Why we built Astrea as an MCP tool.
The fastest way to be useful during an incident is to require nothing new.
Every incident tool faces the same first obstacle: it has to earn its place in a stack that is already crowded, already paged, and already skeptical. The classic answer is to ask for an agent, a sidecar, a new data pipe, a fresh set of credentials. Each of those is a reason to say not this quarter — and reliability tooling that never gets adopted helps no one at 2am.
So we made a different bet. Astrea ships as an MCP tool. It plugs into the AI infrastructure a team already runs and speaks the protocol that infrastructure already exposes. There is nothing new to deploy into the critical path.
Meet the stack where it is
MCP gives us a common surface to reach the context that matters — logs, traces, deploy history, metric series, incident channels — without asking anyone to re-pipe their data or grant a novel integration for every source. If your platform can already answer a question, Astrea can already ask it.
That means integration measured in minutes, not months. No rip-and-replace, no migration project, no parallel copy of your telemetry sitting in someone else's cloud.
Reason over what is already there
Because Astrea does not own the data, it is free to focus on the part that is actually hard: reasoning. It assembles the scattered evidence into one structured model of the incident and works over that model — forming hypotheses, testing them, and committing to a causal chain, with every step shown.
The protocol is the plumbing. The reasoning is the product.
Composable by design
An MCP-native tool is also a good citizen. Astrea can call other tools and be called by them, so it slots into whatever incident workflow a team has already built rather than demanding a new one. The blackbox does not replace your stack. It reasons across it.