orionbelt-analytics

by ralfbecher · MCP Server · ★ 32

About orionbelt-analytics

OrionBelt Analytics The Ontology-based MCP server for your Text-2-SQL convenience. [![Dremio](https://img.shields.io

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Quick Facts

Stars32
Forks4
LanguagePython
CategoryMCP Server
Quality Score67.7833156959729/100
Last Updated2026-06-10
Created2026-02-11
Platformsclaude-code, cli, mcp, python
Est. Tokens~173k

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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 32 GitHub stars.

What programming language is orionbelt-analytics written in?

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

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 32 stars and 4 forks, indicating an active community.

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