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mrn-gemini-imagen-mcp

npm version License: MIT

MCP (Model Context Protocol) server for generating and editing images using Google Gemini API.

Quick Start

  1. Get your API key from Google AI Studio

  2. Add to Claude Desktop config:

{
  "mcpServers": {
    "gemini-imagen": {
      "command": "npx",
      "args": ["-y", "mrn-gemini-imagen-mcp"],
      "env": { "GEMINI_API_KEY": "your-api-key-here" }
    }
  }
}
  1. Restart Claude Desktop and start generating images!

Related MCP server: Gemini Gen MCP

Features

  • Text-to-Image Generation: Generate images from text descriptions

  • Image Editing: Modify existing images based on text prompts

  • Multi-turn Iteration: Refine images through conversational editing sessions

  • Configurable Aspect Ratios: Support for 10 different aspect ratios

  • Flexible Model Selection: Use any Gemini image model via configuration

Prerequisites

Installation

No installation needed! Just configure Claude Desktop or Claude Code to use it directly via npx.

Option 2: Global Install

npm install -g mrn-gemini-imagen-mcp

Option 3: From Source

git clone https://github.com/mernorthzide/mrn-gemini-imagen-mcp.git
cd mrn-gemini-imagen-mcp
npm install
npm run build

Configuration

Set the following environment variables:

Variable

Required

Default

Description

GEMINI_API_KEY

Yes

-

Your Google Gemini API key

GEMINI_MODEL

No

gemini-3-pro-image-preview

Gemini model to use

GEMINI_OUTPUT_DIR

No

./generated_images

Output directory for images

Supported Models

  • gemini-3-pro-image-preview (default, latest)

  • gemini-2.5-flash-image (stable, faster)

Supported Aspect Ratios

1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9

Note: Aspect ratio is optional. If not specified, Gemini will automatically select the best aspect ratio based on your prompt.

Usage with Claude Desktop

Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "gemini-imagen": {
      "command": "npx",
      "args": ["-y", "mrn-gemini-imagen-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-api-key-here"
      }
    }
  }
}

Using Global Install

{
  "mcpServers": {
    "gemini-imagen": {
      "command": "mrn-gemini-imagen-mcp",
      "env": {
        "GEMINI_API_KEY": "your-api-key-here"
      }
    }
  }
}

Usage with Claude Code

Add to your Claude Code settings file (~/.claude.json):

{
  "mcpServers": {
    "gemini-imagen": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "mrn-gemini-imagen-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-api-key-here"
      }
    }
  }
}

Tip: Set GEMINI_MODEL to gemini-2.5-flash-image for faster generation.

Tools

1. generate_image

Generate an image from a text description.

Parameters:

Parameter

Type

Required

Description

prompt

string

Yes

Description of the image to generate

aspectRatio

string

No

Aspect ratio (auto-selected by Gemini if not provided)

outputPath

string

No

Custom output file path

Example:

{
  "prompt": "A serene Japanese garden with a koi pond and cherry blossoms",
  "aspectRatio": "16:9"
}

Response:

{
  "success": true,
  "filePath": "/path/to/a_serene_japanese_garden_1705123456789.png",
  "message": "Image generated successfully"
}

2. edit_image

Edit an existing image based on a text prompt.

Parameters:

Parameter

Type

Required

Description

imagePath

string

Yes

Path to the image to edit

prompt

string

Yes

Instructions for editing

aspectRatio

string

No

Aspect ratio for output

outputPath

string

No

Custom output file path

Example:

{
  "imagePath": "/path/to/original.png",
  "prompt": "Change the sky to a beautiful sunset with orange and pink colors"
}

3. iterate_image

Iteratively refine an image through multi-turn conversation.

Parameters:

Parameter

Type

Required

Description

prompt

string

Yes

Instructions for this iteration

sessionId

string

No

Session ID from previous iteration

imagePath

string

Conditional

Required when starting new session

aspectRatio

string

No

Aspect ratio for output

Starting a new session:

{
  "imagePath": "/path/to/original.png",
  "prompt": "Add a rainbow in the background"
}

Response:

{
  "success": true,
  "filePath": "/path/to/add_a_rainbow_1705123456789.png",
  "sessionId": "550e8400-e29b-41d4-a716-446655440000",
  "message": "Image iteration completed. Use the same sessionId to continue editing."
}

Continuing the session:

{
  "sessionId": "550e8400-e29b-41d4-a716-446655440000",
  "prompt": "Make the rainbow more vibrant and add some birds"
}

Error Handling

All tools return structured error responses when something goes wrong:

{
  "success": false,
  "error": {
    "code": "SAFETY_BLOCKED",
    "message": "Content was blocked by safety filters",
    "reason": "HARM_CATEGORY_DANGEROUS_CONTENT"
  }
}

Error Codes:

Code

Description

SAFETY_BLOCKED

Content blocked by safety filters

API_ERROR

Error from Gemini API

INVALID_INPUT

Invalid input parameters

FILE_ERROR

File read/write error

Development

# Watch mode for development
npm run dev

# Build for production
npm run build

# Run the server directly
npm start

File Structure

mrn-gemini-imagen-mcp/
├── src/
│   ├── index.ts              # MCP server entry point
│   ├── types.ts              # TypeScript types and constants
│   ├── services/
│   │   └── geminiClient.ts   # Gemini API wrapper
│   ├── tools/
│   │   ├── generateImage.ts  # Text-to-image tool
│   │   ├── editImage.ts      # Image editing tool
│   │   └── iterateImage.ts   # Multi-turn iteration tool
│   └── utils/
│       ├── fileManager.ts    # File operations
│       └── sessionManager.ts # Session management
├── dist/                     # Compiled JavaScript
├── package.json
├── tsconfig.json
└── README.md

License

MIT

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