Matricula Toolkit 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
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 |
|---|---|
| inspect_bookA | Inspect a Matricula book: verify accessibility and get sample page info |
| inspect_pageC | Download and inspect a single page |
| download_pageC | Download a single page |
| download_rangeC | Download a range of pages |
| verify_imageB | Verify that a downloaded image is a valid JPEG |
| diagnose_errorC | Diagnose a page URL: attempt download and report detailed error |
| prepare_ocrB | Prepare a directory of images for OCR: list files and sizes |
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 7 tools
Most tools have distinct purposes, but inspect_page and download_page overlap because inspecting a page also downloads it. diagnose_error also partly overlaps with download attempts, though its diagnostic intent helps distinguish it.
All tools follow a consistent snake_case verb_noun pattern: inspect_book, inspect_page, download_page, download_range, verify_image, diagnose_error, prepare_ocr. The convention is predictable throughout.
Seven tools is a well-scoped set for a Matricula book/page downloading and OCR preparation toolkit. Each tool appears to earn its place without obvious redundancy or excessive breadth.
The surface covers book inspection, page inspection, single/range downloads, image validation, error diagnosis, and OCR preparation. Minor gaps exist, such as no batch image verification or actual OCR execution, but core workflows are supported.