Think inside your AI world.
Sentry through Unl
“Is it safe to ship?” looks like an error question. It’s a frame question — safe by whose bar? — and the bar lives with you, not in Sentry.
Sentry through Unl reads your live error picture — projects, issue detail, error volume — against the ship-safety bar you have ratified, so “is it safe to ship?” returns safe-or-not with the breaching issue named, not a list of errors to weigh yourself.
What Sentry holds
Sentry’s MCP server exposes the observability surface (across 150k+ organisations):
- Projects and their health
- Issue details and error retrieval
- Seer fix flows
What the naked read gives you
A naked read lists the open issues and their event counts. Accurate, and it leaves “safe to ship?” entirely to your judgement, because your safety bar isn’t a Sentry field.
The frame judges the data it is given; it does not verify the source’s accuracy.
What changes when Sentry is read measured
Say your ship-safety bar is two conditions: no new unresolved error above 50 events in the last 24 hours, and nothing open in the payment path.
“Safe to ship?” returns, measured: not safe — a new error in the checkout path crossed 60 events overnight, which breaches the payment-path condition you set precisely because that path can’t regress. Sentry supplied the errors; your ratified bar turned them into a go/no-go with the reason.
And back again
When you triage that error as a known third-party blip and record it, the next safety read discounts it — the exception is held, not re-litigated.
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.
Read further
Questions people ask
Can AI tell me if it's safe to ship from Sentry?
Reading Sentry alone gives the errors, not the verdict. Through Unl you ratify a ship-safety bar (say no new high-volume errors, nothing open in a critical path), and the live error picture is measured against it — safe or not, with the breaching issue named.
How do I connect Sentry to Claude?
Sentry runs an MCP server for direct access to projects and issues. Through Unl the same error data arrives measured against your ratified safety bar, so “is it safe?” becomes an answerable question.
Does Unl change anything in Sentry?
Unl reads through Sentry, 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.