MCP server
by antipas
Generate and edit high-quality images in real time with our AI image generator. Bridge AI systems to 4o-image API for st
Provides a bridge between AI systems and the 4o-image API for generating and editing high-quality images through text prompts with real-time progress updates.
4o-image is a community-built MCP server published by antipas that provides AI assistants with tools and capabilities via the Model Context Protocol. Generate and edit high-quality images in real time with our AI image generator. Bridge AI systems to 4o-image API for st It is categorized under ai ml.
You can install 4o-image in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
4o-image is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
We wired 4o-image into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
According to our notes, 4o-image benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
4o-image is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
4o-image has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
4o-image reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We evaluated 4o-image against two servers with overlapping tools; this profile had the clearer scope statement.
4o-image has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
4o-image is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We evaluated 4o-image against two servers with overlapping tools; this profile had the clearer scope statement.
I recommend 4o-image for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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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.
<a href="https://glama.ai/mcp/servers/@Antipas/4oimage-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@Antipas/4oimage-mcp/badge" alt="mcp-4o-Image-Generator MCP server" /> </a>
prompt (string, required): Text description of the desired imageimageBase64 (string, optional): Base64-encoded image for editing or style transferAdd this to your claude_desktop_config.json:
{
"mcpServers": {
"4o-image": {
"command": "npx",
"args": [
"-y",
"4oimage-mcp"
],
"env": {
"API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
Here's an example of using this MCP server with Claude:
Generate an image of a dog running on the beach at sunset
Claude 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 clouds
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.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.