API-first semantic engine and query planner for AI agents that compiles declarative YAML models into optimized, diale...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Strong idea surface, weaker maintenance signal. Steal the pattern before you commit.
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. Archived repo plus maintenance drag means copy patterns, not the whole tool.
AI Agent
Universal
Model
Multiple
Build Time
Instant
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 -- npx orionbelt-semantic-layerRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove orionbelt-semantic-layerNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ orionbelt-semantic-layer ← registers here
API-first semantic engine and query planner for AI agents that compiles declarative YAML models into optimized, dialect-specific SQL across BigQuery, PostgreSQL, Snowflake, ClickHouse, Dremio, Databricks, DuckDB, and MySQL.