Open-source Semantic Sidecar for AI, analytics, and governed data systems. Compiles declarative YAML models into opti...
Copy the install, test the workflow, then decide if it earns a permanent slot.
The signal is softer here. Treat it like a pattern source unless it solves a very specific gap.
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.
GitHub health unknown. no security policy. 0 open issues make this testable, but not something to trust blind.
AI Agent
Universal
Model
Multiple
Fastest way to find out if orionbelt-semantic-layer 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-semantic-layer-2 -- npx orionbelt-semantic-layer-2Run this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove orionbelt-semantic-layer-2No messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ orionbelt-semantic-layer-2 ← registers here
Open-source Semantic Sidecar for AI, analytics, and governed data systems. Compiles declarative YAML models into optimized SQL, semantic context, KPIs, and DQ rules.