62
/100
C
◐ Assessed 4⁄4
LW MCP Agents
A lightweight framework for building and orchestrating AI agents through the Model Context Protocol, enabling users to create scalable multi-agent systems using only configuration files.
Glama
Assessed visibility
— 4/4 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
— Schema Interpretability
Schema Quality
86
25% weight
Protocol Compliance
31
20% weight
Reliability
—
20% weight
Docs & Maintenance
40
15% weight
Security Hygiene
81
20% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 100 | Good |
| Description Quality | 65 | Fair |
| Documentation Coverage | 50 | Fair |
| Maintenance Pulse | 20 | Poor |
| Dependency Health | 30 | Poor |
| License Clarity | 100 | Good |
| Version Hygiene | — | Poor |
Analyzed 1 month, 1 week ago
Add this to your README to display your MCP Scoreboard grade:
