image-reader MCP Server
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| analyze_imageC | Get detailed metadata about an image |
| resize_imageC | Resize an image and save to a new file |
| convert_formatC | Convert an image to a different format |
| scan_directoryC | Scan a directory for images and return metadata |
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 4 tools
Each tool has a clearly distinct purpose: analyze_image extracts metadata, convert_format changes file type, resize_image adjusts dimensions, and scan_directory finds images in a directory. There is no overlap or ambiguity between these functions.
All tools follow a consistent verb_noun pattern (e.g., analyze_image, convert_format, resize_image, scan_directory). The naming is uniform and predictable throughout the set.
With 4 tools, this server is well-scoped for basic image processing tasks. Each tool serves a clear, essential function without redundancy, making the count appropriate for the domain.
The toolset covers key operations like metadata extraction, format conversion, resizing, and directory scanning, which are core to image reading. A minor gap might be the lack of tools for editing (e.g., cropping or filtering), but the provided tools are sufficient for basic workflows.