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Metabase + OpenAI Codex
Vamsi Peri
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We’re excited to announce that Metabase is now available as a plugin in ChatGPT and Codex, part of OpenAI’s new data analytics launch. You can now connect your Metabase instance directly to Codex, ask questions, find insights, save questions, and dashboards.
The tables and metrics curated in your Metabase’s semantic layer are now available for you to inspect, find insights, and do data analyses using OpenAI’s Codex. The answers you get in Codex reflect the trusted context you’ve already built in Metabase.
This launch is officially part of OpenAI’s new data analytics plugin, a package of industry-leading connectors verified and validated by OpenAI, for easier management of key business metrics.
What you can do
With the Metabase plugin in Codex, you can:
- Ask questions in plain language. Pose product and business questions the way you’d ask a teammate (“why did signups dip last week?”) and get answers grounded in your actual data.
- Diagnose metric movements. Dig into the why behind the numbers. Drill into the results, ask more questions using the same natural language interface and continue the analysis.
- Create dashboards and reports. Turn an exploration into a shareable dashboard or a question without leaving your workflow.
Getting started
Setup takes just a couple of minutes:
- Already on Metabase? Paste your instance MCP server’s URL into the Codex plugin and authenticate. You’ll be querying in seconds.
- New to Metabase? Download Metabase or sign-up for a cloud account and connect your data warehouse. Once your instance is running, point Codex at it the same way.
Go further
The real power comes from combining your Metabase data with the other tools your team relies on. Connect sources such as Notion, Google Docs, and Slack to give Codex richer context. When you ask Codex a question, it can pull in the relevant project doc, the Slack thread where it was discussed, or the spec that defined it. The more context you bring, the better the answers.
