41
/100
D
◔ Limited 3⁄4
Knowledge MCP Service
Enables AI-powered document analysis and querying for project documentation using vector embeddings stored in Redis. Supports document upload, context-aware Q\&A, automatic test case generation, and requirements traceability through OpenAI integration.
OpenAI
Redis
Limited visibility
— 3/4 applicable dimensions scored
✓ Schema Quality
○ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
— Schema Interpretability
A remote probe is needed for Protocol and Reliability scores.
Schema Quality
26
25% weight
Protocol Compliance
—
20% weight
Reliability
—
20% weight
Docs & Maintenance
13
15% weight
Security Hygiene
81
20% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 30 | Poor |
| Description Quality | 20 | Poor |
| Documentation Coverage | — | Poor |
| Maintenance Pulse | 45 | Fair |
| Dependency Health | — | Poor |
| License Clarity | — | Poor |
| Version Hygiene | — | Poor |
Analyzed 1 month ago