69
/100
C
◉ Complete 5⁄5
ACE MCP Server
Implements Agentic Context Engineering to create self-improving AI coding assistants that learn from execution feedback and build persistent knowledge playbooks. Reduces token usage by 86.9% while improving code accuracy by 10.6% through incremental context updates.
Complete visibility
— 5/5 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
84
25% weight
Protocol Compliance
42
20% weight
Reliability
—
20% weight
Docs & Maintenance
49
15% weight
Security Hygiene
81
20% weight
Schema Interpretability
84
15% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 100 | Good |
| Description Quality | 60 | Fair |
| Documentation Coverage | 47 | Fair |
| Maintenance Pulse | 40 | Fair |
| Dependency Health | 55 | Fair |
| License Clarity | 100 | Good |
| Version Hygiene | — | Poor |
Analyzed 1 month ago