71
/100
B
◉ Complete 5⁄5
Code Review MCP Server
Analyzes codebases using Repomix and LLMs to provide structured code reviews with specific issues and recommendations, supporting multiple LLM providers including OpenAI, Anthropic, and Gemini.
Anthropic
Google Gemini
OpenAI
Complete visibility
— 5/5 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
86
25% weight
Protocol Compliance
57
20% weight
Reliability
—
20% weight
Docs & Maintenance
34
15% weight
Security Hygiene
76
20% weight
Schema Interpretability
93
15% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 90 | Good |
| Description Quality | 80 | Good |
| Documentation Coverage | 37 | Poor |
| Maintenance Pulse | 35 | Poor |
| Dependency Health | 55 | Fair |
| License Clarity | — | Poor |
| Version Hygiene | — | Poor |
Analyzed 4 weeks, 1 day ago