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ralforion

orionbelt-analytics

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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.

46 stars PythonOthers Updated Aug 31, 2026
mcpmcp-servermodel-context-protocolontologypostgresqlrdfsemantic-layersnowflaketext-to-sqlclickhousedremioagentic-aiclaude-desktopknowledge-graphr2rmlchromadbgraphragdatabricksowlsparql

No README could be loaded. View the project on GitHub for full documentation.

Frequently asked questions

What is orionbelt-analytics?

orionbelt-analytics is 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.

How do I install orionbelt-analytics?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is orionbelt-analytics open source?

Yes — it is hosted on GitHub at https://github.com/ralforion/orionbelt-analytics and has 46 stars.

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