79
/100
B
◉ Complete 6⁄6
lawmem-ai/lawmem-mcp
Persistent semantic memory-as-a-service for legal AI agents. Store and recall case notes, client context, and matter history via MCP. Namespace-isolated, audit-logged, and GDPR-compliant.
Glama
MCP Surface
Tools: 4
Complete visibility
— 6/6 applicable dimensions scored
✓ Schema Quality
✓ Protocol
✓ Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
78
25% weight
Protocol Compliance
66
20% weight
Reliability
92
20% weight
Docs & Maintenance
56
15% weight
Security Hygiene
81
20% weight
Schema Interpretability
95
15% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Latency Trend
Latest Health Check
Checked 7 months, 1 week ago
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 30 | Poor |
| Description Quality | 45 | Fair |
| Documentation Coverage | 35 | Poor |
| Maintenance Pulse | 76 | Good |
| Dependency Health | — | Poor |
| License Clarity | 100 | Good |
| Version Hygiene | 80 | Good |
Analyzed 7 months, 1 week ago
Protocol Compliance
Schema Issues (9)
store_memory.text: missing description
store_memory.matter_id: missing description
store_memory.agent_id: missing description
store_memory.source_doc: missing description
store_memory.metadata: missing description
recall_memories.query: missing description
recall_memories.matter_id: missing description
recall_memories.top_k: missing description
delete_memory.memory_id: missing description
Probed 7 months, 1 week ago
Add this to your README to display your MCP Scoreboard grade:
