A
licenseA
qualityC
maintenanceEnables AI agents to analyze images, extract text, compare images, and analyze video through any OpenAI-compatible vision model.
4
326 npm
20
MIT
apud-mcp
by cadeos
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TDQS
B3.2/5.0
Scored across 3 tools
Disambiguation5/5
The three tools occupy clearly separate steps of a single workflow: enumerate structure (describe_manifest), retrieve imagery (view_region), and persist a transcription (annotate_transcription). There is no resource or action overlap that could cause misselection.
Naming Consistency5/5
All three names follow a consistent verb_noun snake_case pattern (describe_, view_, annotate_) with noun phrases that match the IIIF vocabulary used in the descriptions. No mixed conventions or vague verbs.
Tool Count4/5
Three tools is on the lean side, but each maps to a distinct, necessary step of the manifest-inspect-annotate loop and nothing feels redundant. A small number of additional read/query helpers would round it out, but the scope is deliberate rather than padded.
Completeness3/5
The read path (manifest structure + region imagery with coordinate mapping) is solid, but the annotation side is a dead end: there is no tool to list, retrieve, update, or delete existing annotations, so an agent can write transcriptions but never verify or re-read them. Manifest-level metadata and search are also absent.
Maintenance
ActivityMaintained
ResponsivenessSyncing