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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.

AI & Machine Learning by vietnama10 Last commit: 7 months, 3 weeks ago
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
30-Day Trend

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 7 months, 2 weeks ago
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