Etchv MCP Server
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- AlicenseNot gradedqualityAmaintenanceEnables 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
- AlicenseNot gradedqualityBmaintenanceProvides AI content watermarking and C2PA compliance for EU AI Act Article 50, enabling detection, verification, and batch processing of authenticated content.3 npm54 PyPIMIT
- AlicenseNot gradedqualityBmaintenanceEnables clients to generate AI logos and full brand kits, create color palettes, SEO meta tags, and JSON-LD schema markup, search design guides, and handle paid logo generation workflows through a hosted streamable-HTTP endpoint.MIT
- AlicenseAqualityDmaintenanceEnables AI agents to add text or logo watermarks to images via URL, batch watermark up to 20 images, and check usage, with a free tier available.438 npm1MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to run real image and PDF processing remotely — compressing, converting, resizing, cropping, watermarking, and chaining multiple operations in a single call — with no local install and zero-retention handling.8MIT
- AlicenseAqualityDmaintenanceVerifiable document intelligence for AI agents. Extract text, tables, and structured data from PDFs and URLs. Summarize, answer questions, check claims, and translate — all with cited evidence. Store tamper-evident evidence bundles with cryptographic signatures and on-chain attestation via Base L2. Cross-document semantic search and Q&A across named collections. Pay per call with USDC222 npm1MIT
TDQS
Scored across 18 tools
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.
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.
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.
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.