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41
/100
D ◔ Limited 34

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: 1 month, 1 week 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 1 month ago
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