Generates images from text prompts using the OpenAI Images API, saves them locally, and serves them via HTTP.
Click on "Install 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-server-openai-image-generator generate a digital painting of an astronaut riding a horse on Mars"
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.
An MCP (Model Context Protocol) server that exposes an OpenAI image generation tool over HTTP. It generates images from text prompts, saves them locally, and serves them via an integrated static file server.
Runtime / Language: Bun + TypeScript
MCP Transport: HTTP — standard JSON responses (POST /mcp)
Image generation: OpenAI Images API (gpt-image-2 by default)
CORS: Access-Control-Allow-Origin: * on all routes
Related MCP server: nano-banana
Bun >= 1.0
An OpenAI API key with access to the Images API
bun installEdit config.json at the project root:
{
"port": 1980,
"model": "gpt-image-2",
"size": "1024x1536",
"quality": "low",
"imagesDir": "images"
}Field | Description | Default |
| HTTP server listening port |
|
| OpenAI image model |
|
| Generated image dimensions |
|
| Image quality ( |
|
| Directory where generated images are stored |
|
The imagesDir directory is created automatically if it does not exist.
Provide your OpenAI key via the environment variable:
export OPENAI_API_KEY=sk-...# production
bun run start
# development (watch mode)
bun run devThe server starts on the configured port (default: http://localhost:1980).
generate_imagePOST /mcp with a JSON-RPC 2.0 body:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "generate_image",
"arguments": {
"description": "A futuristic city at sunset, digital art"
}
}
}{
"jsonrpc": "2.0",
"id": 1,
"result": {
"url": "http://localhost:1980/images/1720000000000.png",
"filename": "1720000000000.png",
"model": "gpt-image-2",
"size": "1024x1536",
"prompt": "A futuristic city at sunset, digital art"
}
}Generated images are saved as <timestamp>.png in imagesDir and immediately accessible at GET /images/:filename.
src/
index.ts # Entry point — loads config, starts server
server.ts # Bun HTTP server, routes requests
mcpHandler.ts # JSON-RPC 2.0 MCP handler
imageGenerator.ts # OpenAI Images API integration
staticHandler.ts # Static file serving for generated images
config.ts # Config loading from config.json
types.ts # Shared TypeScript types
config.json # Server configuration
images/ # Generated images (auto-created)Private — all rights reserved.
This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Generate logos, social posts, app screenshots, comic panels & visual-novel assets from prompts.
Generate PWA icon sets and iOS splash screens from a text prompt or an existing image.
Transform video, audio and images, and generate media from prompts. FFmpeg, captions, models.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/jlg-formation/mcp-server-openai-image-generator'
If you have feedback or need assistance with the MCP directory API, please join our Discord server