73
/100
B
◉ Complete 5⁄5
Prompt Learning MCP Server
Provides stateful prompt optimization using research-backed techniques like APE and OPRO, learning from historical performance data via a vector database. It enables users to automatically refine prompts, retrieve high-performing examples, and track performance analytics through iterative feedback.
Exa
Glama
Outdated MCP Spec
Complete visibility
— 5/5 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
90
25% weight
Protocol Compliance
68
20% weight
Reliability
—
20% weight
Docs & Maintenance
28
15% weight
Security Hygiene
80
20% weight
Schema Interpretability
86
15% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 90 | Good |
| Description Quality | 90 | Good |
| Documentation Coverage | 30 | Poor |
| Maintenance Pulse | 36 | Poor |
| Dependency Health | 55 | Fair |
| License Clarity | — | Poor |
| Version Hygiene | — | Poor |
Analyzed 4 weeks, 1 day ago
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