nano-banana-mcp
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 |
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": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generate_imageA | Generate an image with Gemini and save it to output_path. Known model values (override via
If output_path already exists, a numeric suffix is appended (foo.png -> foo-1.png) and the final path is returned. |
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 confusion between tools.
The single tool name 'generate_image' follows a clear verb_noun pattern, consistent with common conventions.
With only one tool, the server feels thin for its apparent scope (image generation), but it covers the primary action without unnecessary bloat.
The tool covers the core generation task, but lacks additional operations such as listing models, managing outputs, or deleting images, leaving minor gaps for an agent.