Qhdrl12 MCP Server Gemini Image Generator
Q

Qhdrl12 MCP Server Gemini Image Generator

An MCP server based on Google's Gemini model, providing text-to-image generation and image transformation functions, supporting high-quality image generation, smart file name generation, and local storage.
2.5 points
7.5K

What is the Gemini Image Generator MCP Server?

This is an image generation service based on Google's Gemini AI model, which provides image generation and transformation functions for AI assistants through the MCP protocol. Users can create or modify images through simple text descriptions.

How to use the Gemini Image Generator?

You can generate or modify images by sending text prompts through a supported MCP client (such as the Claude desktop application). No programming knowledge is required; simply describe the image you want.

Applicable scenarios

Suitable for scenarios that require rapid generation of concept maps, illustrations, product prototype diagrams, or modification of existing images. Particularly suitable for content creators, designers, and educators.

Main features

Text-to-image generation
Generate brand-new images based on text descriptions, supporting various styles and themes
Image transformation
Modify existing images based on text prompts, such as adding elements or changing styles
Automatic translation
Automatically translate non-English prompts into English to improve generation quality
Smart naming
Automatically generate meaningful file names based on the prompt content
Advantages
Simple operation, just describe your requirements
Support high-resolution image output
Automatically handle technical details, users don't need to care about the implementation process
Support local storage of generated images
Limitations
Some complex transformations may take a long time to process
Requires a Google API key to use
Some clients may have path resolution issues

How to use

Get an API key
Visit Google AI Studio to get a Gemini API key
Installation and configuration
Clone the repository and configure the environment variable file (.env)
Start the service
Connect to the service through an MCP client (such as Claude)
Start using
Enter image descriptions or modification instructions in the client

Usage examples

Concept art creation
Create concept art for games or stories
Product prototype design
Quickly visualize product design concepts
Image modification
Make creative modifications to existing photos

Frequently Asked Questions

Do I need programming knowledge to use it?
How long does it take to generate an image?
What image formats are supported?
What is the quality of the generated images?

Related resources

Google AI Studio
Get a Gemini API key
MCP protocol documentation
Technical documentation for the Model Context Protocol
Example code repository
Project source code and examples

Installation

Copy the following command to your Client for configuration
{
    "mcpServers": {
        "gemini-image-generator": {
            "command": "uv",
            "args": [
                "--directory",
                "/absolute/path/to/gemini-image-generator",
                "run",
                "server.py"
            ],
            "env": {
                "GEMINI_API_KEY": "GEMINI_API_KEY",
                "OUTPUT_IMAGE_PATH": "OUTPUT_IMAGE_PATH"
            }
        }
    }
}
Note: Your key is sensitive information, do not share it with anyone.

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