Ask Claude or ChatGPT what is breaking in Sentry, which release caused it and who it hits, and have the issue resolved or assigned.
Read from Sentry when someone asks. Nothing exported, nothing copied, and changes only where you allow them.
What are the top unresolved errors in the checkout project over the last 24 hours, by users affected?
Did release 4.2.0 introduce new issues, and which commits went into it?
Assign CHECKOUT-482 to the payments team and mark it resolved in the next release.
One issue at a time: no bulk changes and no deletes. Every write is on record.
When errors spike, the questions come fast: what broke, since when, for how many users, and which release did it. The answers are in Sentry, behind searches and stack traces. Connected once, engineers and managers can ask in plain English, and the AI can resolve, ignore or assign the issue, if you allow it.
An admin connects Sentry one time. Nobody hands over a personal login.
Each answer is read at the moment of the question. Nothing is exported or copied, so there is nothing to keep in sync.
What each role can see and do holds in every AI your team uses, and in your own agents.
Every question and every action, by every person and agent, in one audit trail.
No. The only change it can make is triaging one issue at a time: its status and who it is assigned to. Alert rules, projects, teams and members stay as they are, and it deletes nothing.
An internal integration token, created in Sentry's developer settings, so the connection survives any one person leaving. An organization auth token, the kind made for CI, cannot read issues, and the connection check catches that at setup.
Yes. EU organizations connect to Sentry's EU address, and self-hosted installs use their own, though older self-hosted versions may lack some of what it reads.
Yes, and one built for a whole company. FrontierOps gives Claude, ChatGPT and any other MCP client one connection to Sentry, set up once by an admin. What each role can read or change is decided in FrontierOps, and every call is on record, instead of each person running their own server with their own login.
A direct connection links one AI to Sentry through one person’s login, with that person’s settings. That works for one person. For a team it means no shared definitions, no single place to decide who can see or change what, and starting over when you switch AI. Through FrontierOps, Sentry is connected once, for every AI and every agent, under one set of permissions, with every call on record.