Integrate Devin with Live HCL Domino Data Using CData Connect AI

Anusha M B
Anusha M B
Technical Marketing Engineer
Use the CData Connect AI Remote MCP Server to enable Devin, the AI software engineer, to securely access and query live HCL Domino data.

Devin is an AI software engineer from Cognition that plans, writes, and tests code in autonomous sessions. It supports the model context protocol (MCP) through its built-in MCP marketplace, allowing you to install remote MCP servers and give Devin access to external tools and live data sources.

By integrating Devin with CData Connect AI through the built-in MCP Server, Devin gains governed, real-time access to live HCL Domino data. You can list catalogs, explore schemas, and query records from HCL Domino data using natural language prompts, with all data access running securely against authorized sources.

This article explains how to configure HCL Domino connectivity in Connect AI, install the CData Connect AI MCP Server from the Devin MCP marketplace, and verify the integration by querying live HCL Domino data from a Devin session.

Step 1: Configure HCL Domino connectivity for Devin

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Adding a connection in Connect AI
  3. Select HCL Domino from the Add Connection panel
  4. Selecting 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.

    Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab and update user-based permissions
  8. Updating permissions

With the HCL Domino connection configured, Devin can now connect to HCL Domino data through Connect AI.

Step 2: Install the Connect AI MCP Server in Devin

Next, install the CData Connect AI MCP Server from the Devin MCP servers list so your sessions can discover and call live data tools through Connect AI.

Note: Installing MCP servers in Devin requires the Manage MCP Servers permission. If you don't have this permission, use the Suggest option or contact your organization admin.

  1. Log into Devin and navigate to Settings and Connections, then select the MCP servers tab
  2. Search for CData Connect AI in the marketplace and select the verified listing
  3. Viewing MCP servers in Devin and searching for CData Connect AI
  4. Click Install and enable. When prompted, complete the OAuth flow to authenticate with your Connect AI account Installing the Connect AI MCP Server in Devin
  5. Once installed, confirm the Enable in sessions toggle is on and click Test tools. Devin validates the connection and lists the available Connect AI tools, such as getCatalogs, getSchemas, getTables, and queryData Verifying the Connect AI MCP tools in Devin

With the MCP server installed and enabled, the Connect AI tools are available to every Devin session in your workspace.

Step 3: Query live HCL Domino data from Devin

With the integration complete, start a Devin session and interact with live HCL Domino data through natural language prompts.

  1. From the Devin home page, start a new session
  2. In the session prompt, ask Devin to work with your Connect AI data, for example:
    • Can you list the connections in CData Connect AI
    • Show the available schemas and tables for HCL Domino
    • Query the top 5 records from a table in HCL Domino
  3. Devin calls the Connect AI MCP Server and returns live results from HCL Domino data directly in the session. You can follow the tool calls, inputs, and outputs in the Progress panel Querying live data from a Devin session

At this point, Devin communicates with the Connect AI MCP Server and retrieves live HCL Domino data through remote MCP tools directly from your sessions, whether you're exploring data, building features against it, or automating engineering tasks.

Get started with CData Connect AI

To access hundreds of SaaS, big data, and NoSQL sources directly from your cloud applications, try CData Connect AI today. Download a free 14-day trial of CData Connect AI, and our Support Team is available to help with any questions you have.

Ready to get started?

Learn more about CData Connect AI or sign up for free trial access:

Free Trial