mcp-image-optimizer
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 | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| optimize_imageC | Optimize an image from a file path or URL with various transformation options |
| batch_optimizeB | Optimize multiple images at once |
| get_image_infoB | Get metadata and information about an image |
| auto_cropA | Automatically crop image to remove borders, whitespace, or solid color backgrounds |
| smart_cropC | Intelligently crop image to specified dimensions using entropy or attention detection |
| create_placeholderA | Generate a low-quality image placeholder (LQIP) for lazy loading |
| add_watermarkB | Add a watermark image or text to an image |
| generate_faviconB | Generate all favicon sizes and formats needed for modern web apps |
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 8 tools
Each tool targets a distinct operation: optimization, batch, info, two distinct crop types, placeholder, watermark, and favicon generation. Even the two crop tools have clearly differentiated purposes (auto removes borders, smart uses AI).
All tool names follow a consistent lowercase_snake_case verb_noun pattern (optimize_image, get_image_info, create_placeholder, add_watermark, generate_favicon). The crop tools use compound verbs but remain stylistically uniform.
8 tools is well-scoped for an image optimization server. Each tool provides meaningful distinct functionality without redundancy or bloat.
The surface covers core image optimization, batch processing, metadata, cropping, placeholders, watermarks, and favicon generation. Minor gaps exist (e.g., no explicit format conversion tool), but the general optimize_image likely covers that, so no severe omissions.