66
/100
C
◉ Complete 5⁄5
AGI MCP Server
Enables persistent memory for AI systems by providing tools for episodic, semantic, and procedural data storage through a vector-and-graph-enhanced database. It allows models to maintain long-term continuity using similarity search, thematic clustering, and identity tracking.
MCP Surface
Tools: 24
Ambiguous Schemas
Complete visibility
— 5/5 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
78
25% weight
Protocol Compliance
82
20% weight
Reliability
—
20% weight
Docs & Maintenance
33
15% weight
Security Hygiene
78
20% weight
Schema Interpretability
41
15% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 90 | Good |
| Description Quality | 60 | Fair |
| Documentation Coverage | 45 | Fair |
| Maintenance Pulse | 21 | Poor |
| Dependency Health | 55 | Fair |
| License Clarity | — | Poor |
| Version Hygiene | — | Poor |
Analyzed 1 month, 1 week ago
Protocol Compliance
Schema Issues (3)
prune_memories.criteria: missing description
create_working_memory.context: missing description
search_memories_advanced.criteria: missing description
Probed 1 month, 2 weeks ago