Ontology-based MCP server for database schema analysis and RDF/OWL ontology generation
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"OrionBelt-Analytics": {
"args": [
"mcp-remote",
"http://localhost:9000/mcp",
"--transport",
"http-only"
],
"command": "npx"
}
}
}Are you the author?
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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.
No automated test available for this server. Check the GitHub README for setup instructions.
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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.
| Project | Purpose |
|---|---|
| OrionBelt Analytics (this) | Schema analysis, ontology generation, GraphRAG, Text-to-SQL |
| OrionBelt Semantic Layer | Declarative YAML models compiled into dialect-specific, fan-trap-free SQL |
| OrionBelt Ontology Builder | Visual OWL ontology editor with reasoning and graph visualization (live demo) |
| OrionBelt Chat |