Integrate Dify with Live HCL Domino Data via CData Connect AI
Dify is an open source platform for building production-ready agentic workflows, chatbots, and other LLM applications. It includes built-in, two-way support for the model context protocol (MCP), allowing you to register remote MCP servers as tools in the platform to add external data sources and give your agents access to live data.
By integrating Dify with CData Connect AI through the built-in MCP Server, Dify 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, generate the required personal access token, register the Connect AI MCP Server as a tool in Dify, add it to an agent application, and verify the integration by querying live HCL Domino data from Dify.
Step 1: Configure HCL Domino connectivity for Dify
Connectivity to HCL Domino from Dify is made possible through Connect AI's Remote MCP Server. To interact with HCL Domino data from Dify, start by creating and configuring a HCL Domino connection in Connect AI.
- Log into Connect AI, click Sources, and then click Add Connection
- Select HCL Domino from the Add Connection panel
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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.
- Click Save & Test
- Navigate to the Permissions tab and update user-based permissions
Add a Personal Access Token
A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Dify. It is best practice to create a separate PAT for each integration to maintain granular access control.
- Click the gear icon () at the top right of the Connect AI app to open Settings
- On the Settings page, go to the Access Tokens section and click Create PAT
- Give the PAT a descriptive name and click Create
- Copy the token when displayed and store it securely. It will not be shown again
With the HCL Domino connection configured and a PAT generated, Dify can now connect to HCL Domino data through Connect AI.
Step 2: Register the Connect AI MCP Server in Dify
Next, register the Connect AI Remote MCP Server as a tool in Dify so your agents and workflows can discover and call live data tools through Connect AI.
- Log into Dify, or open your self-hosted Dify instance (version 1.6.0 or later, which includes built-in MCP support)
- Navigate to the Integrations page, select Tools and click MCP tab
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Click Add MCP Server (HTTP) and enter the following details:
- Server URL: https://mcp.cloud.cdata.com/mcp
- Name Icon: Give a descriptive name, for example, CData Connect AI
- Server Identifier: A unique identifier, for example, cdata-connect-ai
- Headers: Add an Authorization header with the value Basic your_base64_encoded_email_PAT
Note: Dify will use Basic authentication with Connect AI. Combine your Connect AI user email and the PAT you created earlier in the format email:PAT, base64 encode the combined string, and prefix it with Basic.
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Click Add & Authorize. Dify connects to the Connect AI MCP Server and lists the available tools
With the MCP server registered, the Connect AI tools are available to any agent application or workflow in your Dify workspace.
Step 3: Query live HCL Domino data from Dify
With the integration complete, build an agent application in Dify and interact with live HCL Domino data through natural language prompts.
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From the Dify Studio page, click Create from Blank and select Agent as the application type
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In the agent configuration, click Add under the Tools section and select the Connect AI MCP tools registered in Step 2
- Select an LLM provider and model for the agent so it can interpret prompts and call MCP tools
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In the preview panel, type a prompt in the chat input, for example:
- Use the cdata-connect-ai tools to list all available catalogs
- Show the available schemas and tables for HCL Domino
- Query the top 5 records from a table in HCL Domino
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The Dify agent calls the Connect AI MCP Server and returns live results from HCL Domino data
At this point, Dify communicates with the Connect AI MCP Server and retrieves live HCL Domino data through remote MCP tools directly from your agentic workflows.
Get started with CData Connect AI
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