4oimage MCP Server

MCP server for 4o-image API integration - Generate images using text prompts and edit existing images

Local serverstdio

What is the 4oimage MCP MCP server?

MCP server for 4o-image API integration - Generate images using text prompts and edit existing images. That is what the 4oimage mcp mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

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.

  • 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

The tools it exposes

The server publishes 1 tool. What each one is for:

  • Inputs — * prompt (string, required): Text description of the desired image

Getting it running

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.

What it needs from you

Configuration is passed through the environment: API_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

How it compares

Plenty of browser automation servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. 4oimage MCP's toolset — Inputs — is a fair guide to whether it matches your workflow. It is maintained by Antipas; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Things to watch

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
Inputs* prompt (string, required): Text description of the desired image

How to install the 4oimage MCP MCP server

{
  "mcpServers": {
    "4o-image": {
      "command": "npx",
      "args": [
        "-y",
        "4oimage-mcp"
      ],
      "env": {
        "API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
API_KEYCredential the server authenticates with.Yes

Example prompts to try

  • Use 4oimage MCP to Inputs.

Frequently asked questions

It connects 4oimage MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 1 tool (Inputs) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with 4oimage MCP directly.