image-studio-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| OPENAI_API_KEY | Yes | API key used for the image endpoint. Required. | |
| OPENAI_BASE_URL | No | Optional. Defaults to https://dash.classicriver.cn/v1/. | https://dash.classicriver.cn/v1/ |
| OPENAI_IMAGE_MODEL | No | Optional. Defaults to gpt-image-2. | gpt-image-2 |
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 |
|---|---|
| generate_imageC | Generate one or more images from a prompt with an OpenAI-compatible image endpoint and save them to local files. |
| edit_imageB | Edit one or more source images with a prompt, optionally using a mask, and save the results to local files. |
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 2 tools
The two tools have clearly distinct purposes: edit_image modifies existing images based on a prompt and optional mask, while generate_image creates new images from scratch using a prompt. There is no overlap or ambiguity between these functions.
Both tools follow a consistent verb_noun pattern (edit_image, generate_image) with the same verb style and underscore separation. The naming is perfectly predictable and uniform.
With only 2 tools, this server feels thin for an 'image studio' domain. While the tools cover basic generation and editing, there are likely missing operations like image analysis, format conversion, or batch processing that would be expected in a comprehensive image toolset.
For an image processing server, there are significant gaps in the surface. Missing are tools for tasks like image resizing, filtering, metadata reading, format conversion, or batch operations. The current tools only cover generation and basic editing, leaving many common image workflows unsupported.