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orionbelt-analytics

Active·★ 32·NOASSERTION·Updated 2026-05-27
★ Trending★ Observability★ Data Processing

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.

OrionBelt Analytics is an MCP server that analyzes relational database schemas and generates RDF/OWL ontologies with embedded SQL mappings. It provides relationship-aware Text-to-SQL with automatic fan-trap prevention, GraphRAG for intelligent schema discovery, and interactive charting, all accessible through any MCP-compatible AI client.

#agentic#agentic-ai#ai-analytics#claude-desktop#clickhouse#dremio#knowledge-graph#mcp
$ Install
$ git clone https://github.com/ralfbecher/orionbelt-analytics && cd orionbelt-analytics && uv sync
↗ Visit site★ GitHub
01

Features

01Supports 8 database connectors (PostgreSQL, MySQL, Snowflake, ClickHouse, Dremio, BigQuery, DuckDB, Databricks SQL)
02Generates RDF/OWL ontologies with SQL mapping annotations and R2RML mappings
03GraphRAG with graph traversal (up to 12 hops) and ChromaDB vector embeddings
04Automatic fan-trap detection and safe query pattern suggestions
05Interactive Plotly charting with MCP-UI rendering
02

Compatibility

PostgreSQL
PostgreSQL
Verified via docs
MySQL
MySQL
Verified via docs
Snowflake
Snowflake
Verified via docs
ClickHouse
ClickHouse
Verified via docs
Dremio
Dremio
Verified via docs
BigQuery
BigQuery
Verified via docs
03

Quick start

1
$ git clone https://github.com/ralfbecher/orionbelt-analytics
2
$ cd orionbelt-analytics
3
$ uv sync
04

Use cases

↳Natural language querying of relational databases via Text-to-SQL
↳Semantic schema discovery and ontology generation for data governance
↳Data visualization and exploration with interactive charts
05

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Related searches

orionbelt-analytics AlternativesBest Dev Tooling Tools 2026Open Source Dev Toolingorionbelt-analytics Tutorialorionbelt-analytics Vs Competitorsagenticagentic-aiai-analytics

Comments

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  • J
    Jamie BrownMay 20, 2026

    Ontology-based schema analysis for PostgreSQL and Snowflake surfaces relationships that SQL alone misses.

  • J
    Justice JohnsonApr 15, 2026

    Good for data teams who want AI to understand the semantic meaning behind their schemas.

  • H
    Hayden AndersonMar 12, 2026

    Natural language queries over complex schemas work better with this ontology layer.

  • P
    Parker ChenMar 4, 2026

    Useful for data catalog and documentation automation workflows.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 32
Last commit3d ago
StatusActive
LicenseNOASSERTION
CategoryDev Tooling
Trend (30d)
+1.2↑ 0.7%
Links
Documentation↗Discussion↗Issues↗Releases↗

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