image-analysis-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": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| ocr_imageA | OCR text from an image. Extracts text using the best available OCR backend. Returns text blocks with confidence scores and bounding boxes. Args: image_path: Absolute path to the image file (must be under home directory) |
| image_metadataA | Extract full metadata from an image. Returns file info (size, timestamps, SHA-256), image properties (format, dimensions, DPI, colour space), and EXIF data including camera make/model, datetime, and GPS coordinates. Args: path: Absolute path to the image file (must be under home directory) |
| extract_textA | Extract all text and metadata from an image. Convenience wrapper that combines OCR text extraction with full image metadata in a single JSON response. Args: image_path: Absolute path to the image file (must be under home directory) |
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
ocr_image and extract_text both handle text extraction, causing slight overlap, but extract_text explicitly combines OCR with metadata, making its broader purpose clear. image_metadata is distinct.
Names mix conventions: ocr_image (verb_noun), image_metadata (noun_noun), and extract_text (verb_noun). The inconsistency is noticeable but still readable.
Three tools is well-scoped for a focused image analysis server, though extract_text is somewhat redundant as a convenience wrapper.
The server covers OCR and metadata extraction, including a combined wrapper, but lacks broader image analysis features such as classification or object detection, which the server name might imply.