Image Studio

A local MCP server and Codex plugin for image generation and image editing through OpenAI-compatible image APIs.

This project is suitable for open-source distribution because the package name is generic. It is not presented as an official OpenAI plugin. It simply works with OpenAI-compatible image endpoints.

Repository:

• https://github.com/jhupo/image-studio-mcp.git

Features

• Text-to-image with generate_image
• Image editing with edit_image
• Optional multi-image input for edits
• Optional mask-based editing
• Configurable OPENAI_BASE_URL
• Configurable OPENAI_API_KEY
• Configurable OPENAI_IMAGE_MODEL
• Saves output images directly to local files
• Includes a Codex plugin manifest and a companion skill

Requirements

• Node.js 20+
• An API key for an OpenAI-compatible image endpoint

Environment variables

• OPENAI_API_KEY Required. API key used for the image endpoint.
• OPENAI_BASE_URL Optional. Defaults to https://dash.classicriver.cn/v1/.
• OPENAI_IMAGE_MODEL Optional. Defaults to gpt-image-2.

Local setup

npm install
node ./scripts/openai-image-mcp.mjs

The server uses stdio transport, so it is normally launched by an MCP host instead of manually.

Install in Codex

This repo already includes the Codex plugin files:

• .codex-plugin/plugin.json
• .mcp.json
• skills/image-studio-mcp/SKILL.md

If you are installing it into another Codex workspace:

1. Copy the image-studio-mcp folder into that workspace's plugins/ directory.
2. Run npm install inside the plugin directory.
3. Set OPENAI_API_KEY in the plugin's local MCP config.
4. Do not commit a real API key into the repository.
5. Optionally change OPENAI_BASE_URL and OPENAI_IMAGE_MODEL.
6. Make sure the workspace marketplace points to ./plugins/image-studio-mcp.

Install in any MCP-compatible host

Any host that supports MCP stdio transport can install this server.

Use the same structure shown below, adapted to your host's config format:

{
  "mcpServers": {
    "image-studio-mcp": {
      "command": "node",
      "args": [
        "C:/absolute/path/to/image-studio-mcp/scripts/openai-image-mcp.mjs"
      ],
      "cwd": "C:/absolute/path/to/image-studio-mcp",
      "env": {
        "OPENAI_API_KEY": "your_api_key_here",
        "OPENAI_BASE_URL": "https://dash.classicriver.cn/v1/",
        "OPENAI_IMAGE_MODEL": "gpt-image-2"
      }
    }
  }
}

A copyable example file is included here:

• mcp.config.example.json

Tools

generate_image

Creates one or more images from a prompt.

Important inputs:

• prompt
• output_dir
• filename_prefix
• count
• size
• quality
• background
• output_format

edit_image

Edits one or more source images from a prompt.

Important inputs:

• prompt
• input_images
• mask_image
• output_dir
• filename_prefix
• count
• size
• quality
• background
• output_format

Open-source naming note

For public distribution, image-studio-mcp is safer than openai-image-studio because it avoids looking like an official product name while still making the purpose clear.

Validation

node --check ./scripts/openai-image-mcp.mjs

For real API validation, inject OPENAI_API_KEY from your local shell or host config instead of storing it in tracked files.

You can also validate the skill:

python C:/Users/Administrator/.codex/skills/.system/skill-creator/scripts/quick_validate.py ./skills/image-studio-mcp