orionbelt-analytics

ralfbecher/orionbelt-analytics
★ 32 stars Python Database Updated 7d ago
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.
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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "orionbelt-analytics": {
      "command": "uvx",
      "args": [
        "orionbelt-analytics"
      ]
    }
  }
}

Or install with pip: pip install orionbelt-analytics

README Excerpt

<!-- mcp-name: io.github.ralfbecher/orionbelt-analytics --> <p align="center"> <img src="https://raw.githubusercontent.com/ralfbecher/orionbelt-analytics/main/assets/ORIONBELT_Logo.png" alt="OrionBelt Logo" width="400"> </p> <h1 align="center">OrionBelt Analytics</h1> <p align="center"><strong>The Ontology-based MCP server for your Text-2-SQL convenience.</strong></p>

Tools (20)

add_rdf_knowledgeapply_semantic_namescleanup_workspaceconnect_databasediscover_schemadownload_artifactexecute_sql_querygenerate_chartgenerate_ontologyget_semantic_modelget_server_infoget_table_detailsgraphrag_find_join_pathgraphrag_query_contextgraphrag_searchlist_schemaslist_semantic_modelsload_my_ontologyquery_sparqlreset_cache

Topics

agentic-aichromadbclaude-desktopclickhousedatabricksdremiographragknowledge-graphmcpmcp-servermodel-context-protocolontologyowlpostgresqlr2rml
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