mcp-server

Sidemantic: Unified Metrics

Get a universal metrics layer with Sidemantic, for startup founders needing data engineering and analytics solutions with support for 15+ formats.
117 stars12 forksPythonGuide quality 9/10Updated 8/27/2026100% free · open source
What it does

Sidemantic provides a universal metrics layer, allowing startup founders to unify their data engineering and analytics solutions across 15+ formats

When to use it
  • When you need to integrate multiple data sources and formats into a single analytics pipeline
  • When your startup requires a standardized metrics layer for consistent reporting and analysis
  • When you want to support various data formats like Cube, MetricFlow, and LookML in your application
Ready-to-paste prompt
sidemantic query --format cube 'SELECT * FROM my_metric'
Heads up: Ensure you have Python 3.8 or later installed, as Sidemantic requires this version for compatibility
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/sidemantic && curl -fsSL https://workflowstacks.com/api/skills/sidemantic/claude-skill -o ~/.claude/skills/sidemantic/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions
Details
Creator
sidequery
Language
Python
Category
mcp-server
Published
10/4/2025

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