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io.github.ralfbecher/orionbelt-analytics

OrionBelt Analytics is an MCP server that analyzes relational database schemas and generates RDF/OWL ontologies with embedded SQL mappings. It provides relationship-aware Text-to-SQL with automatic fan-trap prevention, GraphRAG for intelligent schema discovery, and interactive charting -- all accessible through any MCP-compatible AI client.

python Developer Tools by ralfbecher ★ 3 Last commit: 2 months, 4 weeks ago
GitHub
Complete visibility — 5/4 applicable dimensions scored
✓ Schema Quality ✓ Protocol — Reliability ✓ Docs & Maintenance ✓ Security Hygiene ✓ Schema Interpretability
Schema Quality
94
25% weight
Protocol Compliance
36
20% weight
Reliability
20% weight
Docs & Maintenance
71
15% weight
Security Hygiene
95
20% weight
Schema Interpretability
92
15% weight
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Static Analysis

Metric Score Rating
Schema Completeness 90 Good
Description Quality 100 Good
Documentation Coverage 63 Fair
Maintenance Pulse 71 Good
Dependency Health 55 Fair
License Clarity 100 Good
Version Hygiene 80 Good
Analyzed 2 months, 4 weeks ago
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