orionbelt-analytics
Eliminates ambiguous SQL generation by mapping database schemas to formal ontologies, reducing fan-trap errors and hallucinated joins that break analytics qu…
Ontology-based MCP server that analyzes database schemas (PostgreSQL, Snowflake, ClickHouse, Dremio) and generates RDF/OWL ontologies with SQL mappings for fan-trap-free Text-to-SQL.
- Auto-generate accurate SQL from natural language questions on star schemas
- Map legacy database schemas to semantic ontologies for governance
- Build chatbots that query data warehouses without JOIN errors
Eliminates ambiguous SQL generation by mapping database schemas to formal ontologies, reducing fan-trap errors and hallucinated joins that break analytics queries. Enables reliable Text-to-SQL on complex multi-table databases.
Data teams and analytics engineers building LLM-powered query interfaces over PostgreSQL, Snowflake, ClickHouse, or Dremio who need guaranteed semantic correctness.
https://github.com/ralfbecher/orionbelt-analytics
By ralfbecher
How to Get It
claude plugins install ralfbecher/orionbelt-analytics
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After installing, paste this into Claude:
Help me auto-generate accurate SQL from natural language questions on star schemas
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Reviewer notes
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Scored from trust signals (evidence-eval-v1): 45 GitHub stars; 2 contributors; last commit 4d ago; license no license.
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Evaluation
Scored from trust signals (evidence-eval-v1): 45 GitHub stars; 2 contributors; last commit 4d ago; license no license.