mcp-image-tools
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 |
|---|---|
| image_metadataA | Read image metadata from a URL via HTTP headers: content-type, file size, last-modified, etag, cache info. No image downloading required. |
| find_faviconsA | Find all favicons for a website. Checks /favicon.ico, parses HTML link tags, and inspects manifest.json. Returns all found favicons with sizes and types. |
| extract_og_imageA | Extract Open Graph image, Twitter card image, and Apple touch icon from any URL. Returns all social media preview images found on the page. |
| generate_placeholderA | Generate placeholder image URLs via placehold.co. Supports custom size, colors, text, format, and font. Returns URL plus ready-to-use HTML and Markdown markup. |
| responsive_imagesA | Generate srcset and element HTML for responsive images. Given a base image URL, produces multiple size variants with proper HTML markup for responsive design. |
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
Each tool targets a distinct image-related task: reading HTTP headers, finding favicons, extracting social media images, generating responsive markup, and creating placeholders. No two tools could be confused for one another.
Tool names are a mix of verb-initial names (find_favicons, extract_og_image, generate_placeholder) and noun-phrase names (image_metadata, responsive_images). The lack of a consistent verb_noun pattern makes the set feel less predictable.
The server has 5 focused tools, which is well within the ideal range for a single-purpose utility server. Each tool earns its place without bloat.
The tools comprehensively cover common web image workflows: inspecting, discovering, generating, and integrating images. A minor gap is the lack of image transformation (e.g., resizing) but this is not clearly in scope.