mcp-4o-Image-Generator
The mcp-4o-Image-Generator server enables AI-powered image generation and editing through the 4o-image API. You can:
Text-to-Image Generation: Create images from text descriptions.
Image Editing: Transform existing images based on text prompts.
Real-time Progress Updates: Receive feedback on generation status.
Browser Integration: Automatically open generated images in your default browser with clickable links provided.
Runs as a Node.js application, as indicated by the Node.js version compatibility badge.
Available as an npm package that can be installed and executed using npx.
Uses Shields.io for displaying version and compatibility badges in the README.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-4o-Image-Generator create a photo of a cat wearing sunglasses on a surfboard"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
4o-image MCP Server
An MCP server implementation that integrates with 4o-image API, enabling LLMs and other AI systems to generate and edit images through a standardized protocol. Create high-quality art, 3D characters, and custom images using simple text prompts.
Features
Text-to-Image Generation: Create images from text descriptions with AI
Image Editing: Transform existing images using text prompts
Real-time Progress Updates: Get feedback on generation status
Browser Integration: Automatically open generated images in your default browser
Related MCP server: image-forge-mcp
Tools
generateImage
Generate images based on text prompts with optional image editing
Inputs:
prompt(string, required): Text description of the desired imageimageBase64(string, optional): Base64-encoded image for editing or style transfer
Configuration
Getting an API Key
Register for an account at 4o-image.app
Obtain your API key from the user dashboard
Set the API key as an environment variable when running the server
Usage with Claude Desktop
Add this to your claude_desktop_config.json:
{
"mcpServers": {
"4o-image": {
"command": "npx",
"args": [
"-y",
"4oimage-mcp"
],
"env": {
"API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}Example Usage
Here's an example of using this MCP server with Claude:
Generate an image of a dog running on the beach at sunsetClaude will use the MCP server to generate the image, which will automatically open in your default browser. You'll also get a direct link to the image in Claude's response.
For image editing, you can include a base image and prompt Claude to modify it:
Edit this image to make the sky more dramatic with storm cloudsLicense
This MCP server is licensed under the MIT License. You are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License.
Available Tools
1 toolgenerateImageA
Generate images using the 4o-image API and automatically open the results in your browser.
This tool generates images based on your prompt and automatically opens them in your default browser, while also returning a clickable link.
The tool supports two modes:
Text-to-image - Create new images using just a text prompt
Image editing - Provide a base image and prompt for editing or style transfer
The response will include a direct link to the generated image and detailed information.
Visit our website: https://4o-image.app/
Inputs: prompt (required), imageBase64.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'generateImage' has a clear, distinct purpose for image generation and editing.
The tool name 'generateImage' follows a consistent verb_noun pattern, and with only one tool, there is no inconsistency to evaluate. The naming is clear and appropriate for its function.
A single tool is too few for the server's purpose of image generation and editing, as it lacks coverage for related operations like listing generated images, managing settings, or handling errors. This minimal set limits agent functionality and feels incomplete for the domain.
The tool surface is severely incomplete for an image generation server. While 'generateImage' covers creation and editing, there are obvious gaps such as no tools for retrieving past images, deleting images, or configuring generation parameters, which are essential for a full workflow.
Maintenance
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Generate AI images and videos from any compatible MCP client.
Generate game-ready 3D models, textures, and audio from natural language, over MCP.
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