image_to_image
Transform existing images based on a text prompt using Nanana AI. This operation typically takes 15-30 seconds to complete. The tool will wait for transformation to finish and return the final image URL.
LABSCO SUMMARY
The image arrives inside the call rather than as a job you have to chase.
Both tools wait for generation to finish before returning, which puts a call at 15-30 seconds and removes the polling loop a queue-based image API would need. What you can ask for is correspondingly narrow: a prompt, and for image_to_image a set of image URLs. There is no size, seed, model or output-format parameter, and nothing that lists or removes what was generated earlier.
What it is
An image server in front of Nanana AI, with one call that generates from text and one that transforms images you supply.
What you get
- text_to_image generates an image from a prompt and returns the final image URL.
- image_to_image transforms existing images, addressed by URL, against a prompt and returns the final image URL.
Requirements
A Nanana AI account and its token in NANANA_API_TOKEN. image_to_image takes its inputs as image URLs rather than local files.
Setup effort
One command plus a key — npm install -g @nanana-ai/mcp-server-nano-banana, then supply credentials
USE CASES
01
Getting artwork for a post without leaving the conversation
Describe the image and take the finished URL straight back, with no separate job id to poll on.
02
Restyling images you already have online
Point at the existing images by URL and describe the change; the call returns the transformed image URL once it is done.
2 tools
Counted once with only startup setup. Other versions, modes or optional credentials may expose a different list.
text_to_image
Generate an image from a text prompt using Nanana AI. This operation typically takes 15-30 seconds to complete. The tool will wait for generation to finish and return the final image URL.
BEFORE YOU INSTALL
What to know first
Tools you get
2 tools when we connected.
Requires
- npx on PATH
- NANANA_API_TOKEN in your environment
Where it runs
The documented client runs the server on your machine.
CONTEXT COST
Light Standing cost
Rated by the size of the 2 tool definitions that ride along on every turn, not by how many there are
INSTALLATION
Connect your client
Server setup
TERMINAL
npm install -g @nanana-ai/mcp-server-nano-bananaMCP Clients
Claude Desktop
CLAUDE DESKTOP · JSON
{
"mcpServers": {
"nanana": {
"command": "npx",
"args": [
"-y",
"@nanana-ai/mcp-server-nano-banana"
],
"env": {
"NANANA_API_TOKEN": "<YOUR_NANANA_API_TOKEN>"
}
}
}
}
