How to Connect to Live GitLab 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 GitLab data in real-time through natural language queries. This article outlines the process of connecting to GitLab using Connect AI Remote MCP and configuring Gemini CLI to interact with your GitLab data.

CData Connect AI offers a dedicated cloud-to-cloud interface for connecting to GitLab data. The CData Connect AI Remote MCP Server enables secure communication between Gemini CLI and GitLab. This allows you to ask questions and take actions on your GitLab 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 GitLab. This leverages server-side processing to swiftly deliver the requested GitLab 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 GitLab data, plus hundreds of other sources.

Step 1: Configure GitLab Connectivity for Gemini CLI

Connectivity to GitLab from Gemini CLI is made possible through CData Connect AI Remote MCP. To interact with GitLab data from Gemini CLI, we start by creating and configuring a GitLab connection in CData Connect AI.

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select "GitLab" from the Add Connection panel

3. Enter the necessary authentication properties to connect to GitLab.

   To connect to GitLab, use either OAuth or a personal access token:

   Using OAuth

   Register an OAuth application in GitLab under Edit Profile > Applications (or group Settings > Applications). Set the Redirect URI to https://oauth.cdata.com/oauth/. Note the Application ID (OAuth Client Id) and Secret (shown once). Then set:

   • OAuth Client Id: The Application ID from your GitLab OAuth application.
   • OAuth Client Secret: The Secret from your GitLab OAuth application.

   Click Sign In to complete OAuth authentication.

   Using a Personal Access Token

   In GitLab, navigate to Edit Profile > Access Tokens > Add new token. Select the required scopes (such as api, read_api, read_user, read_repository) and set an expiration date. Copy the token immediately (shown only once). Then set:

   • API Key: The personal access token from your GitLab account.
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add GitLab 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.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create.
4. 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 GitLab 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:

1. Ensure Gemini CLI is installed on your system. If not, install it using npm:

   npm install -g @google-gemini/cli

2. 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
3. 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..."

4. Save the settings file. Gemini CLI will now use the CData Connect AI MCP Server for data operations.

Step 3: Query Live GitLab Data with Natural Language

With Gemini CLI configured and connected to CData Connect AI, you can now interact with your GitLab data using natural language queries. The MCP integration allows you to ask questions and receive responses from the GitLab data source in real-time.

Start using Gemini CLI to explore your data:

1. Open your terminal and start a Gemini CLI session:

   gemini

2. You can now use natural language to query your GitLab 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"
3. Gemini CLI will automatically translate your natural language queries into appropriate SQL queries and execute them against your GitLab 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 GitLab data without writing complex SQL queries or needing deep technical knowledge of the underlying data structure.

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