data-metabase

Installation
SKILL.md

Metabase Automation

Automate Metabase content, promotion, embedding, and admin refresh workflows.

Classic Metabase REST API still owns cards, dashboards, collections, permissions, and schema refresh operations. The newer Agent API is the right surface for headless semantic BI assistants and app-side AI workflows. Metabase v60 (April 2026) added an official MCP server and open-sourced AI; v61 (May 2026) added AI governance, dashboards-as-code via MCP, and per-group Metabot controls. v62 (June 2026, current line) added the official @metabase/cli, an Interactive Schema Viewer, a custom-visualization plugin SDK, an Alert Management hub, Library sub-collections, and expanded MCP capabilities — run SQL, create collections, and render interactive charts directly in the AI client. Verify /docs/latest and metabase.com/releases before citing version-specific behavior, since the release cadence is monthly.

Quick Reference

Task Path Use When
Create/update questions and dashboards Classic REST API + scripts/metabase_api.py Standard content automation and incremental upserts
Promote content between environments Remote Sync or serialization Git-backed promotion, reviewable diffs, cross-environment moves
Build embedded customer analytics Embedding + tenants + embedding permissions Multi-tenant apps, customer portals, row-level isolation
Build an AI analytics app Agent API Versioned, semantic, app-side AI querying
Integrate Metabase with an AI coding agent MCP server (v60+) Claude, Cursor, VS Code — generate questions and dashboards via conversation
Govern AI access by group Metabot AI governance (v61+, Pro/Enterprise) Per-group controls, token limits, usage analytics
Refresh schema metadata Database sync/rescan endpoints New tables, changed columns, stale field values
Tune native SQL questions Export-first + native query patterns Stable automation without guessing request shapes
Installs
147
GitHub Stars
79
First Seen
Jan 26, 2026
data-metabase — vasilyu1983/ai-agents-public