based permissions. 👁 Updating 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.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. 👁 Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the Microsoft Dataverse connection configured and a PAT generated, Gumloop is prepared to connect to Microsoft Dataverse 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.

  1. Sign in to Gumloop and create an account
  2. Visit the Gumloop Credentials page to configure MCP server
  3. Click on Add Credentials and search and select MCP Server
    4. 👁 Configuring MCP server
    👁 MCP server app
  4. Provide the following details:

The MCP server is now available to build workflows in Gumloop.

Step 3: Build a workflow and explore live Microsoft Dataverse data with Gumloop

  1. Visit Gumloop Personal workspace and click on the Create Flow
    2. 👁 Create Gumloop workflow
  2. Select the icon or press Ctrl + B to add a node or a subflow
    3. 👁 Add a node
  3. Search for Ask AI and select it
    4. 👁 Select Ask AI
  4. Click Show More Options and enable the Connect MCP Server? option
    5. 👁 Enable 'Connect MCP Server?'
  5. From the MCP Servers dropdown, choose the saved MCP credential
  6. Add a Prompt and Choose an AI Model according to your requirements
    7. 👁 Add Prompt
  7. After configuring the required details, Click Run to run the pipeline
    8. 👁 Example 1: Gumloop workflow execution
    👁 Example 2: Gumloop workflow execution

With the workflow run completed, Gumloop demonstrates successful retrieval of Microsoft Dataverse 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.

Get CData Connect AI

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect AI today!