74
/100
B
◉ Complete 5⁄5
Qdrant MCP Server
Enables semantic code search across codebases using Qdrant vector database and OpenAI embeddings, allowing users to find code by meaning rather than just keywords through natural language queries.
OpenAI
Qdrant
Glama
Complete visibility
— 5/5 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
94
25% weight
Protocol Compliance
40
20% weight
Reliability
—
20% weight
Docs & Maintenance
53
15% weight
Security Hygiene
82
20% weight
Schema Interpretability
96
15% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 90 | Good |
| Description Quality | 100 | Good |
| Documentation Coverage | 87 | Good |
| Maintenance Pulse | 15 | Poor |
| Dependency Health | 50 | Fair |
| License Clarity | 100 | Good |
| Version Hygiene | — | Poor |
Analyzed 4 weeks, 2 days ago
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