Orionbelt Analytics

Orionbelt Analytics

Ontology-powered Text-to-SQL MCP server with robust SQL validation.

Visit Orionbelt Analytics

About Orionbelt Analytics

OrionBelt Analytics is an ontology-based Model Context Protocol (MCP) server designed to bridge natural language (Text-to-SQL) with complex relational databases. It automatically analyzes relational schemas, generates RDF/OWL ontologies with SQL mappings, and provides relationship-aware Text-to-SQL translation with deterministic SQL validation (OBQC). Supporting multiple modern database backends, it empowers AI clients to securely and verifiably query, validate, and visualize enterprise data with advanced charting, GraphRAG-powered schema discovery, and multi-schema analytics.

Resources

Product Website

Visit Orionbelt Analytics's official website for product details and getting started.

Visit website →

Documentation

Comprehensive guide on how to install, configure, and use Orionbelt Analytics, including API references.

View docs →

Community Forum

Join discussions with other users and developers of Orionbelt Analytics to share insights and get support.

Join community →

Example Projects

Explore sample projects utilizing Orionbelt Analytics to understand implementation and best practices.

See examples →

Examples

Find example use cases and implementations of Orionbelt Analytics.

View examples →