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.
Last commit July 15, 2026, 120 days ago.
42 GitHub stars and 0 Honeystax upvotes. Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
Starts at 6. Added: last commit 120 days ago +14, GitHub health 37/100 +22, no security policy +8, no contributing guide +4, no code of conduct +3.
AI Agent
Universal
Model
Multiple
Fastest way to find out if orionbelt-analytics belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add orionbelt-analytics -- npx orionbelt-analyticsRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove orionbelt-analyticsNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ orionbelt-analytics ← registers here
orionbelt-analytics is listed on Honeystax as a MCP Server for Universal, since May 27, 2026. Its code is at github.com/ralfbecher/orionbelt-analytics, with 42 GitHub stars and 0 open issues. Last commit July 15, 2026, 120 days ago. GitHub's community health check gives it 37 out of 100.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: July 15, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.