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mimo-3

mcp-imagenate

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mcp-imagenate

An MCP server for image generation using multiple providers: Google Gemini, OpenAI (gpt-image), and BFL FLUX.

Providers & Models

Google Gemini (Nano Banana)

Name

Model ID

Best for

nano-banana-2

gemini-3.1-flash-image-preview

Fast, high-volume generation

nano-banana-pro

gemini-3-pro-image-preview

Highest quality output

OpenAI

Name

Model ID

Best for

gpt-image-2

gpt-image-2

Latest generation, improved detail

BFL FLUX

Name

Model ID

Best for

flux-2-klein

klein-4b

Fast, lightweight generation

flux-2-pro

pro-preview

Balanced quality and speed

flux-2-max

max

Maximum quality

Related MCP server: Nano Banana MCP

Requirements

  • Node.js 18+

  • At least one provider API key

Installation

npx mcp-imagenate

Or install globally:

npm install -g mcp-imagenate

Setup

Set API keys for the providers you want to use:

# Google Gemini (at least one)
export GEMINI_API_KEY=your_key_here
# or
export NANO_BANANA_API_KEY=your_key_here

# OpenAI (at least one)
export OPENAI_API_KEY=your_key_here
# or
export GPT_IMAGE_API_KEY=your_key_here

# BFL FLUX
export BFL_API_KEY=your_key_here

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "mcp-imagenate": {
      "command": "npx",
      "args": ["mcp-imagenate"],
      "env": {
        "GEMINI_API_KEY": "your_key_here",
        "NANO_BANANA_OUTPUT_DIR": "/path/to/image/output"
      }
    }
  }
}

Environment Variables

Variable

Required

Description

GEMINI_API_KEY

*

Google AI Studio API key

NANO_BANANA_API_KEY

*

Alternative to GEMINI_API_KEY (takes precedence)

OPENAI_API_KEY

*

OpenAI API key

GPT_IMAGE_API_KEY

*

Alternative to OPENAI_API_KEY (takes precedence)

BFL_API_KEY

*

BFL FLUX API key

NANO_BANANA_OUTPUT_DIR

No

Base directory for saved images. When set, all output and input paths are sandboxed within this directory. Recommended for production.

* At least one provider API key must be set.

Tool: generate_image

Parameters

Parameter

Type

Default

Description

prompt

string (1-32,000 chars)

-

Text prompt describing the image

model

see Models above

"gpt-image-2"

Model to use (available models depend on configured API keys)

resolution

"1K" | "2K" | "4K"

"1K"

Output image resolution

aspectRatio

see below

"1:1"

Aspect ratio of the image

mode

"image" | "image_and_text"

"image"

Return image only, or image with description (Google models only)

thinking

"none" | "auto"

"auto"

Controls model thinking (Google models only)

outputDir

string

"."

Directory where images will be saved

inputImages

string[]

-

File paths of images to send alongside the prompt (Google models, and OpenAI gpt-image models via the images.edit endpoint)

Supported aspect ratios

1:1, 2:3, 3:2, 3:4, 4:3, 9:16, 16:9, 21:9

Response

Returns a JSON object:

{
  "model": "gemini-3.1-flash-image-preview",
  "savedFiles": ["/path/to/image-1.png"],
  "settings": {
    "resolution": "1K",
    "aspectRatio": "9:16",
    "mode": "image"
  },
  "description": "..."
}

description is only present when mode is "image_and_text".

Security

  • Path sandboxing: When NANO_BANANA_OUTPUT_DIR is set, both output and input image paths are sandboxed within this directory. Symlinks that resolve outside the sandbox are rejected.

  • Input validation: Input images are validated for format (PNG/JPEG/WEBP/GIF) and size (max 20 MB).

  • API key validation: The server exits immediately if no API keys are configured.

License

MIT

This server cannot be installed

A
license - permissive license
-
quality - not tested
B
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

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