Image Generator MCP Server

An MCP server that uses Replicate to generate images and allows users to save them.

Components

Resources

The server implements an image storage system with:

• Custom image:// URI scheme for accessing individual generated images
• Each image resource has a name based on its prompt, description with creation date, and image/png mimetype

Prompts

The server provides a single prompt:

• generate-image: Creates prompts for generating images using Stable Diffusion
  • Optional "style" argument to control the image style (realistic/artistic/abstract)
  • Generates a prompt template with style-specific guidance

Tools

The server implements three tools:

• generate-image: Generates an image using Replicate's Stable Diffusion model
  • Takes "prompt" as a required string argument
  • Optional parameters include "negative_prompt", "width", "height", "num_inference_steps", and "guidance_scale"
  • Returns the generated image and its URL
• save-image: Saves a generated image to the local filesystem
  • Takes "image_url" and "prompt" as required string arguments
  • Generates a unique ID for the image and saves it to the "generated_images" directory
• list-saved-images: Lists all saved images
  • Returns a list of all saved images with their metadata and thumbnails

Configuration

Replicate API Token

To use this image generator, you need a Replicate API token:

1. Create an account at Replicate

2. Get your API token from https://replicate.com/account

3. Create a `.env` file based on the provided `.env.example` template:

REPLICATE_API_TOKEN=your_replicate_api_token_here

> Important: The `.env` file is excluded from version control via `.gitignore` to prevent accidentally exposing your API token. Never commit sensitive information to your repository.

Environment Setup

1. Clone the repository:

git clone https://github.com/yourusername/image-generator.git
cd image-generator

2. Create and activate a virtual environment:

# Using venv
python -m venv .venv
# On Windows
.venv\Scripts\activate
# On macOS/Linux
source .venv/bin/activate

3. Install dependencies:

pip install -r requirements.txt

4. Set up your `.env` file as described above

Quickstart

Install

Claude Desktop

On MacOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json`

On Windows: `%APPDATA%/Claude/claude_desktop_config.json`

Development/Unpublished Servers Configuration

"mcpServers": {
    "image-generator": {
      "command": "uv",
      "args": [
        "--directory",
        "B:\NEWTEST\image-generator",
        "run",
        "image-generator"
      ]
    }
  }

Published Servers Configuration

"mcpServers": {
    "image-generator": {
      "command": "uvx",
      "args": [
        "image-generator"
      ]
    }
  }

Usage

Once the server is running, you can:

1. Generate an image by using the "generate-image" tool with a descriptive prompt

2. Save the generated image using the "save-image" tool with the image URL and prompt

3. View all saved images using the "list-saved-images" tool

4. Access saved images through the resource list

Development

Building and Publishing

To prepare the package for distribution:

1. Sync dependencies and update lockfile:

uv sync

2. Build package distributions:

uv build

This will create source and wheel distributions in the `dist/` directory.

3. Publish to PyPI:

uv publish

Note: You'll need to set PyPI credentials via environment variables or command flags:

• Token: `--token` or `UV_PUBLISH_TOKEN`
• Or username/password: `--username`/`UV_PUBLISH_USERNAME` and `--password`/`UV_PUBLISH_PASSWORD`

Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging

experience, we strongly recommend using the MCP Inspector.

You can launch the MCP Inspector via `npm` with this command:

npx @modelcontextprotocol/inspector uv --directory B:\NEWTEST\image-generator run image-generator

Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.