70
/100
B
◉ Complete 5⁄5
Digital Brain MCP
A persistent long-term memory system that enables AI clients to store and recall notes, code, and research via semantic search. It utilizes Google Gemini embeddings and Supabase pgvector to provide a secure, searchable 'Second Brain' for MCP-compatible applications.
Google Gemini
Supabase
Glama
Outdated MCP Spec
Complete visibility
— 5/5 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
72
25% weight
Protocol Compliance
70
20% weight
Reliability
—
20% weight
Docs & Maintenance
27
15% weight
Security Hygiene
80
20% weight
Schema Interpretability
90
15% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 60 | Fair |
| Description Quality | 90 | Good |
| Documentation Coverage | 30 | Poor |
| Maintenance Pulse | 45 | Fair |
| Dependency Health | 30 | Poor |
| License Clarity | — | Poor |
| Version Hygiene | — | Poor |
Analyzed 4 weeks ago
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