A
licenseNot graded
qualityA
maintenanceEnables AI agents to add text and image watermarks, search for existing watermarks, and remove watermarks from documents. Supports over 50 document and image formats including PDF, DOCX, and XLSX.
MIT
Etchv MCP Server
Officialby etchv-labs
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TDQS
A3.6/5.0
Scored across 18 tools
Disambiguation4/5
Most tools target a distinct resource+action pair, and descriptions clarify the job-based flow (watermark/detect → get_job → get_job_result). The only mild overlaps are get_job vs get_job_result and the storage delivery list/get pair, but the descriptions make the boundaries readable.
Naming Consistency5/5
Every tool follows a predictable snake_case verb_noun pattern (list_assets, get_asset, download_asset, update_asset, delete_asset, store_asset, redeliver_webhook, etc.). No camelCase or vague verbs break the pattern.
Tool Count4/5
18 tools is slightly heavy but justified: four distinct areas (watermarking jobs, assets, storage destinations/deliveries, webhooks) each need CRUD-ish coverage. Nothing feels gratuitous, though a couple of read tools could conceivably be folded together.
Completeness3/5
Assets cover read/download/update/delete but there is no create/upload operation, and webhooks expose list/redeliver/deliveries but no create or delete (explicitly deferred to the dashboard). These are deliberate gaps but leave agents unable to complete full lifecycle workflows without leaving the tool surface.
Maintenance
ActivityMaintained
ResponsivenessNo issues