Nano-Banana MCP Server
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": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| configure_gemini_tokenB | Configure your Gemini API token for nano-banana image generation |
| generate_imageA | Generate a NEW image from text prompt. Use this ONLY when creating a completely new image, not when modifying an existing one. |
| edit_imageB | Edit a SPECIFIC existing image file, optionally using additional reference images. Use this when you have the exact file path of an image to modify. |
| get_configuration_statusB | Check if Gemini API token is configured |
| continue_editingA | Continue editing the LAST image that was generated or edited in this session, optionally using additional reference images. Use this for iterative improvements. |
| get_last_image_infoB | Get information about the last generated/edited image in this session. |
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 6 tools
The three image actions are clearly separated by their inputs: generate_image creates new content, edit_image targets an exact file path, and continue_editing operates on the last session image. The descriptions reinforce these boundaries with explicit 'use this ONLY when' guidance, and the config check vs. config set tools are obviously distinct.
All six tools follow a consistent snake_case verb_noun pattern (get_configuration_status, configure_gemini_token, generate_image, edit_image, continue_editing, get_last_image_info). No mixed conventions or vague one-word names.
Six tools is well-scoped for an image generation/editing server: two for authentication, one for session state inspection, and three for the actual generation workflows. Each tool has a clear, non-redundant role.
The core lifecycle is covered: configure token, verify status, generate, edit by path, iterate on the last image, and inspect last image metadata. Minor gaps exist, such as listing prior images or clearing/resetting session state, but these are workarounds agents can manage.