Think inside your AI world.

Railway through Unl

Railway shows the service and its logs. Whether a deploy has earned promotion is your rule — and “it’s up” isn’t the same as “it’s safe.”

Railway through Unl reads your live infrastructure — projects, services, deployments, logs, variables — against the rollout rule you have ratified, so “promote this deploy?” comes back yes-or-not with the condition it hasn’t met.

What Railway holds

Railway’s MCP server exposes the deployment surface:

  • Projects and services
  • Deployments and build status
  • Logs and variables

What the naked read gives you

A naked read tells you the deploy is live and healthy right now. Accurate for this instant, and it won’t tell you your rule wants a clean window before promotion, because that window is a rule you set.

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

What changes when Railway is read measured

Say you’ve ratified a rollout rule: a deploy promotes only after 30 minutes healthy with no new error class in the logs.

“Promote to production?” returns, measured: not yet — the deploy is healthy but has only been up nine minutes, short of the 30-minute soak you set to catch errors that surface under load. Railway supplied the status; your ratified rule supplied the soak condition and the reason.

And back again

When you shorten the soak to 15 minutes for hotfixes and record that, the next promotion read applies the rule you now hold for that class of deploy.

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 gate my Railway promotions on a rule?

Yes, through Unl. You ratify a rollout rule (a soak window, a clean-logs condition, with reasons), and the live deploy is measured against it — promote or not, with the unmet condition named.

How do I connect Railway to Claude?

Railway offers an MCP server over projects, services, deployments and logs. Through Unl the same reads arrive measured against your ratified rollout rule, so a deploy reads as ready-to-promote or not.

Does Unl deploy or restart my services?

Unl reads through Railway, 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.