76
/100
B
◉ Complete 5⁄5
Cortex MCP Server
Cortex MCP provides AI agents with long-term portfolio memory by transforming project history and developer decisions into a structured, queryable knowledge graph. It enables assistants to maintain context across different repositories by exposing historical patterns, architectural decisions, and technology preferences through the Model Context Protocol.
MCP Surface
Tools: 29
Complete visibility
— 5/5 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
94
42% weight
Protocol Compliance
N/A
Local server
Reliability
N/A
Local server
Docs & Maintenance
59
25% weight
Security Hygiene
95
33% weight
Schema Interpretability
39
15% weight
Score History
Category Trends
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 90 | Good |
| Description Quality | 100 | Good |
| Documentation Coverage | 65 | Fair |
| Maintenance Pulse | 45 | Fair |
| Dependency Health | 75 | Good |
| License Clarity | 100 | Good |
| Version Hygiene | — | Poor |
Analyzed 1 month ago
Protocol Compliance
Schema Issues (57)
search_portfolio.query: missing description
search_portfolio.type: missing description
who_uses.technology: missing description
find_similar_apps.appId: missing description
find_reusable.description: missing description
find_patterns.category: missing description
find_patterns.scope: missing description
get_conventions.app: missing description
get_conventions.tech: missing description
get_app_context.appId: missing description
query_graph.entityId: missing description
query_graph.entityIds: missing description
query_graph.depth: missing description
suggest_stack.description: missing description
suggest_stack.domain: missing description
... and 42 more
Probed 1 month ago