How to Connect to Live Cvent Data from Gemini CLI (via CData Connect AI)
Gemini CLI is a command-line interface tool that provides direct access to Google's Gemini AI models for code generation, text analysis, and conversational AI capabilities. When combined with CData Connect AI Remote MCP, you can leverage Gemini CLI to interact with your Cvent data in real-time through natural language queries. This article outlines the process of connecting to Cvent using Connect AI Remote MCP and configuring Gemini CLI to interact with your Cvent data.
CData Connect AI offers a dedicated cloud-to-cloud interface for connecting to Cvent data. The CData Connect AI Remote MCP Server enables secure communication between Gemini CLI and Cvent. This allows you to ask questions and take actions on your Cvent data using natural language through Gemini CLI, all without the need for data replication to a natively supported database. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported SQL operations, including filters and JOINs, directly to Cvent. This leverages server-side processing to swiftly deliver the requested Cvent data.
In this article, we show how to configure Gemini CLI to conversationally explore (or Vibe Query) your data using natural language. With Connect AI you can query and interact with live Cvent data, plus hundreds of other sources.
Step 1: Configure Cvent Connectivity for Gemini CLI
Connectivity to Cvent from Gemini CLI is made possible through CData Connect AI Remote MCP. To interact with Cvent data from Gemini CLI, we start by creating and configuring a Cvent connection in CData Connect AI.
- Log into Connect AI, click Sources, and then click Add Connection
- Select "Cvent" from the Add Connection panel
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Enter the necessary authentication properties to connect to Cvent.
Before you can authenticate to Cvent, you must create a workspace and an OAuth application.
Creating a Workspace
To create a workspace:
- Sign into Cvent and navigate to App Switcher (the blue button in the upper right corner of the page) >> Admin.
- In the Admin menu, navigate to Integrations >> REST API.
- A new tab launches for Developer Management. Click on Manage API Access in the new tab.
- Create a Workspace and name it. Select the scopes you would like your developers to have access to. Scopes control what data domains the developer can access.
- Choose All to allow developers to choose any scope, and any future scopes added to the REST API.
- Choose Custom to limit the scopes developers can choose for their OAuth apps to selected scopes. To access all tables exposed by the driver, you need to set the following scopes:
event/attendees:read event/attendees:write event/contacts:read event/contacts:write event/custom-fields:read event/custom-fields:write event/events:read event/events:write event/sessions:delete event/sessions:read event/sessions:write event/speakers:delete event/speakers:read event/speakers:write budget/budget-items:read budget/budget-items:write exhibitor/exhibitors:read exhibitor/exhibitors:write survey/surveys:read survey/surveys:write
Creating an OAuth Application
After you have set up a Workspace and invited them, developers can sign up and create a custom OAuth app. See the Creating a Custom OAuth Application section in the Help documentation for more information.
Connecting to Cvent
After creating an OAuth application, set the following connection properties to connect to Cvent:
- InitiateOAuth: GETANDREFRESH. Used to automatically get and refresh the OAuthAccessToken.
- OAuthClientId: The Client ID associated with the OAuth application. You can find this on the Applications page in the Cvent Developer Portal.
- OAuthClientSecret: The Client secret associated with the OAuth application. You can find this on the Applications page in the Cvent Developer Portal.
- Click Save & Test
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Navigate to the Permissions tab in the Add Cvent 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 Gemini CLI. 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 Cvent data from Gemini CLI.
Step 2: Configure Gemini CLI for CData Connect AI
Follow these steps to configure Gemini CLI to connect to CData Connect AI:
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Ensure Gemini CLI is installed on your system. If not, install it using npm:
npm install -g @google-gemini/cli
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Locate your Gemini CLI settings file. If the file doesn't exist, create it:
- Linux/Unix/Mac: ~/.gemini/settings.json
- Windows: %USERPROFILE%\.gemini\settings.json
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Add the CData Connect AI Remote MCP Server to the mcpServers object in your settings file. Replace YOUR_EMAIL and YOUR_PAT with your Connect AI email address and the PAT created previously:
{ "mcpServers": { "cdata-connect-ai": { "httpUrl": "https://mcp.cloud.cdata.com/mcp", "headers": { "Authorization": "Basic YOUR_EMAIL:YOUR_PAT" } } } }For example, if your email is [email protected] and your PAT is Uu90pt5vEO..., the Authorization header would be:"Authorization": "Basic [email protected]:Uu90pt5vEO..."
- Save the settings file. Gemini CLI will now use the CData Connect AI MCP Server for data operations.
Step 3: Query Live Cvent Data with Natural Language
With Gemini CLI configured and connected to CData Connect AI, you can now interact with your Cvent data using natural language queries. The MCP integration allows you to ask questions and receive responses from the Cvent data source in real-time.
Start using Gemini CLI to explore your data:
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Open your terminal and start a Gemini CLI session:
gemini
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You can now use natural language to query your Cvent 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"
- Gemini CLI will automatically translate your natural language queries into appropriate SQL queries and execute them against your Cvent data through the CData Connect AI MCP Server.
The combination of Gemini CLI's natural language processing capabilities and CData Connect AI's robust data connectivity enables you to explore and analyze your Cvent data without writing complex SQL queries or needing deep technical knowledge of the underlying data structure.
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