Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"orionbelt": {
"args": [
"orionbelt-semantic-layer-mcp"
],
"command": "uvx"
}
}
}Are you the author?
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OrionBelt Semantic Layer is an API-first semantic engine and query planner for AI agents that compiles and executes declarative YAML model definitions as optimized SQL for BigQuery, ClickHouse, Databricks, Dremio, DuckDB/MotherDuck, MySQL, Postgres, and Snowflake. Query using business concepts — dimensions, measures, and metrics — instead of raw SQL.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'orionbelt-semantic-layer' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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No known CVEs.
Checked orionbelt-semantic-layer against OSV.dev.
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An Open Source Semantic Sidecar for Agentic AI, Analytics, Quality and Governance Systems.
Inject governed semantics into systems that never had them.
OrionBelt Semantic Layer (OBSL) is an open-source Semantic Sidecar for AI, analytics, and governed data systems. It injects governed business semantics into existing platforms without requiring architecture changes or dedicated semantic infrastructure.
Define dimensions, measures, metrics, business rules, and semantic context in declarative YAML models. OBSL compiles and executes them as optimized, dialect-specific SQL across BigQuery, ClickHouse, Databricks, Dremio, DuckDB/MotherDuck, MySQL, PostgreSQL, and Snowflake.
Query using business concepts instead of raw schemas and SQL. The same semantic model can power AI agents, analytics workflows, data quality checks, regulatory and business KPIs,