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.
Still active enough to matter. Good candidate for a fast stack test instead of a long evaluation loop.
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 37/100. no security policy. 1 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.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: July 16, 2026
Repository state: Not marked archived
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