nano-banana
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GEMINI_API_KEY | No | Gemini API key from Google AI Studio | |
| GOOGLE_API_KEY | No | Alternative Google API key (also supported) | |
| IMAGE_OUTPUT_DIR | No | Optional directory for saving generated images | |
| GEMINI_IMAGE_MODEL | No | Optional model override (default: gemini-2.5-flash-image) |
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_imageA | Generate an image from a text prompt using Google Gemini and save the JPEG to disk. |
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 1 tool
Only one tool exists, so there is no possibility of confusing it with other tools. Its purpose is clearly defined.
With a single tool, the naming is inherently consistent and follows a clear verb_noun pattern (generate_image).
A single tool feels thin for a server, but it may be appropriate if the server's entire purpose is image generation. Still, it is borderline and likely lacks broader functionality.
The tool provides the core image generation capability with no obvious dead ends, though a more complete surface might include options like output path or resolution controls. Minor gaps exist but are workable.