Deepnote is now in OpenAI Codex
Codex now connects natively to your Deepnote workspace. The context your team has already built — notebooks, scheduled analyses, data apps, and integrations — is available to Codex directly, so any exploration starts from your real work.
Watch this demo, where we connect Codex to a live workspace and run a fraud detection project end to end — summarizing projects, serving a model, auto-running the card-cancellation workflow, and writing a new analysis back into Deepnote.
Codex connects via the Deepnote MCP and operates within your existing permissions: it can search for projects, read and run notebooks, write new ones, and inspect integrations.
Here's what that unlocks:
Your workspace as the context for every exploration
Most real questions cross team boundaries. Codex can now search and read across every project in your workspace, pulling from the marketing, sales, and product notebooks to compose a single answer across all three — built on how your team already defines and measures things.
Turn a Codex exploration into a published Deepnote app
An exploration doesn't have to end as a chat thread. Because Codex can write back to Deepnote, you can share its work as a notebook or a published app your team can open, rerun, and extend.
Build and refine real workflows
Codex can interact with individual blocks in your notebooks, so you build persistent, production-ready workflows instead of one-off queries — adding features to a model, tuning thresholds, or dropping in monitoring over a few targeted prompts.
Connect Deepnote to Codex
- Open Codex
- Select Plugins and find Deepnote
- Click Enabled in Codex, then Connect
- Follow the OAuth flow and select a workspace
Deepnote is live in the Codex data analytics plugin today. The Deepnote MCP and public API behind this connection open up a lot more opportunities — more on that soon!