vasilyu1983

data-metabase

"Metabase REST API automation and troubleshooting: authenticate (API key preferred, session fallback), export/upsert questions (cards) and dashboards, standardize visualization_settings, and run/export results."

vasilyu1983 61 13 Updated 3mo ago
GitHub

Install

npx skillscat add vasilyu1983/ai-agents-public/data-metabase

Install via the SkillsCat registry.

SKILL.md

Metabase

Automate Metabase via API: reports (cards), dashboards, and chart settings.

Quick Start

Inputs (env vars)

  • METABASE_URL (e.g., https://metabase.example.com)
  • Preferred: METABASE_API_KEY
  • Fallback: METABASE_USERNAME + METABASE_PASSWORD

Sanity checks

python3 frameworks/shared-skills/skills/data-metabase/scripts/metabase_api.py health
python3 frameworks/shared-skills/skills/data-metabase/scripts/metabase_api.py whoami

Live API documentation

Your Metabase instance serves OpenAPI docs at /api/docs (e.g., https://metabase.example.com/api/docs). Use this to discover version-specific endpoints and request shapes.

Workflow

  1. Confirm API availability (GET /api/util/health).
  2. Authenticate with an API key (preferred) or a short-lived session (fallback).
  3. Discover IDs (prefer discovery over hardcoding across environments):
    • collection_id for where to save
    • database id for dataset_query
    • source-table / field ids if using MBQL
  4. Create/update a card:
    • Prefer native SQL for stable automation.
    • Set display + visualization_settings explicitly.
  5. Create/update a dashboard and add cards with consistent layout.
  6. Validate by running/exporting results.

Key Concepts

  • UI "Question" == API card
  • Chart configuration lives on the card as display + visualization_settings
  • Most viz keys are easiest to manage by copying from an existing card JSON, then editing

Guardrails

  • Prefer Metabase "serialization" (Pro/Enterprise) for bulk, cross-environment migrations; use direct API for incremental upserts.
  • Do not hardcode numeric IDs across environments when you can discover them or use serialization/entity IDs.
  • Never commit METABASE_API_KEY, passwords, or session tokens.
  • Prefer a dedicated, least-privileged automation account and collection.

References (read only as needed)

Topic File
Authentication (API key + fallback) references/api-auth.md
Reports (cards): create/edit patterns references/reports-cards.md
Dashboards and card placement references/dashboards.md
Charts and visualization_settings references/charts-settings.md
Embedding & external integration references/embedding-integration.md
Permissions & collections management references/permissions-collections.md
Native SQL query patterns references/native-query-patterns.md

Scripts

scripts/metabase_api.py is a small, dependency-free helper to test auth and upsert cards.

Examples:

# Print authenticated user (tries API key, then session)
python3 frameworks/shared-skills/skills/data-metabase/scripts/metabase_api.py whoami

# Export an existing card JSON (use as a template for visualization_settings)
python3 frameworks/shared-skills/skills/data-metabase/scripts/metabase_api.py export-card --id 123 --out card.json

# Export an existing dashboard JSON (use as a template for layout)
python3 frameworks/shared-skills/skills/data-metabase/scripts/metabase_api.py export-dashboard --id 5 --out dashboard.json

# Create/update a card from a JSON spec (see references/reports-cards.md)
python3 frameworks/shared-skills/skills/data-metabase/scripts/metabase_api.py upsert-card --spec card-spec.json

# Create/update a dashboard from a JSON spec (base fields only)
python3 frameworks/shared-skills/skills/data-metabase/scripts/metabase_api.py upsert-dashboard --spec dashboard-spec.json