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Orionbelt Semantic Layer MCP Server

local only

Orionbelt Semantic Layer runs on your own machine — the client starts it, so there is no endpoint to ping. 626 installs a week from pypi. Last commit 6 Nov 2026.

API-first semantic layer MCP server compiling YAML models into dialect-specific SQL

Installs per day peak 919 · avg 189 · -67% w/w
a month agotoday
626
Installs / week
pypi · orionbelt-semantic-layer
103
Stars
0 open issues
6 Nov 2026
Last commit
from GitHub
—
License
Python

What changed 1

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 9 August 2026. No other catalogue keeps this.

9 Aug the owner changed

What the code does

We read the source, 22 h ago · rules 995398eba69f

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

        directory = os.path.join(self._results_dir, prefix, safe)
    return pin_decimal_digits(yaml.load(text, Loader=_DigitKeepingSafeLoader))

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add orionbelt-semantic-layer -- uvx orionbelt-semantic-layer
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "orionbelt-semantic-layer": {
      "command": "uvx",
      "args": [
        "orionbelt-semantic-layer"
      ]
    }
  }
}
~/.codex/config.toml
[mcp_servers.orionbelt-semantic-layer]
command = "uvx"
args = ["orionbelt-semantic-layer"]
.cursor/mcp.json
{
  "mcpServers": {
    "orionbelt-semantic-layer": {
      "command": "uvx",
      "args": [
        "orionbelt-semantic-layer"
      ]
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "orionbelt-semantic-layer": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "orionbelt-semantic-layer"
      ]
    }
  }
}

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Orionbelt Semantic Layer — questions

Answers built from our own checks of this server.

Why is there no uptime for Orionbelt Semantic Layer?
Orionbelt Semantic Layer runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package orionbelt-semantic-layer was installed 626 times last week.
How do I connect Orionbelt Semantic Layer?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls orionbelt-semantic-layer straight from pypi; nothing to host, nothing to sign up for.
How many people use Orionbelt Semantic Layer?
The pypi package orionbelt-semantic-layer was installed 626 times in the last week. Week over week that is -67%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Orionbelt Semantic Layer open source?
We cannot say either way: written in Python and 103 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.