68
/100
C
◉ Complete 5⁄4
xai-toolkit
Provides deterministic, plain-English narratives explaining machine learning model predictions via the Model Context Protocol. It enables users to query classification factors directly through natural language, bypassing the need for complex plots or manual code execution.
Complete visibility
— 5/4 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
60
42% weight
Protocol Compliance
N/A
Local server
Reliability
N/A
Local server
Docs & Maintenance
32
25% weight
Security Hygiene
95
33% weight
Schema Interpretability
91
15% weight
Score History
Category Trends
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 60 | Fair |
| Description Quality | 60 | Fair |
| Documentation Coverage | 37 | Poor |
| Maintenance Pulse | 45 | Fair |
| Dependency Health | 55 | Fair |
| License Clarity | — | Poor |
| Version Hygiene | — | Poor |
Analyzed 1 month ago