Think inside your AI world.

Vercel through Unl

Vercel shows the build and the logs. Whether to promote to production is your gate — and the platform doesn’t hold your gate.

Vercel through Unl reads your live projects — deployments, build status, logs, agent runs — against the promotion gate you have ratified, so “clear to promote?” comes back yes-or-not with the failing condition named.

What Vercel holds

Vercel’s MCP server exposes the deployment surface plus its docs:

  • Projects and deployments
  • Build status and logs
  • Agent runs
  • Documentation

What the naked read gives you

A naked read returns the build as passing with a few warnings in the logs. Accurate, and it won’t decide whether to promote, because your promotion gate isn’t a Vercel setting.

The frame judges the data it is given; it does not verify the source’s accuracy.

What changes when Vercel is read measured

Say you’ve ratified a promotion gate: the build must pass, all preview checks green, and no errors in the last deploy’s logs.

“Clear to promote?” returns, measured: not clear — the build passes and previews are green, but the last deploy’s logs show a recurring runtime error, which fails the no-errors condition you set to keep production clean. Vercel supplied the status; your ratified gate supplied the check and the reason.

And back again

When you confirm that log line is a benign warning miscategorised as an error and record it, the next promotion read stops holding it against the gate.

The answer comes back measured against what you already decided, and why.

The lane is live and open to this tool today: 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.

Questions people ask

Can AI tell me if a Vercel deploy is safe to promote?

Reading Vercel alone gives the status, not the call. Through Unl you ratify a promotion gate (build passing, previews green, clean logs), and the live deploy is measured against it — clear or not, with the failing condition named.

How do I connect Vercel to Claude?

Vercel runs an MCP server exposing deployments, logs and projects. Through Unl the same reads arrive measured against your ratified gate, turning a dashboard into a promotion decision.

Does Unl deploy or change my Vercel projects?

Unl reads through Vercel, and can write back on your explicit gesture — it never acts as a side effect of a read.

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.