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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 Zoho Books data in real time using natural language β without data replication or custom integration logic.
CData Connect AI offers a dedicated cloud-to-cloud interface for connecting to Zoho Books data via a single managed MCP endpoint. The CData Connect AI Remote MCP Server enables secure communication between Gemini Enterprise and Zoho Books, allowing users to ask questions and take actions on live Zoho Books data through natural language prompts.
This article explains how to connect Gemini Enterprise to live Zoho Books data through CData Connect AI by creating a Custom MCP Server data store β giving users access to Zoho Books data directly from the Gemini Enterprise chat interface.
Connectivity to Zoho Books from Gemini Enterprise is made possible through CData Connect AI Remote MCP. To interact with Zoho Books data from Gemini Enterprise, start by creating and configuring a Zoho Books connection in CData Connect AI.
Zoho Books uses the OAuth authentication standard. To authenticate using OAuth, create an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties. See the OAuth section of the Getting Started guide in the Help documentation for an authentication guide.
π Configuring a connection (Salesforce is shown)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.
With the connection configured and an OAuth App created, we are ready to create the custom MCP server data store in Gemini Enterprise.
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.
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.
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.
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.
With the data store connected, Gemini Enterprise users can interact with live Zoho Books 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.
To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from Gemini Enterprise and other AI platforms, try CData Connect AI today!
Learn more about CData Connect AI or sign up for free trial access:
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