nano-banana
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GEMINI_API_KEY | Yes | Your Gemini API key from Google AI Studio | |
| NANO_BANANA_OUTPUT_DIR | No | Custom output directory for generated images. Defaults to ~/Pictures/nano-banana/. | ~/Pictures/nano-banana/ |
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 using Nano Banana (Gemini). Saves the image to disk and returns the file path. Use this tool whenever the user asks to generate, create, draw, or make an image, picture, illustration, photo, artwork, or visual. |
| list_modelsB | List all available image generation models for Nano Banana. |
| set_modelC | Change the active image generation model for Nano Banana. |
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 3 tools
Each tool has a clearly distinct purpose: generate an image, list available models, and set the active model. There is no overlap or ambiguity between these operations.
All tools follow a consistent snake_case verb_noun pattern: generate_image, list_models, set_model. The convention is predictable and readable.
Three tools is well-scoped for this server's purpose. Each tool earns its place, covering generation and model management without unnecessary bloat.
The core lifecycle (generate image) and model management (list, set) are covered. A minor gap is the absence of an explicit way to query the currently active model, though list_models may implicitly indicate it.