A
licenseA
qualityC
maintenanceA Model Context Protocol server that extracts images from URLs or base64 data and converts them into a format suitable for LLM analysis, allowing AI models to process and understand visual content.
3
188 npm
20
MIT
PicDefense.io MCP Server
by rchanllc
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TDQS
A4.1/5.0
Scored across 11 tools
Disambiguation5/5
Each tool targets a distinct aspect of image analysis: risk, EXIF, faces, landmarks, logos, content safety, backlinks, labels, OCR, watermark, and credits. The descriptions clearly delineate overlapping concepts like reverse-image-search findings vs. dedicated detection tools, so an agent can unambiguously select the right one.
Naming Consistency4/5
All tool names follow the 'picdefense_<verb_noun>' pattern (e.g., extract_exif, detect_face, find_backlinks) with a consistent prefix, but 'safesearch' deviates as a single compound noun rather than a verb_noun construction. This minor inconsistency does not hinder readability.
Tool Count5/5
With 11 tools, the server achieves a well-scoped balance—enough to cover the full spectrum of image risk and detection features without overwhelming the agent. Each tool earns its place and there is no apparent bloat.
Completeness5/5
The tool surface comprehensively covers the image-risk domain: credit management, core risk scoring, EXIF, face/landmark/logo/watermark detection, content safety, backlinks, labels, and OCR. No obvious lifecycle or analytical gaps exist for typical use cases.
Maintenance
ActivityInactive
ResponsivenessNo issues