# orionbelt-semantic-layer-mcp

> Use this tool when you need to enable large language models (LLMs) to interact with governed semantic models and execute analytics queries via natural language, or when you want to compile YAML metric definitions into optimized SQL across multiple database engines. It takes in natural language queries and YAML definitions as input and outputs optimized SQL queries and analytics results. Ideal for use cases where LLMs need to explore complex data models and perform analytics tasks across various databases, including BigQuery, ClickHouse, and Snowflake.

Canonical page: https://skillsregistry.net/skills/ralforion-orionbelt-semantic-layer-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ralforion-orionbelt-semantic-layer-mcp

## Description

MCP server for the OrionBelt Semantic Layer. Enables LLMs to explore governed semantic models, compile YAML metric definitions into optimized SQL across 8 engines (BigQuery, ClickHouse, Databricks, Dremio, DuckDB, MySQL, PostgreSQL, Snowflake), and execute analytics queries via natural language. Works with Claude, Cursor, Windsurf, and Copilot.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wsxnsj19bm)
- **Repository:** <https://github.com/ralforion/orionbelt-semantic-layer-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ralforion-orionbelt-semantic-layer-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ralforion-orionbelt-semantic-layer-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ralforion-orionbelt-semantic-layer-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt