73
/100
B
◉ Complete 5⁄5
Context MCP
Provides persistent context management for AI agents by storing and querying semantic information using Upstash Vector DB and Google AI embeddings. It enables semantic search, batch operations, and metadata filtering to help agents retrieve relevant stored knowledge.
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Outdated MCP Spec
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— 5/5 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
78
25% weight
Protocol Compliance
58
20% weight
Reliability
—
20% weight
Docs & Maintenance
45
15% weight
Security Hygiene
80
20% weight
Schema Interpretability
99
15% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 90 | Good |
| Description Quality | 60 | Fair |
| Documentation Coverage | 40 | Fair |
| Maintenance Pulse | 35 | Poor |
| Dependency Health | 55 | Fair |
| License Clarity | 100 | Good |
| Version Hygiene | — | Poor |
Analyzed 1 month ago
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