69
/100
C
◉ Complete 5⁄5
Oxide
Intelligent LLM orchestrator that automatically routes tasks to the most appropriate AI model (Gemini, Qwen, Ollama, LM Studio) based on task characteristics, enabling distributed processing and parallel execution across local and network services.
Google Gemini
Ollama
Glama
Outdated MCP Spec
Complete visibility
— 5/5 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
84
25% weight
Protocol Compliance
43
20% weight
Reliability
—
20% weight
Docs & Maintenance
37
15% weight
Security Hygiene
80
20% weight
Schema Interpretability
92
15% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 80 | Good |
| Description Quality | 90 | Good |
| Documentation Coverage | 37 | Poor |
| Maintenance Pulse | 50 | Fair |
| Dependency Health | 75 | Good |
| License Clarity | — | Poor |
| Version Hygiene | — | Poor |
Analyzed 4 weeks, 2 days ago
Add this to your README to display your MCP Scoreboard grade:
