
Ontology-powered Text-to-SQL MCP server with robust SQL validation.
Visit Orionbelt AnalyticsOrionBelt 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.
Visit Orionbelt Analytics's official website for product details and getting started.
Comprehensive guide on how to install, configure, and use Orionbelt Analytics, including API references.
Join discussions with other users and developers of Orionbelt Analytics to share insights and get support.
Explore sample projects utilizing Orionbelt Analytics to understand implementation and best practices.
Find example use cases and implementations of Orionbelt Analytics.