Think inside your AI world.
How do I connect Databricks to ChatGPT?
Databricks' managed servers — Unity Catalog, AI Search, Genie spaces, custom functions, AI Gateway tools — serve ChatGPT the governed lakehouse.
Direct answer: connect Databricks' managed MCP servers to ChatGPT. In ChatGPT, add it from the connector settings (developer mode); the tool's own docs carry the current path. Authorise the workspace and ChatGPT reaches Unity Catalog assets, AI Search, Genie's natural-language analytics spaces, custom functions, and the AI Gateway's SaaS tools — inside the governance the workspace already enforces.
Governed answers, conversational route
Which assets serve the customer domain, what Genie returns for the revenue question, what the function computes — answered through managed servers that inherit workspace permissions rather than tunnel under them.
Notebooks are drafts until reviewed
Worked case: your team ratified a notebook-to-prod rule — no scheduled job runs from an unreviewed notebook, after a prototype with a hardcoded date quietly wrote a month of wrong aggregates. Databricks schedules whatever you point it at; that review stands between prototype and schedule is engineering law you wrote over the scheduler.
Through Unl the pipeline read arrives with the law held: one scheduled job traces to a notebook with no review record — against your rule, the wrong-aggregates month attached. Drafts stay drafts until your process says otherwise.
Databricks to ChatGPT reads the governed lakehouse; through Unl the lakehouse answers to the promotion laws you ratified — the unreviewed notebook gets stopped at the schedule, not discovered in the aggregates.
Reads through Unl arrive with measured context — in the presence of the decisions you’ve already settled. The reach lane is live: one box, paste anything. If it speaks MCP, Unl can reach it. Readings arrive unprompted, the data beside the criterion; Unl is a courier, not a warehouse, and keeps only your keys and the frame.
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Questions people ask
What do the managed servers expose to ChatGPT?
Unity Catalog, AI Search, Genie spaces, custom functions and AI Gateway SaaS tools — managed, permission-inheriting, identical across MCP clients.
How does this compose with Unity Catalog?
Catalog governs data access; Unl governs your operational judgement above it — what may be scheduled, promoted or retrained, and why. Two layers, no overlap.
What promotion rules ratify well?
Review-before-schedule, quality-gates-before-retrain, named ownership for production jobs. Each has an incident; each earns its keep at read time.
What this is
Think inside your AI world — you stay in command
Unlimitless (Unl to friends) holds what you've settled, reads what your tools are showing, and catches what's changed out in the world — and hands your AI whatever bears on the work, the moment it's needed, without you asking. The right thing, in front of the model, unprompted, with you in command of the call. So you keep moving toward what you set out to build, on top of everything you've already decided.
It plugs into Claude, Claude Code, ChatGPT and Cursor as an MCP connector. Quick to connect, in a couple of steps.
Unlimitless is open now to invited Alpha. Apply for the Beta waitlist to come in ahead of the full launch:
Alpha is invite-only · free at launch.