orionbelt-analytics
io.github.ralfbecher/orionbelt-analytics · v0.5.0
Ontology-based MCP server for database schema analysis and RDF/OWL ontology generation
Install orionbelt-analytics
Ready-to-paste config for every major MCP client
claude mcp add orionbelt-analytics -- npx io.github.ralfbecher/orionbelt-analytics # or uvx io.github.ralfbecher/orionbelt-analytics for Python
Why Solid?
50-499 stars · mature enough to trust in a real workflow.
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FAQ
Auto-generated from the dataset · updated daily
What is orionbelt-analytics?
orionbelt-analytics is an MCP (Model Context Protocol) server in the Database category. Ontology-based MCP server for database schema analysis and RDF/OWL ontology generation
How is orionbelt-analytics rated?
BenchGecko rates orionbelt-analytics Solid on the Gecko Rating ladder (43/100). 50-499 stars · mature enough to trust in a real workflow. The underlying GitHub repository has 58 stars.
How do I install orionbelt-analytics?
orionbelt-analytics supports Claude Code, Cursor, Windsurf, and VS Code. Each client needs a different config format · BenchGecko shows ready-to-paste snippets for all four above. Stdio servers run locally via npx; streamable-http and SSE servers connect over the network.
See also
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