48
/100
D
◐ Assessed 4⁄4
Lakeflow MCP Server
Enables AI agents to manage Databricks Lakeflow jobs by building and uploading Python wheels and triggering runs with specific arguments. It provides a structured way to orchestrate complex data experiments and monitor execution directly on Databricks clusters.
Glama
Assessed visibility
— 4/4 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
— Schema Interpretability
Schema Quality
42
25% weight
Protocol Compliance
38
20% weight
Reliability
—
20% weight
Docs & Maintenance
35
15% weight
Security Hygiene
76
20% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 40 | Fair |
| Description Quality | 45 | Fair |
| Documentation Coverage | 30 | Poor |
| Maintenance Pulse | 45 | Fair |
| Dependency Health | 50 | Fair |
| License Clarity | — | Poor |
| Version Hygiene | — | Poor |
Analyzed 1 month, 1 week ago
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