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MCP server · RAG

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.

39Low

Scored 3 months ago · breakdown

About Orionbelt Analytics

Orionbelt Analytics is an MCP server in the RAG category: 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.

Install

From source
git clone https://github.com/ralforion/orionbelt-analytics

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (6)

cleanup_workspaceDelete all workspace files for the current connection and start fresh

Parameters not published.

connect_databaseConnect to any supported database using `.env` credentials

Parameters not published.

discover_schemaAnalyze schema structure with automatic GraphRAG + ontology generation

Parameters not published.

get_table_detailsGet detailed column, key, and constraint info for a specific table

Parameters not published.

list_schemasList available schemas in the connected database

Parameters not published.

reset_cacheClear cached schema and ontology data for the current session

Parameters not published.

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Questions

About Orionbelt Analytics

How do I install Orionbelt Analytics?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Orionbelt Analytics safe to use with an AI agent?

Its trust score is 39 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Orionbelt Analytics still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.