mcpGetImage
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| OPENAI_API_KEY | Yes | API key for OpenAI. | |
| OPENAI_IMAGE_MODEL | No | Model to use for image generation. Default: 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
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| refine_candy_promptB | Refine a candy image request into a white-background product prompt. |
| generate_candy_imageC | Generate a candy image with OpenAI, then remove its white background. |
| remove_backgroundA | Remove the background from a local image and save a transparent WebP. |
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 3 tools
Each tool targets a distinct stage: prompt refinement, image generation with background removal, and standalone background removal for local images. No two tools have overlapping purposes.
All tool names follow a consistent verb_noun snake_case pattern: refine_candy_prompt, generate_candy_image, remove_background. The naming is uniform and predictable.
Three tools perfectly cover the intended workflow: refine, generate, and process. The count is well-scoped for the server's purpose.
The pipeline is complete for candy image generation with background removal. The only minor gap is the absence of a standalone background-refinement option, but the core workflow is fully supported.