Gemini FAQs

Question 1

Can I check the status of the Gemini server?

Accepted Answer

Yes, you can use the `server_info` command within Claude to check the operational status of the Gemini MCP server and verify the availability of the Google Gemini API.

Question 2

What should I do if I get an API key error?

Accepted Answer

If you encounter an API key error, ensure that your `GEMINI_API_KEY` is correctly set and configured in the environment variables for the Gemini MCP server as per the setup instructions.

Question 3

How can I customize Gemini's responses?

Accepted Answer

You can customize responses using the `ask_gemini` command by adjusting the `temperature` (creativity 0.0-1.0), providing additional `context` for relevance, and defining a specific `persona` (e.g., 'senior architect') for Gemini to adopt.

Question 4

How do I set up Gemini to work with Claude?

Accepted Answer

Setup involves obtaining a Gemini API key from Google AI Studio and then configuring your Claude Desktop application by adding the Gemini MCP server details, including the API key, to its `claude_desktop_config.json` file.

Question 5

What is the Gemini tool?

Accepted Answer

The Gemini tool is a Model Context Protocol (MCP) server that enables seamless interaction with Google's Gemini AI models directly from your Claude Desktop application, enhancing your AI workflow.

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