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75
/100
B ◉ Complete 55

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.

Search & Knowledge by semanticintent ★ 3 Last commit: 3 months, 3 weeks ago
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
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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
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