orionbelt-semantic-layer — MCP Server by ralforion

by ralforion · MCP Server · ★ 57

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About orionbelt-semantic-layer

Open-source Semantic Sidecar for AI, analytics, and governed data systems. Compiles declarative YAML models into optimized SQL, semantic context, KPIs, and DQ rules.

agentic-aianalytics-as-codebigquerybusiness-intelligenceclickhousedata-analyticsdatabricksdremioduckdbheadless-bi

Quick Facts

Stars57
Forks7
LanguagePython
CategoryMCP Server
Quality Score34.25/100
Open Issues2
Last Updated2026-06-20
Created2026-02-10
Platformscli, mcp, python
Est. Tokens~13k

Compatible Skills

These tools work well together with orionbelt-semantic-layer for enhanced workflows:

  • databao-context-engine — semantic(0.54)+complementary+rare_topics+same_lang+similar_pop+shared_platform (79%)
  • orionbelt-semantic-layer — semantic(1.00)+rare_topics+same_lang+similar_pop+shared_platform (70%)
  • sidemantic — semantic(0.53)+rare_topics+same_lang+similar_pop+shared_platform (63%)

orionbelt-semantic-layer alternative? Top 6 similar tools

Looking for a orionbelt-semantic-layer alternative? If you're comparing orionbelt-semantic-layer with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • orionbelt-semantic-layer by ralfbecher · ⭐ 56

    Open-source Semantic Sidecar for AI, analytics, and governed data systems. Compiles declarative YAML models in

  • sidemantic by sidequery · ⭐ 100

    The universal metrics layer. Compatible with 15+ formats: Cube, MetricFlow, LookML, Omni, BSL, LDM, Cortex, Ma

  • databao-context-engine by JetBrains · ⭐ 80

    Databao Context Engine is an open-source engine that automatically generates a governed semantic context from

  • MCP-PostgreSQL-Ops by call518 · ⭐ 150

    🐘 Give AI assistants full PostgreSQL DBA superpowers — 30+ tools for performance analysis, bloat detection, l

  • hyperterse by hyperterse · ⭐ 80

    The agentic server framework.

  • dremio-mcp by dremio · ⭐ 52

    Dremio MCP server

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Frequently Asked Questions

What is orionbelt-semantic-layer?

orionbelt-semantic-layer is Open-source Semantic Sidecar for AI, analytics, and governed data systems. Compiles declarative YAML models into optimized SQL, semantic context, KPIs, and DQ rules.. It is categorized as a MCP Server with 57 GitHub stars.

What programming language is orionbelt-semantic-layer written in?

orionbelt-semantic-layer is primarily written in Python. It covers topics such as agentic-ai, analytics-as-code, bigquery.

How do I install or use orionbelt-semantic-layer?

You can find installation instructions and usage details in the orionbelt-semantic-layer GitHub repository at github.com/ralforion/orionbelt-semantic-layer. The project has 57 stars and 7 forks, indicating an active community.

What are the best alternatives to orionbelt-semantic-layer?

The top alternatives to orionbelt-semantic-layer on Agent Skills Hub include orionbelt-semantic-layer, sidemantic, databao-context-engine. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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