Use Manus AI to Talk to Your HCL Domino Data via CData Connect AI
Manus AI is an autonomous AI agent platform that helps users accomplish complex tasks through natural language from browsing the web to executing code and interacting with external services. When combined with CData Connect AI remote MCP, users can leverage Manus AI to interact with their HCL Domino data in real-time, without any data replication.
This article explains how to connect to HCL Domino using the CData Connect AI MCP Server and configure Manus AI to conversationally explore (or Vibe Query) their HCL Domino data. With Connect AI, users can build AI agents with access to live HCL Domino data, plus hundreds of other sources.
Step 1: Configure HCL Domino connectivity for Manus AI
Connectivity to HCL Domino from Manus AI is made possible through CData Connect AI Remote MCP. To interact with HCL Domino data from Manus AI, we start by creating and configuring a HCL Domino connection in CData Connect AI.
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Log into Connect AI, click Connections and click Add Connection
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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
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Navigate to the Permissions tab in the Add HCL Domino 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 Manus AI. 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 connection configured and a PAT generated, we are ready to connect to HCL Domino data from Manus AI.
Step 2: Get started with Manus AI
Navigate to Manus and sign in to your Manus AI account. Once logged in, you are ready to configure the CData Connect AI MCP Server as a custom connector.
Step 3: Add the CData Connect AI MCP Server as a connector
Manus AI supports connecting to external MCP servers via its Connectors settings. There are two methods to add the CData Connect AI MCP Server: Import by JSON or Direct Configuration. Both methods are explained below.
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In Manus AI, click on the profile icon and navigate to Settings
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Go to the Connectors section and click Add Connectors
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Locate Custom MCP
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Click Add custom MCP to select the configuration options
Option A: Import by JSON
Use this method to quickly configure the MCP Server by pasting a JSON configuration snippet.
- Select Import by JSON from the connector setup options.
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Paste the following JSON into the configuration field, replacing the placeholder values with your Connect AI credentials:
{ "mcpServers": { "cdata-connect-ai": { "transport": "sse", "url": "https://mcp.cloud.cdata.com/mcp", "headers": { "Authorization": "Basic USER_NAME:YOUR_CONNECTAI_PAT;" } } } }Replace url with the Connect AI MCP URL, USER_NAME with your Connect AI email address, and YOUR_CONNECTAI_PAT with the Personal Access Token created in Step 1.
- Click Import to apply the configuration.
Option B: Direct Configuration
Use this method to manually enter the MCP Server connection properties through the Manus AI interface.
- Select Direct Configuration from the connector setup options.
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Fill in the following fields:
- Server Name: CData Connect AI
- Transport Type: HTTP
- Server URL: https://mcp.cloud.cdata.com/mcp
- Custom Headers: Add a header with the name Authorization and the value Basic Base64Encoded(username:pat), replacing the placeholder with your Base64-encoded Connect AI email and PAT combination.
- Optionally, enter a Note to provide Manus AI with instructions on how and when to use this MCP connector.
- Click Save to establish the connection to the CData Connect AI MCP Server. Once saved, the connector will appear as active in your Connectors list.
Step 4: Query your HCL Domino data using natural language
With the CData Connect AI MCP configured in Manus AI, users can now interact with their HCL Domino data using natural language in any new Manus AI chat session.
- Open a new chat in Manus AI.
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Start asking questions about the HCL Domino data. For example:
- Show me all customers from the last 30 days
- What are my top performing products?
- Analyze sales trends for Q4
- List all active projects with their current status
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Manus AI will use the CData Connect AI MCP Server to query your HCL Domino data in real-time and provide responses based on live data.
Get CData Connect AI
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