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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.
32stars
4forks
Python
agentic-aichromadbclaude-desktopclickhousedatabricksdremiographragknowledge-graphmcpmcp-servermodel-context-protocolontology
Quality signals
ActiveNo testsNo CIThin docsNo licenseNew
AI summary
Auto-generated overview of what this skill does and when to reach for it.
MCP server that turns database schemas into RDF/OWL ontologies with SQL mappings to prevent fan-trap errors in Text-to-SQL queries.
Use this when
- you need fan-trap-free SQL from natural language
- working with PostgreSQL, Snowflake, ClickHouse, or Dremio
- debugging cryptic schema names with GraphRAG
- validating SQL before running it against the database
- building ontology-driven analytics dashboards
Don't use when
- your database isn’t supported (no connector exists)
- you only need simple CRUD queries without joins
- you can’t run a local MCP server
Capabilities
- generates RDF/OWL ontologies from 8 database types
- detects and blocks fan-trap joins in generated SQL
- validates SQL against ontology before execution (OBQC)
- GraphRAG for semantic schema discovery with 12-hop traversal
- SPARQL 1.1 interface via Oxigraph RDF store
- interactive Plotly charts via MCP-UI
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest ralfbecher/orionbelt-analyticsAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx orionbelt-analytics
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"orionbelt-analytics": {
"command": "uvx",
"args": [
"orionbelt-analytics"
]
}
}
}Loading README…
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