30
/100
F
◐ Assessed 4⁄4
RLM MCP Server
Enables the analysis of massive datasets by storing data in external variables via a sandboxed Python REPL instead of the model's context window. This allows users to process files larger than 100MB without polluting the context or hitting token limits.
Glama
Outdated MCP Spec
Prompt Injection Risk
Assessed visibility
— 4/4 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
— Schema Interpretability
Schema Quality
90
25% weight
Protocol Compliance
41
20% weight
Reliability
—
20% weight
Docs & Maintenance
35
15% weight
Security Hygiene
77
20% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 100 | Good |
| Description Quality | 75 | Good |
| Documentation Coverage | 45 | Fair |
| Maintenance Pulse | 45 | Fair |
| Dependency Health | 55 | Fair |
| License Clarity | — | Poor |
| Version Hygiene | — | Poor |
Analyzed 1 month, 1 week ago
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