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69
/100
C ◉ Complete 55

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.

by Angry-Robot-Deals ★ 3 Last commit: 2 months ago
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
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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
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