orionbelt-analytics

by ralforion · MCP Server · ★ 50

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.

agentic-aichromadbclaude-desktopclickhousedatabricksdremiographragknowledge-graphmcpmcp-server

Quick Facts

Stars50
Forks7
LanguagePython
CategoryMCP Server
Quality Score35.75/100
Last Updated2026-10-19
Created2026-02-11
Platformsclaude-code, cli, mcp, python
Est. Tokens~361k

Compatible Skills

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

  • session-graph — semantic(0.29)+complementary+rare_topics+same_lang+similar_pop+shared_platform (69%)
  • text2sql-framework — semantic(0.37)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)
  • orionbelt-semantic-layer — semantic(0.40)+rare_topics+same_lang+similar_pop+shared_platform (59%)
  • trustgraph — semantic(0.26)+complementary+rare_topics+same_lang+shared_platform (59%)

More MCP Server Tools

Explore other popular mcp server tools:

View all MCP Server tools →

Popular Python Agent Tools

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 50 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 50 stars and 7 forks, indicating an active community.

View on GitHub → Browse MCP Server tools