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Orionbelt Analytics MCP server

by ralfbecher·io.github.ralfbecher/orionbelt-analytics·v0.5.0·48 stars
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Ontology-based MCP server for database schema analysis and RDF/OWL ontology generation

A94/100grade A
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Safety scan
A94/100

full report

Adoption
Growing

48 stars

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If you have run it, two minutes of your experience saves the next person an afternoon.

Orionbelt Analytics tools (13, 1 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • analyze_schema
  • apply_semantic_names

    Apply LLM-suggested semantic names to an existing ontology.

  • connect_database

    Connect to a database using credentials from environment variables.

  • execute_sql_querywrite action
  • generate_chart
  • generate_ontology

    Generate an RDF ontology from database schema. AUTO-ANALYZES schema if needed!

  • get_server_info

    Get information about the MCP server and its capabilities.

  • list_schemas

    Get a list of available schemas from the connected database.

  • load_my_ontology

    Load the newest .ttl ontology file from the import folder to use in context.

  • reset_cache

    Reset cached schema and/or ontology data to force re-analysis.

  • sample_table_data

    Sample data from a specific table for analysis.

  • suggest_semantic_names

    Extract and analyze names from a generated ontology to identify abbreviations and cryptic names.

  • validate_sql_syntax

Public scan report

scanner v0.1.10 · 2026-09-28 · same rubric, same numbers if you re-run it

no findings
  • Code scan30 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 0 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Overall 94/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

Install Orionbelt Analytics in Claude Code, Cursor or VS Code

claude mcp add orionbelt-analytics -- uvx orionbelt-analytics
Add to Cursor

What the publisher says

From the Orionbelt Analytics repository's README, as published. We do not edit it. Read it on GitHub

<!-- mcp-name: io.github.ralforion/orionbelt-analytics -->

OrionBelt® Analytics

The Ontology-based MCP server for your Text-2-SQL convenience.

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.

The OrionBelt Ecosystem

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Orionbelt Analytics: common questions

Is Orionbelt Analytics MCP server safe?
Yes, by our scan: it is graded A (94/100). Read the Orionbelt Analytics safety report
How do I install Orionbelt Analytics?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Orionbelt Analytics need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Orionbelt Analytics maintained?
The last commit was 15 days ago (2026-09-28). The latest release is v0.5.0.
What can I use instead of Orionbelt Analytics?
Servers from other publishers that do the same job: Airtable MCP server, LINQ to DB MCP server and Rebase MCP server. Compare all Orionbelt Analytics alternatives.

Alternatives to Orionbelt Analytics

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