orionbelt-analytics

by ralforion · MCP Server · ★ 35

About orionbelt-analytics

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

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Quick Facts

Stars35
Forks4
LanguagePython
CategoryMCP Server
Quality Score67.7833156959729/100
Last Updated2026-06-26
Created2026-02-11
Platformsclaude-code, cli, mcp, python
Est. Tokens~17k

Compatible Skills

These tools work well together with orionbelt-analytics for enhanced workflows:

  • mykg — semantic(0.36)+complementary+rare_topics+same_lang+similar_pop+shared_platform (76%)
  • orionbelt-analytics — semantic(1.00)+rare_topics+same_lang+similar_pop+shared_platform (70%)
  • databao-context-engine — semantic(0.30)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)
  • snowflake-ai-kit — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)

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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 35 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/ralforion/orionbelt-analytics. The project has 35 stars and 4 forks, indicating an active community.

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