Gemini FAQs

Question 1

What is the Google Gemini MCP Server?

Accepted Answer

It's an MCP server designed to provide easy integration and leverage Google's powerful Gemini multimodal AI models for diverse generative and analytical applications, offering access to advanced AI capabilities.

Question 2

What key features does the Gemini API offer?

Accepted Answer

The Gemini API offers text generation with up to 2M token context, multimodal analysis (images, videos, audio, PDFs), function calling for tool use, real-time response streaming, and structured JSON output generation.

Question 3

Which Gemini models are available through this API?

Accepted Answer

You can access models like `gemini-1.5-pro-latest` (2M token context), `gemini-1.5-flash-latest` (1M token context) for generation, and `text-embedding-004` for high-quality text embeddings.

Question 4

How can I integrate and start using the Gemini API?

Accepted Answer

To get started, you need a Google Cloud account or Google AI Studio access and a Gemini API key. Configure your `GEMINI_API_KEY` as an environment variable, and you can begin making requests.

Question 5

Can the Gemini API process images, videos, or PDFs?

Accepted Answer

Yes, the Gemini API excels in multimodal analysis. It can analyze various content types including images (JPEG, PNG), videos (MP4, MOV), audio (MP3, WAV), and PDF documents by sending their base64 encoded data.

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