NanoBananaMCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| LOG_LEVEL | No | Logging level | INFO |
| ACEDATACLOUD_API_TOKEN | Yes | API token from AceDataCloud | |
| ACEDATACLOUD_API_BASE_URL | No | API base URL | https://api.acedata.cloud |
| NANOBANANA_REQUEST_TIMEOUT | No | Request timeout in seconds | 180 |
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| nanobanana_generate_imageA | Generate an AI image from a text prompt using Google's Nano Banana model. |
| nanobanana_edit_imageA | Edit or combine images using AI based on a text prompt. |
| nanobanana_get_taskA | Query the status and result of an image generation or edit task. |
| nanobanana_get_tasks_batchA | Query multiple image generation/edit tasks at once. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| nanobanana_image_generation_guide | Guide for choosing the right NanoBanana tool for image tasks. |
| nanobanana_prompt_writing_guide | Guide for writing effective image generation prompts. |
| nanobanana_workflow_examples | Common workflow examples for NanoBanana image generation. |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose with no overlap: generate_image creates new images from prompts, edit_image modifies or combines existing images, get_task retrieves single task results, and get_tasks_batch retrieves multiple task results. The descriptions reinforce these distinct roles, making tool selection unambiguous.
All tools follow a consistent snake_case pattern with the prefix 'nanobanana_' followed by a clear verb_noun combination (edit_image, generate_image, get_task, get_tasks_batch). The naming convention is perfectly uniform across all four tools, making them predictable and easy to understand.
Four tools is well-scoped for an image generation/editing server, covering core operations: generation, editing, and status retrieval (both single and batch). Each tool earns its place without redundancy, providing a complete yet manageable surface for the domain.
The tool set covers the essential lifecycle of image tasks: create (generate_image), modify (edit_image), and retrieve results (get_task and get_tasks_batch). A minor gap exists in lacking explicit deletion or management tools for tasks, but agents can work around this as the core workflows are fully supported.