How to Connect SAP Ariba Source Data to Gemini Enterprise via CData Connect AI
Gemini Enterprise is Google's enterprise AI assistant, available as part of Google Workspace. With native support for Custom MCP Server data stores, Gemini Enterprise can be extended to query and act on live enterprise data via the Model Context Protocol (MCP). When combined with CData Connect AI Remote MCP, Gemini Enterprise can interact with SAP Ariba Source data in real time using natural language — without data replication or custom integration logic.
CData Connect AI offers a dedicated cloud-to-cloud interface for connecting to SAP Ariba Source data via a single managed MCP endpoint. The CData Connect AI Remote MCP Server enables secure communication between Gemini Enterprise and SAP Ariba Source, allowing users to ask questions and take actions on live SAP Ariba Source data through natural language prompts.
This article explains how to connect Gemini Enterprise to live SAP Ariba Source data through CData Connect AI by creating a Custom MCP Server data store — giving users access to SAP Ariba Source data directly from the Gemini Enterprise chat interface.
Prerequisites
- A CData Connect AI account with at least one active connection (e.g., SAP Ariba Source)
- A Gemini Enterprise account (trial available)
- A Google Cloud project with billing enabled
- The Google Cloud CLI installed and configured
- In your Google Cloud account:
- Override the organization policy for Custom MCP data stores (learn more).
- Grant the Discovery Engine Editor role to the administrator (learn more).
Step 1: Configure SAP Ariba Source connectivity for Gemini Enterprise
Connectivity to SAP Ariba Source from Gemini Enterprise is made possible through CData Connect AI Remote MCP. To interact with SAP Ariba Source data from Gemini Enterprise, start by creating and configuring a SAP Ariba Source connection in CData Connect AI.
- Log into Connect AI, click Sources, and then click Add Connection
- Select "SAP Ariba Source" from the Add Connection panel
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Enter the necessary authentication properties to connect to SAP Ariba Source.
In order to connect with SAP Ariba Source, set the following:
- API: Specify which API you would like the provider to retrieve SAP Ariba data from. Select the Supplier, Sourcing Project Management, or Contract API based on your business role (possible values are SupplierDataAPIWithPaginationV4, SourcingProjectManagementAPIV2, or ContractAPIV1).
- DataCenter: The data center where your account's data is hosted.
- Realm: The name of the site you want to access.
- Environment: Indicate whether you are connecting to a test or production environment (possible values are TEST or PRODUCTION).
If you are connecting to the Supplier Data API or the Contract API, additionally set the following:
- User: Id of the user on whose behalf API calls are invoked.
- PasswordAdapter: The password associated with the authenticating User.
If you're connecting to the Supplier API, set ProjectId to the Id of the sourcing project you want to retrieve data from.
Authenticating with OAuth
After setting connection properties, you need to configure OAuth connectivity to authenticate.
- Set AuthScheme to OAuthClient.
- Register an application with the service to obtain the APIKey, OAuthClientId and OAuthClientSecret.
For more information on creating an OAuth application, refer to the Help documentation.
Automatic OAuth
After setting the following, you are ready to connect:
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APIKey: The Application key in your app settings.
OAuthClientId: The OAuth Client Id in your app settings.
OAuthClientSecret: The OAuth Secret in your app settings.
When you connect, the provider automatically completes the OAuth process:
- The provider obtains an access token from SAP Ariba and uses it to request data.
- The provider refreshes the access token automatically when it expires.
- The OAuth values are saved in memory relative to the location specified in OAuthSettingsLocation.
- Click Save & Test
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Navigate to the Permissions tab in the Add SAP Ariba Source Connection page and update the User-based permissions.
Create an OAuth App in CData Connect AI
Gemini Enterprise uses OAuth 2.0 Authorization Code with PKCE to authenticate users against the CData Connect AI MCP Server. This requires creating a user-based OAuth App in your CData Connect AI account.
- Click the Gear icon () in the top-right corner of Connect AI to open Settings.
- Navigate to OAuth Apps and click + Create App. The Create OAuth App dialog appears.
- Enter the following settings:
- Name — Enter a descriptive name (e.g., GeminiEnterpriseOAuth).
- Authentication Flow — Select User-based (Authorization Code).
- Callback URL — Enter https://vertexaisearch.cloud.google.com/oauth-redirect.
- Click Confirm. CData Connect AI creates the OAuth App and generates a Client ID and Client Secret.
- Copy both the Client ID and Client Secret values. You will need them in Step 5.
With the connection configured and an OAuth App created, we are ready to create the custom MCP server data store in Gemini Enterprise.
Step 2: Create the custom MCP server data store
- Open Gemini Enterprise and navigate to the Data stores screen.
- Click Create data store.
- On the Select a data source page, enter Custom MCP Server in the Search sources field. The Custom MCP Server card displays.
- Click Add MCP server. The MCP Server Configuration page displays.
- In the Authentication settings section, enter values in the following required fields:
- MCP Server URL: https://mcp.cloud.cdata.com/mcp
- Authorization URL: https://cloud-login.cdata.com/authorize
- Token URL: https://cloud-login.cdata.com/oauth/token
- Client ID and Client Secret: From the OAuth App created in Step 1
- Click Login, and complete the sign-in.
- Click Continue, and the Advanced options section opens.
In the MCP Server Description field, enter a description that helps Gemini Enterprise understand what the server does and when to use it. For more information, see Write effective MCP server descriptions and instructions.
Click Continue.
In the Configure your data connector section, select the Location of your data connector from the Multi-region field list.
In Your data connector name, enter a name for your data store.
Click Create. Gemini Enterprise creates your data store and displays your data stores on the Data Stores page.
Note: By default, no tools or actions from your custom MCP servers are enabled. You must enable the tools or actions.
Step 3: Enable actions
After creating the custom MCP server data store, you must enable at least one tool or action before it can be used in Gemini Enterprise.
- Go to your custom MCP server data store.
Open the Actions tab and select Reload custom actions to reauthenticate.
Note: This action performs a tools/list call on the MCP server to retrieve available tools, which are then displayed on the screen.
- Select the actions to enable.
- Click Enable actions.
Step 4: Connect the MCP server data store to a Gemini Enterprise app
After creating the custom MCP server data store and enabling actions, you must connect the data store to a Gemini Enterprise app before it can be used.
- In the Google Cloud console, go to the Gemini Enterprise page.
- From the navigation menu, click Apps.
- Select the Gemini Enterprise app where you want to connect your data store.
- From the navigation menu of the app, click Connected data sources.
- Click Add existing data stores and select your data store.
- Click Connect.
Step 5: Query live SAP Ariba Source data with natural language
With the data store connected, Gemini Enterprise users can interact with live SAP Ariba Source data using natural language from the Gemini Enterprise web application. Each user authenticates with their own Connect AI credentials via the OAuth flow on first use.
- Open Gemini Enterprise, click Connections and authorize CData Connect AI.
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Ask natural language questions about your SAP Ariba Source data:
- "Show me all SAP Ariba Source data from the last 30 days"
- "What are the top records in SAP Ariba Source data by revenue?"
- "List all active SAP Ariba Source data and their current status"
- "Summarize SAP Ariba Source data activity for this quarter"
- The agent automatically discovers available connections in Connect AI, identifies the most relevant SAP Ariba Source connection, generates SQL, and returns results — all without requiring the user to write queries or understand the underlying data structure.
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