74
/100
B
◉ Complete 5⁄5
AI Research MCP Server
Enables real-time tracking of AI/LLM research progress by searching and aggregating content from arXiv, GitHub, Hugging Face, and Papers with Code. Supports intelligent search, automated daily/weekly research summaries, and covers 15+ AI research areas with smart caching.
GitHub
arXiv
MCP Surface
Tools: 8
Complete visibility
— 5/5 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
82
25% weight
Protocol Compliance
91
20% weight
Reliability
—
20% weight
Docs & Maintenance
39
15% weight
Security Hygiene
81
20% weight
Schema Interpretability
61
15% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 90 | Good |
| Description Quality | 70 | Good |
| Documentation Coverage | 40 | Fair |
| Maintenance Pulse | 26 | Poor |
| Dependency Health | 30 | Poor |
| License Clarity | 100 | Good |
| Version Hygiene | — | Poor |
Analyzed 1 month ago
Protocol Compliance
Probed 1 month ago