Mcp Nano Banana

io.github.codeFiPublished by GitHub account codeFiv1.2.2Updated Oct 24, 2026

MCP server for Google Nano Banana (Gemini) image generation

VerifiedSTDIODesktop onlyMedia & DesignAI & ML

Overview

AI-generated overview

A local MCP server that lets an AI assistant generate, edit and combine images through Google Gemini Nano Banana models.

What you can do
Generate images from text prompts at chosen resolution, aspect ratio and output format, saved to a path or returned inline as base64. Edit existing images or combine up to 14 reference images from disk into one composite. Produce a complete favicon package, including icon files, a web manifest and an HTML snippet. Choose between Nano Banana Pro, Nano Banana 2 and Nano Banana Flash models, with automatic fallback to Flash on rate limits.
When to use it
Useful when you want an assistant to create or modify images while you work, such as mockups, wallpapers, social assets or favicons, without leaving the chat. Best suited to users who already have a paid Google AI Studio account and accept per-image costs.
Requirements
Runs locally over stdio, typically via npx from the npm package mcp-nano-banana, so Node.js is needed. Requires a Gemini API key supplied in the GEMINI_API_KEY environment variable and a Google Cloud project with billing enabled on a paid tier. Network access to the Google Gemini API is required.
Before you install
The GEMINI_API_KEY is a billable credential; keep it out of shared configs and version control. Image generation costs roughly $0.04 to $0.24 per image depending on model and resolution, charged to your Google account. Prompts and any reference images read from disk are sent to Google's Gemini API. The server writes image files and favicon packages to paths you specify, so check output paths before running.

Installation

In SourceWeft

  1. Open Mcp Nano Banana in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

mcp-nano-banana

MCP server for AI-powered image generation using Google Gemini Nano Banana models. Generate, edit, and combine images from text prompts — directly from your AI coding assistant.

[npm version] [license]

Features

  • Text-to-image generation — Create images from natural language descriptions
  • Image editing — Upload images and modify them with text instructions
  • Multi-image combination — Mix up to 14 reference images into one composite
  • Resolution control — Generate at 512px, 1K, 2K, or 4K resolution
  • 13+ aspect ratios — From square (1:1) to ultra-wide (21:9) and tall (1:8)
  • Auto-fallback — Pro model falls back to Flash on rate limits (429/403/402)
  • File output — Save to specific paths or return inline base64
  • Favicon generation — Generate complete favicon packages with one command
  • Multi-format output — PNG, JPEG, and WebP support

Quick Start

Prerequisites

  1. Get a Gemini API key from Google AI Studio
  2. Enable billing on your Google Cloud project — image generation requires a paid tier (~$0.04-0.05/image for NB2 at standard resolution)

Installation

bash
npm install -g mcp-nano-banana

Set your API key:

bash
export GEMINI_API_KEY=your-api-key

For MCP Registry publication metadata, the registry name is io.github.codeFi/mcp-nano-banana.

MCP Configuration

Codex

bash
codex mcp add nano-banana --env GEMINI_API_KEY=your-api-key -- npx -y mcp-nano-banana@latest

Or add manually to ~/.codex/config.toml:

toml
[mcp_servers.nano-banana]command = "npx"args = ["-y", "mcp-nano-banana@latest"]
[mcp_servers.nano-banana.env]GEMINI_API_KEY = "your-api-key"

Qwen Code

Add to ~/.qwen/settings.json:

json
{  "mcpServers": {    "nano-banana": {      "command": "npx",      "args": ["-y", "mcp-nano-banana@latest"],      "env": {        "GEMINI_API_KEY": "your-api-key"      }    }  }}

Claude Code

bash
claude mcp add nano-banana -e GEMINI_API_KEY=your-api-key -- npx -y mcp-nano-banana@latest

Or add manually to ~/.claude/claude_desktop_config.json:

json
{  "mcpServers": {    "nano-banana": {      "command": "npx",      "args": ["-y", "mcp-nano-banana@latest"],      "env": {        "GEMINI_API_KEY": "your-api-key"      }    }  }}

Other MCP Clients

For CLIs and desktop clients that use the standard mcpServers JSON format, register:

json
{  "mcpServers": {    "nano-banana": {      "command": "npx",      "args": ["-y", "mcp-nano-banana@latest"],      "env": {        "GEMINI_API_KEY": "your-api-key"      }    }  }}

Local / Development Build

bash
git clone https://github.com/codeFi/mcp-nano-banana.gitcd mcp-nano-banananpm installnpm run build

Then register with your MCP client:

json
{  "mcpServers": {    "nano-banana": {      "command": "node",      "args": ["/path/to/mcp-nano-banana/dist/index.js"],      "env": {        "GEMINI_API_KEY": "your-api-key"      }    }  }}

Models

ModelMCP NameDescriptionMax Ref Images
gemini-3-pro-image-previewNano Banana ProHigh quality, thinking mode, professional assets6 object + 5 character
gemini-3.1-flash-image-previewNano Banana 2Fast, high-efficiency, 1:4/4:1/1:8/8:1 ratios10 object + 4 character
gemini-2.5-flash-imageNano BananaFastest, optimized for high-volume tasks-

The server defaults to Nano Banana Pro for best quality and automatically falls back to Flash on rate limits.

