25
/100
F
◉ Complete 6⁄6
Document Retrieval MCP Server
Enables AI agents to search and retrieve relevant document content from existing embeddings stored in Supabase vector database. Provides semantic search capabilities to find document chunks based on similarity to query text without generating new embeddings.
Supabase
Glama
Exfiltration Risk
Complete visibility
— 6/6 applicable dimensions scored
✓ Schema Quality
✓ Protocol
✓ Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
78
25% weight
Protocol Compliance
68
20% weight
Reliability
—
20% weight
Docs & Maintenance
40
15% weight
Security Hygiene
74
20% weight
Schema Interpretability
90
15% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Latest Health Check
Checked 3 weeks, 6 days ago
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 90 | Good |
| Description Quality | 60 | Fair |
| Documentation Coverage | 35 | Poor |
| Maintenance Pulse | 35 | Poor |
| Dependency Health | 30 | Poor |
| License Clarity | 100 | Good |
| Version Hygiene | — | Poor |
Analyzed 4 weeks ago
Protocol Compliance
Probed 4 weeks ago
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