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MCP server for image generation using multiple providers (Google Gemini, OpenAI, BFL FLUX)
MCP server for image generation using multiple providers (Google Gemini, OpenAI, BFL FLUX)
Valid MCP server (2 strong, 3 medium validity signals). 3 known CVEs in dependencies (0 critical, 2 high severity) Package registry verified. Imported from the Official MCP Registry.
11 files analyzed · 4 issues found
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Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-mimo-3-mcp-imagenate": {
"args": [
"-y",
"mcp-imagenate"
],
"command": "npx"
}
}
}From the project's GitHub README.
An MCP server for image generation using multiple providers: Google Gemini, OpenAI (gpt-image), and BFL FLUX.
| 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 |
| Name | Model ID | Best for |
|---|---|---|
gpt-image-2 | gpt-image-2 | Latest generation, improved detail |
| 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 |
npx mcp-imagenate
Or install globally:
npm install -g mcp-imagenate
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
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"
}
}
}
}
| 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.
generate_image| Parameter | Type | Default | Description |
|---|---|---|---|
prompt | string (1-32,000 chars) | - | Text prompt describing the image |
model | see Models above | "nano-banana-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) |
1:1, 2:3, 3:2, 3:4, 4:3, 9:16, 16:9, 21:9
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": "..."
}
descriptionis only present whenmodeis"image_and_text".
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.MIT
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