openai-images-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| OPENAI_ORG_ID | No | Optional organization ID for OpenAI. | |
| OPENAI_API_KEY | Yes | Your OpenAI API key. | |
| OPENAI_BASE_URL | No | Override OpenAI base URL. | |
| DALLE_OUTPUT_DIR | No | Default directory for saved images. Falls back to ~/dalle-mcp-output. | |
| OPENAI_PROJECT_ID | No | Optional project ID for OpenAI. | |
| DALLE_DEFAULT_MODEL | No | Model used when a tool call omits model. Default gpt-image-1.5. |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_modelsA | List supported OpenAI image models with their capabilities (sizes, qualities, edit/variation support, etc.). Use this before calling generate_image or edit_image to check which options a model accepts. |
| generate_imageB | Create one or more images from a text prompt using OpenAI's image models (gpt-image-1.5, gpt-image-1, gpt-image-1-mini, dall-e-3, dall-e-2). Images are saved to disk and file paths are returned. |
| edit_imageC | Edit one or more existing images using a text prompt and optional mask. Supports gpt-image-1.5, gpt-image-1, gpt-image-1-mini, and dall-e-2. Results are saved to disk and file paths are returned. |
| create_variationA | Generate variations of an existing image using DALL·E 2 (the only model that supports variations). Results are saved to disk and file paths are returned. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: generating new images, editing existing ones, creating variations, and listing supported models. There is no overlap or confusion between them.
All tool names follow a consistent verb_noun pattern using snake_case (create_variation, edit_image, generate_image, list_models), making them predictable and easy to understand.
With 4 tools, the server is well-scoped for its purpose of generating and manipulating images via OpenAI's APIs. Each tool earns its place without unnecessary duplication or gaps.
The set covers the full lifecycle of image creation: generating, editing, and creating variations, along with a model listing tool for configuration. No obvious missing functionality for the intended domain.