imagic-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 |
|---|---|
| convert_imageC | Convert an image to a different format (PNG, JPEG, GIF, WebP, or ICO). |
| resize_imageA | Resize an image to custom dimensions or a named preset. Preserves the original format. |
| convert_and_resizeB | Convert an image to a new format and resize it in a single operation. |
| merge_imagesC | Merge multiple images into a single image by arranging them horizontally, vertically, or in a grid. |
| process_folderB | Apply a convert, resize, or convert-and-resize operation to all image files in a folder. Non-image files are automatically skipped. |
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 5 tools
The tools have some clear distinctions but also notable overlap. Convert_and_resize and resize_image both handle resizing, while convert_and_resize and convert_image both handle format conversion, creating potential confusion about when to use each. However, the descriptions help clarify that convert_and_resize combines both operations, and process_folder is distinct as a batch processor.
All tool names follow a consistent snake_case pattern with clear verb_noun or verb_noun_noun structures (e.g., convert_and_resize, merge_images, process_folder). This predictability makes the set easy to scan and understand at a glance.
With 5 tools, this server is well-scoped for image processing tasks. Each tool serves a distinct purpose (conversion, resizing, merging, batch processing, and a combined operation), and the count feels appropriate without being overwhelming or insufficient for the domain.
The toolset covers core image operations well, including format conversion, resizing, merging, and batch processing. A minor gap is the lack of tools for more advanced manipulations like cropping, filtering, or metadata editing, but the provided tools support common workflows effectively.