orionbelt-analytics

by ralfbecher · MCP Server · ★ 27

About orionbelt-analytics

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.

agenticagentic-aiai-analyticsclaude-desktopclickhousedremioknowledge-graphmcpmcp-servermodel-context-protocol

Quick Facts

Stars27
Forks4
LanguagePython
CategoryMCP Server
Quality Score35.75/100
Last Updated2026-05-03
Created2026-02-11
Platformsclaude-code, cli, mcp, python
Est. Tokens~133k

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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.. It is categorized as a MCP Server with 27 GitHub stars.

What programming language is orionbelt-analytics written in?

orionbelt-analytics is primarily written in Python. It covers topics such as agentic, agentic-ai, ai-analytics.

How do I install or use orionbelt-analytics?

You can find installation instructions and usage details in the orionbelt-analytics GitHub repository at github.com/ralfbecher/orionbelt-analytics. The project has 27 stars and 4 forks, indicating an active community.

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