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

⇱ Integrating Gumloop with HCL Domino Data via CData Connect AI


Integrating Gumloop with HCL Domino Data via CData Connect AI

πŸ‘ Yazhini G
Yazhini G
Technical Marketing Engineer
Leverage the CData Connect AI Remote MCP Server to enable Gumloop to securely access and act on HCL Domino 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 HCL Domino 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 HCL Domino connectivity in Connect AI, register the MCP server in Gumloop, and build a workflow that queries HCL Domino data.

Step 1: Configure HCL Domino Connectivity for Gumloop

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. πŸ‘ Adding a Connection
  3. Select "HCL Domino" from the Add Connection panel
  4. πŸ‘ Selecting a data source
  5. Enter the necessary authentication properties to connect to HCL Domino.

    Connecting to Domino

    To connect to Domino data, set the following properties:

    • URL: The host name or IP of the server hosting the Domino database. Include the port of the server hosting the Domino database. For example: http://sampleserver:1234/
    • DatabaseScope: The name of a scope in the Domino Web UI. The driver exposes forms and views for the schema governed by the specified scope. In the Domino Admin UI, select the Scopes menu in the sidebar. Set this property to the name of an existing scope.

    Authenticating with Domino

    Domino supports authenticating via login credentials or an Entra ID (formerly Azure AD) OAuth application:

    Login Credentials

    To authenticate with login credentials, set the following properties:

    • AuthScheme: Set this to "OAuthPassword"
    • User: The username of the authenticating Domino user
    • Password: The password associated with the authenticating Domino user

    The driver uses the login credentials to automatically perform an OAuth token exchange.

    EntraID (formerly AzureAD)

    This authentication method uses Entra ID (formerly Azure AD) as an IdP to obtain a JWT token. You need to create a custom OAuth application in Entra ID (formerly Azure AD) and configure it as an IdP. To do so, follow the instructions in the Help documentation. Then set the following properties:

    • AuthScheme: Set this to "EntraID (formerly AzureAD)"
    • InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to avoid repeating the OAuth exchange and manually setting the OAuthAccessToken.
    • OAuthClientId: The Client ID obtained when setting up the custom OAuth application.
    • OAuthClientSecret: The Client secret obtained when setting up the custom OAuth application.
    • CallbackURL: The redirect URI defined when you registered your app. For example: https://localhost:33333
    • AzureTenant: The Microsoft Online tenant being used to access data. Supply either a value in the form companyname.microsoft.com or the tenant ID.

      The tenant ID is the same as the directory ID shown in the Azure Portal's Entra ID (formerly Azure AD) > Properties page.

    πŸ‘ Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add HCL Domino Connection page and update the User-based permissions. πŸ‘ 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. πŸ‘ 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 HCL Domino connection configured and a PAT generated, Gumloop is prepared to connect to HCL Domino 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. πŸ‘ Configuring MCP server
    πŸ‘ MCP server app
  5. Provide the following details:

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

Step 3: Build a workflow and explore live HCL Domino data with Gumloop

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

With the workflow run completed, Gumloop demonstrates successful retrieval of HCL Domino 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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