75
/100
B
◉ Complete 5⁄5
Semantic Context MCP
Enables AI assistants to save, load, and search conversation context with AI-powered summarization and auto-tagging. Demonstrates semantic intent patterns and hexagonal architecture for maintainable AI-assisted development.
Exa
Ambiguous Schemas
Complete visibility
— 5/5 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
90
25% weight
Protocol Compliance
48
20% weight
Reliability
—
20% weight
Docs & Maintenance
65
15% weight
Security Hygiene
81
20% weight
Schema Interpretability
89
15% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 90 | Good |
| Description Quality | 90 | Good |
| Documentation Coverage | 78 | Good |
| Maintenance Pulse | 40 | Fair |
| Dependency Health | 100 | Good |
| License Clarity | 100 | Good |
| Version Hygiene | — | Poor |
Analyzed 1 month ago