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orionbelt-semantic-layer MCP Server

ralforion/orionbelt-semantic-layer

Score: 78.9 Rank #2232 Database
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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.

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Overview

ralforion/orionbelt-semantic-layer is a Python tool. 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. Topics: clickhouse, databricks, dremio, mcp, postgresql, semantic-layer, snowflake, yaml, mcp-server, business-intelligence, data-analytics, agentic-ai, bigquery, duckdb, mysql, semantic-sidecar, analytics-as-code, headless-bi, metrics-layer, text-to-sql.

Ranked #2232 out of 24846 indexed tools.

In the top 9% of all indexed tools.

Ecosystem

Python NOASSERTION 234 pypi/wk
clickhousedatabricksdremiomcppostgresqlsemantic-layersnowflakeyamlmcp-serverbusiness-intelligencedata-analyticsagentic-aibigqueryduckdbmysqlsemantic-sidecaranalytics-as-codeheadless-bimetrics-layertext-to-sql

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 100

100 stars → early stage

Freshness 25% 29d ago

Last commit 29d ago → recently updated

Issue Health 25% 98%

56/57 issues closed → responsive maintainer

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads 13% 234/wk

234 weekly installs → early adoption

Forks 11
Description Detailed
License NOASSERTION

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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AgentRank score for ralforion/orionbelt-semantic-layer
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Matched Queries

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From the README

<p align="center">
  
</p>

<h1 align="center">OrionBelt&reg; Semantic and Context Layer, Rule Engine, and Semantic Sidecar</h1>

<p align="center"><strong>Define your metrics once in YAML. Let agents and BI tools query them without ever touching your schema.</strong></p>

<p align="center">A <a href="https://ralforion.com/semantic-sidecar.html">semantic sidecar</a>: it rides alongside the systems you already run instead of replacing them.</p>

<p align="center">
<a href="https://orionbelt.ralforion.com/ui/?__theme=dark"></a>
</p>

<p align="center">
<a href="https://github.com/ralforion/orionbelt-semantic-layer/releases"></a>
<a href="https://pypi.org/project/orionbelt-semantic-layer/"></a>
<a href="https://hub.docker.com/r/ralforion/orionbelt-semantic-layer-api"></a>
<a href="https://www.python.org/downloads/"></a>
<a href="https://github.com/ralforion/orionbelt-semantic-layer/blob/main/LICENSE"></a>
</p>

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Ask an LLM to write SQL against a raw star schema and sooner or later it 
Read full README on GitHub →

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