Nano Banana
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GEMINI_API_KEY | Yes | Your Google Gemini API key from Google AI Studio |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generate_imageB | Generate images using Google Gemini models. Supports 'flash' (fast, gemini-2.0-flash-exp) and 'pro' (high quality, imagen-3.0) models. |
| list_imagesB | List generated images in the specified directory. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools have completely distinct purposes: generate_image creates new images, while list_images retrieves existing ones. There is no overlap in functionality, making it impossible for an agent to confuse them.
Both tools follow a consistent verb_noun pattern (generate_image, list_images) with clear, descriptive names. The naming convention is uniform and predictable throughout the set.
With only two tools, the server feels severely under-scoped for an image generation domain. There are obvious gaps like deleting, updating, or managing images beyond listing, making it difficult for agents to perform complete workflows.
The tool surface is highly incomplete for image generation and management. While it covers creation and listing, it lacks essential operations such as deleting images, updating metadata, or viewing detailed image properties, which will cause agent failures in many scenarios.