NanoBanana MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| NANOBANANA_MODEL | No | Default model to use (gemini-3.1-flash-image-preview or gemini-3-pro-image-preview). | |
| GOOGLE_AI_API_KEY | Yes | Google AI API key obtained 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 | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| gemini_chatA | Chat with Gemini 3.1 Flash model. Supports multi-turn conversations with up to 10 reference images. |
| gemini_generate_imageB | Generate images using Gemini's image generation capabilities. Supports session-based image consistency for maintaining style/character across multiple generations. |
| gemini_edit_imageB | Edit or modify existing images based on prompts. Supports session history references ('last' or 'history:N') and image consistency features. |
| get_image_historyA | Get the list of generated/edited images in a session for reference |
| clear_conversationB | Clear conversation history for a specific conversation ID |
| set_aspect_ratioA | Set the aspect ratio for subsequent image generation and editing in this session. Must be called before generating/editing images if a specific ratio is desired. |
| set_modelA | Set the Gemini model for this session. 'flash' for faster generation (default), 'pro' for higher quality. |
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 7 tools
Each tool has a clearly distinct purpose with no overlap: conversation management (clear_conversation), chat (gemini_chat), image generation (gemini_generate_image), image editing (gemini_edit_image), history retrieval (get_image_history), aspect ratio configuration (set_aspect_ratio), and model selection (set_model). The boundaries between tools are well-defined and unambiguous.
The naming follows a mostly consistent pattern with six tools using snake_case and clear action-object naming (clear_conversation, get_image_history, set_aspect_ratio, set_model). The three gemini_* tools deviate slightly by prefixing with 'gemini_' but maintain internal consistency. The main inconsistency is that gemini_chat doesn't follow the verb_noun pattern as strictly as others.
Seven tools is an ideal number for this Gemini interaction server, covering core functionality without bloat. Each tool serves a distinct purpose in the workflow: conversation management, chat interaction, image generation/editing, history access, and session configuration. No tool feels redundant or unnecessary for the server's scope.
The tool surface provides excellent coverage for Gemini-based chat and image workflows, including conversation management, multi-modal chat, image generation/editing, and session configuration. The only minor gap is the lack of a tool to manage multiple conversations or sessions beyond the current one, but agents can work effectively with the provided tools for most use cases.