orionbelt-semantic-layer

by ralforion · Databases · ★ 101

orionbelt-semantic-layer is an MCP server by ralforion. Source-available semantic and context layer, rule engine, and semantic sidecar for agentic AI and governed analytics. Compiles declarative YAML models into optimized SQL, KPIs, and semantic context across 8 SQL dialects. It has 101 GitHub stars and ranks #147 of 630 in Databases by stars.

Category: Databases
Author: ralforion
GitHub stars: 101
This week: Tracking since 18 Oct 2026
Language: Python
License: Other
Last update: 2026-10-24 (today)
Links: Source Website

agentic-ai
analytics-as-code
bigquery
business-intelligence
clickhouse
data-analytics
databricks
dremio
duckdb
headless-bi
mcp
mcp-server
+8 more

How to install orionbelt-semantic-layer

Install steps differ per project, so follow the README in the orionbelt-semantic-layer repository. Most MCP servers start with a single command (npx -y <package>, uvx <package> or a Docker image) that you add to your client's config. The install guide shows where that goes in Claude Code, Claude Desktop, Cursor and VS Code.

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Frequently asked questions

What is orionbelt-semantic-layer?

orionbelt-semantic-layer is an MCP server by ralforion in the Databases category. Source-available semantic and context layer, rule engine, and semantic sidecar for agentic AI and governed analytics. Compiles declarative YAML models into optimized SQL, KPIs, and semantic context across 8 SQL dialects. It has 101 GitHub stars and ranks #147 of 630 in Databases by stars.

Is orionbelt-semantic-layer free and open source?

orionbelt-semantic-layer lists its license as Other. Read the license text in the repository before using it in a commercial product, and check whether the service it connects to charges for API access.

What are the alternatives to orionbelt-semantic-layer?

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