Gemini 3 Nano Banana 的MCP服务器开发设计和 国内直连方案

@server.tool()
def generate_image_nano_banana(
        model: Annotated[str, "The image generation model to use. Defaults to 'gemini-2.5-flash-image'. Supported models include 'gemini-3-pro-image-preview', 'gemini-2.5-flash-image' "] = "gemini-2.5-flash-image",
        prompt: Annotated[str, "A detailed text description for the image to be generated."] = "A detailed, cinematic image of a futuristic city.",
        image_name: Annotated[str, "The filename for the output image. Defaults to 'gemini_output_images.png'."] = "gemini_output_images.png",
        output_folder: Annotated[Optional[str], "The optional folder path where the image will be saved. If None, uses a default location."] = None,
        aspect_ratio: Annotated[str, "The aspect ratio of the generated image (e.g., '16:9', '1:1', '4:3')."] = "16:9",
        image_size: Annotated[str, "The size/resolution of the generated image (e.g., '1K', '2K')."] = "1K"
) -> Dict:

http_options = types.HttpOptions(timeout=120000)
client = genai.Client(api_key=GOOGLE_API_KEY, http_options=http_options)
## more code
            response = client.models.generate_content(
                model=model,
                contents=prompt,             
                config=types.GenerateContentConfig(
                    tools=[{"google_search": {}}],
                    image_config=types.ImageConfig(
                        aspect_ratio=aspect_ratio,
                        image_size=image_size    ## 4K 2K 1K
                    ),
                    # thinking_config=types.ThinkingConfig(thinking_level="low")
                )
            )

{
   "mcpServers": {
        "deepnlp-onekey-gemini": {
          "url": "https://agent.deepnlp.org/mcp?server_name=gemini&onekey=BETA_TEST_KEY_OCT_2025"
        },
        "deepnlp-onekey-nano-banana": {
          "url": "https://agent.deepnlp.org/mcp?server_name=gemini-nano-banana&onekey=BETA_TEST_KEY_OCT_2025"
        }
    }
}