77
/100
B
◐ Assessed 3⁄3
macos-vision-mcp
Local OCR and image analysis via Apple Vision Framework. Wraps macOS's native Vision API to expose OCR for images and PDFs (with reading-order paragraphs, bounding boxes, line/paragraph IDs, and confidence), face / barcode / QR / document-corner detection, and image classification — all as MCP tools any client (Claude Code, Claude Desktop, Cursor, Codex CLI) can call. ~97% token savings vs sending raw images. Fully offline, no API keys, files never leave the Mac. One-line install: `npx -y macos-vision-mcp`.
Anthropic
Assessed visibility
— 3/3 applicable dimensions scored
✓ Schema Quality
— Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
— Schema Interpretability
Schema Quality
72
42% weight
Protocol Compliance
N/A
Local server
Reliability
N/A
Local server
Docs & Maintenance
60
25% weight
Security Hygiene
95
33% weight
Score History
Category Trends
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 60 | Fair |
| Description Quality | 90 | Good |
| Documentation Coverage | 52 | Fair |
| Maintenance Pulse | 75 | Good |
| Dependency Health | 55 | Fair |
| License Clarity | — | Poor |
| Version Hygiene | 90 | Good |
Analyzed 3 months, 4 weeks ago