openai-images-mcp
Provides tools for generating and editing images using OpenAI's GPT Image and DALL·E models, including image generation from text prompts, editing existing images with masks, and creating image variations.
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., "@openai-images-mcpgenerate a logo for a coffee shop called 'Morning Brew' with a minimalist design"
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.
openai-images-mcp
Generate and edit images with OpenAI's gpt-image and DALL·E models, exposed as Model Context Protocol tools. Supports gpt-image-1.5, gpt-image-1, gpt-image-1-mini, dall-e-3, and dall-e-2.
Tools
Tool | Purpose | Models |
| List supported models and their capabilities (sizes, qualities, edit/variation support). | all |
| Generate one or more images from a text prompt. |
|
| Edit existing images with a prompt and optional mask. |
|
| Generate variations of an image. |
|
All generated files are saved to disk. Set return_image_content: true on any call to also receive the images as MCP image blocks (useful when the client should "see" the result, but adds a lot of tokens).
Install
npm install
npm run buildConfigure your MCP client
Claude Desktop / Claude Code
Add to claude_desktop_config.json (or your project's .mcp.json):
{
"mcpServers": {
"dalle": {
"command": "node",
"args": ["/absolute/path/to/dalle-mcp/dist/index.js"],
"env": {
"OPENAI_API_KEY": "sk-...",
"DALLE_OUTPUT_DIR": "/absolute/path/where/images/save"
}
}
}
}Environment variables
Variable | Purpose |
| Required. Your OpenAI API key. |
| Optional. Override OpenAI base URL. |
| Optional. |
| Optional. |
| Optional. Default directory for saved images. Falls back to |
| Optional. Model used when a tool call omits |
Tool reference
generate_image
Required: prompt.
Optional: model, size, quality, n, background, output_format, output_compression, moderation, style, user, output_dir, filename_prefix, return_image_content.
Model-specific notes:
GPT Image (
gpt-image-1.5,gpt-image-1,gpt-image-1-mini): sizesauto|1024x1024|1536x1024|1024x1536, qualitiesauto|low|medium|high. Supportsbackground,output_format,output_compression,moderation.DALL·E 3: sizes
1024x1024|1792x1024|1024x1792, qualitiesstandard|hd,nmust be 1, supportsstyle.DALL·E 2: sizes
256x256|512x512|1024x1024, qualitystandard.
edit_image
Required: prompt, images (absolute paths, up to 16 for GPT Image).
Optional: mask (transparent pixels indicate editable regions), plus the generation options above. DALL·E 3 does not support edits.
create_variation
DALL·E 2 only. Required: image (PNG, square, under 4MB).
Optional: n, size (256x256|512x512|1024x1024), output_dir, filename_prefix, return_image_content.
list_models
No arguments. Returns a JSON document describing each model's sizes, qualities, and supported options — handy for the caller to consult before picking parameters.
Development
npm run dev # run with tsx, no build step
npm run build # tsc to dist/
npm start # node dist/index.jsThe server speaks MCP over stdio, so you can drive it with any MCP-compatible client or manually by piping JSON-RPC messages to node dist/index.js.
Notes
DALL·E 2 and DALL·E 3 are deprecated by OpenAI and support ends 2026-05-12; prefer the GPT Image family.
GPT Image models always return base64 data; DALL·E models are asked for base64 as well so files can be saved without a second HTTP round-trip.
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