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Connect AI uses OAuth authentication by default, but you can also use Basic authentication with a Personal Access Token (PAT).

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Prerequisites

Before you can configure and use Gemini with Connect AI, you must first connect a data source to your Connect AI account. See Sources for more information. (Basic authentication and Google ADK only) Generate a Personal Access Token (PAT) on the Settings page. Copy this down, as it acts as your password during authentication. You need Python >= 3.10 to use the Gemini tools.

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Connect through the Gemini Command Line Interface

After you install Gemini, create the settings file and then choose an authentication method.
1
Go to your user directory %USERPROFILE% and create a .gemini folder.
2
Within the folder, create a file named settings.json.

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OAuth Authentication

1
Copy and paste the following into the settings.json file:
{
"mcpServers": {
   "connect-ai": {
      "httpUrl": "https://mcp.cloud.cdata.com/mcp/",
      "trust": true
   }
 },
"selectedAuthType": "oauth-personal"
}
2
In the terminal, type gemini. You may need to give Google authorization to access your account.
3
Run /mcp auth connect-ai to authenticate to the Connect AI MCP server. Gemini opens your browser to the Connect AI sign-in page. Complete the sign-in to authorize the connection.

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Basic Authentication

1
Copy and paste the following into the settings.json file. Replace EMAIL with your Connect AI email and PAT with the PAT you obtained in the prerequisites:
{
"mcpServers": {
   "connect-ai": {
      "httpUrl": "https://mcp.cloud.cdata.com/mcp/",
      "headers": {
        "Authorization": "Basic EMAIL:PAT"  //Replace with your authorization header
     },
      "trust": true
   }
 },
"selectedAuthType": "oauth-personal"
}
2
In the terminal, type gemini. You may need to give Google authorization to access your account.

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Use Gemini

1
The Gemini screen appears as follows:
Gemini Home Screen
2
Enter a prompt in the prompt box to ask Gemini a question. Gemini uses the Connect AI tools such as getCatalogs, getSchemas, and getTables to retrieve data from connected data sources.
3
Gemini returns a response to your prompt.
Gemini Prompt

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Connect through the Google ADK

1
Download the folder adk-mcp-client and unzip the folder.
2
Rename .env example to .env.
3
In the .env file, replace your_email@example.com with your Connect AI email, and replace your_mcp_password_here with the PAT created in the prerequisites.
4
Run pip install -r requirements.txt in your terminal.
5
Run python -m google.adk.cli web --port 5000. This starts the ADK at port 5000 on your local machine.
6
In your web browser, open 127.0.0.1:5000. The application looks like the following:
Gemini ADK
7
Enter a prompt in the Type a Message box. Gemini uses the Connect AI tools such as getCatalogs, getSchemas, and getTables to retrieve data from connected data sources.
Gemini ADK Prompt