metabase-schema

Explore Metabase-connected database schemas, tables, and field metadata.

Updated Mar 29, 2026
One-click install
npx skills add https://github.com/tecnologia-ibtech/geo-codex --skill metabase-schema
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: metabase-schema
Source: https://github.com/tecnologia-ibtech/geo-codex/tree/main/geo-metabase/skills/metabase-schema
Command: npx skills add https://github.com/tecnologia-ibtech/geo-codex --skill metabase-schema

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Discover and understand the data structures behind Metabase-connected databases, tables, and fields to plan accurate queries with confidence.

Core Features & Use Cases

  • Discover connected databases and their schemas, including IDs and names.
  • Inspect tables, columns, and data types, including foreign keys, to map relationships.
  • Plan queries and validate schemas before executing analytics workflows in Metabase.

Quick Start

Query the Metabase Schema to list databases, then inspect a table’s metadata to reveal fields and types.

Frequently Asked Questions about metabase-schema

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I explore Metabase database schemas before writing queries?

To explore Metabase database schemas, you can use the metabase-schema Skill to enumerate connected databases, list available tables, and inspect column data types. This schema discovery process reveals metadata and foreign keys to help you map relationships and plan accurate queries.

Can I inspect table columns and foreign keys in Metabase?

Yes, you can inspect table columns and foreign keys in Metabase. The Skill maps table metadata to reveal field names, data types, and relational structures, allowing you to validate data structures and understand table relationships before executing your analytics workflows.

Do I need a Metabase API key to discover database metadata?

Yes, you need a METABASE_API_KEY to discover database metadata. This key authorizes the Skill to connect via MCP integration, enabling it to securely enumerate your connected databases, tables, and field metadata for informed query planning.

What is the best way to validate data structures for Metabase analytics?

The best way to validate data structures for Metabase analytics is to query the Metabase metadata directly. By discovering connected databases and mapping schemas, you can confirm table names, column types, and foreign keys to ensure your planned queries match the actual underlying structure.

How does MCP integration work with Metabase schema discovery?

MCP integration works with Metabase schema discovery by using your METABASE_API_KEY to connect and enumerate database, table, and field metadata. This mechanism exposes the underlying data structures so you can map relationships and validate schemas before querying.