Available Parameters

Resolution

ValueApprox. PixelsSupported Models
"512"~512pxNano Banana 2 only
"1K"~1024pxAll models
"2K"~2048pxAll models
"4K"~4096pxAll models

Default: "1K"

Aspect Ratio

ValueDimensions at 1KCommon Use Case
1:11024×1024Social posts, icons
16:91344×768Headers, presentations
9:16768×1344Stories, mobile
4:31152×896Desktop, photos
3:4896×1152Portraits
2:3~896×1344Print, magazines
3:2~1344×896Photos
4:5~896×1120Instagram posts
5:4~1120×896Instagram landscape
21:9~2048×878Ultra-wide banners
1:4~512×2048Nano Banana 2 only — tall strips
4:1~2048×512Nano Banana 2 only — wide strips
1:8~512×4096Nano Banana 2 only — extra tall
8:1~4096×512Nano Banana 2 only — extra wide

Tools

generate_image

Generate or edit images from text prompts.

ParameterTypeRequiredDefaultDescription
promptstring✅ Yes—Text description or editing instructions
imagePathsstring[]No—Reference image paths on disk (up to 14)
modelstringNogemini-3-pro-image-previewModel to use
aspectRatiostringNo1:1See table above for all options
resolutionstringNo1K512, 1K, 2K, or 4K
outputFormatstringNopngpng, jpeg, webp
outputPathstringNo—Save image to this file path
Examples

Generate from text:

json
{  "prompt": "A sunset over mountains with dramatic lighting",  "aspectRatio": "16:9",  "resolution": "2K",  "outputPath": "/Users/currentUser/Desktop/sunset.png"}

Edit an existing image:

json
{  "prompt": "Change the background to a coffee shop interior",  "imagePaths": ["/Users/currentUser/photo.jpg"],  "outputPath": "/Users/currentUser/edited.png"}

Combine multiple images:

json
{  "prompt": "Put these glasses on this person's face",  "imagePaths": ["/path/to/face.jpg", "/path/to/glasses.jpg"],  "outputPath": "/path/to/result.png"}

High-res wallpaper:

json
{  "prompt": "A futuristic cityscape at night with neon lights and rain",  "aspectRatio": "16:9",  "resolution": "4K",  "outputPath": "/path/to/wallpaper.png"}

generate_favicons

Generate a complete favicon package from a prompt or existing image.

ParameterTypeRequiredDefaultDescription
promptstringNo*—Icon description (required if imagePath not set)
imagePathstringNo*—Path to existing master icon image
modelstringNogemini-3-pro-image-previewModel for prompt generation
outputDirstringNo—Directory for individual favicon files
outputPathstringNo—Save ZIP package to this path
returnZipBase64booleanNofalseReturn ZIP as base64 text
appNamestringNoMy AppManifest name
shortNamestringNoAppManifest short_name
themeColorstringNo#ffffffManifest theme color
backgroundColorstringNo#ffffffManifest background color
includeReadmebooleanNotrueInclude README.md in package
Example
json
{  "prompt": "A minimalist banana icon with a soft gradient",  "outputDir": "/path/to/favicon",  "outputPath": "/path/to/favicon.zip",  "appName": "MyBrand",  "shortName": "Brand",  "themeColor": "#1a1a2e",  "backgroundColor": "#ffffff"}

Generated files:

  • favicon.ico — Multi-size icon (16/32/48px)
  • favicon-16x16.png — Browser tabs
  • favicon-32x32.png — Higher-res tabs
  • apple-touch-icon.png — iOS home screen
  • android-chrome-192x192.png — Android
  • android-chrome-512x512.png — Android HD
  • site.webmanifest — PWA manifest

HTML snippet (included in response):

html
<link rel="icon" href="/favicon.ico" sizes="any"><link rel="apple-touch-icon" sizes="180x180" href="/apple-touch-icon.png"><link rel="icon" type="image/png" sizes="32x32" href="/favicon-32x32.png"><link rel="icon" type="image/png" sizes="16x16" href="/favicon-16x16.png"><link rel="manifest" href="/site.webmanifest">

Pricing

Image generation requires a paid Google AI Studio account. Approximate costs:

Model1K2K4K
Nano Banana 2~$0.04~$0.08~$0.15
Nano Banana Pro~$0.06~$0.13~$0.24

You only pay for what you generate — no monthly minimum.

Supported Image Formats

Input (reference images): png, jpg, jpeg, webp, gif Output: png, jpeg, webp

Development

bash
# Build TypeScriptnpm run build
# Watch modenpm run dev
# Run testsnpm test
# Run the server directlynode dist/index.js

Troubleshooting

IssueSolution
GEMINI_API_KEY is not setExport the env var or add it to your MCP config
429 Too Many RequestsServer auto-falls back to Flash model. Add billing to your account.
403/402 Quota exceededEnable billing at Google Cloud Console
503 UnavailableHigh demand — retry in a moment. Common with 4K requests.
Image not updating after editMake sure you rebuilt the TypeScript (npm run build)
imagePaths not foundUse absolute paths. Relative paths may not resolve correctly.

Architecture

AI Assistant (MCP Client)       │  (MCP Protocol over stdio)       ▼mcp-nano-banana Server       │  (HTTPS POST)       ▼Google Gemini API       │       ▼Generated Image → saved to outputPath (or returned inline base64)

License

MIT

Author

codeFi

Source: README.md at commit 7b722eb

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.2.2LatestSep 16, 2026

Score

40% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

    Declare a license in the repository or the registry entry.