66
/100
C
◐ Assessed 4⁄4
Ambiance MCP Server
Provides intelligent code context and analysis through semantic compression, AST parsing, and multi-language support. Offers 60-80% token reduction while enabling AI assistants to understand codebases through local analysis, OpenAI-enhanced insights, and GitHub repository integration.
GitHub
OpenAI
Glama
Assessed visibility
— 4/4 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
— Schema Interpretability
Schema Quality
84
25% weight
Protocol Compliance
40
20% weight
Reliability
—
20% weight
Docs & Maintenance
48
15% weight
Security Hygiene
81
20% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 90 | Good |
| Description Quality | 75 | Good |
| Documentation Coverage | 50 | Fair |
| Maintenance Pulse | 35 | Poor |
| Dependency Health | 55 | Fair |
| License Clarity | 100 | Good |
| Version Hygiene | — | Poor |
Analyzed 1 month ago
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