Know when shit hits the fan.

An AI native monitoring platform for small engineering teams: application performance monitoring, error tracking, and uptime monitoring in one place. It stores your logs, traces, and metrics, alerts you when something matters, and an AI agent investigates the root cause. You run it from your coding agent over MCP.

No. Any MCP client works, Cursor and Codex included, and the setup prompt above works in all of them. Claude Code has a plugin that does the whole setup in one command. No agent at all? Four environment variables, standard OpenTelemetry.

Sentry MCP hands your agent the error list and the agent does the digging itself, from raw events, every time. Fixter does the digging before you ask: it stores logs, traces, and metrics over standard OpenTelemetry, so it also sees what never throws (slow endpoints, stalled jobs), detects error bursts and anomalies on its own, and when something breaks it runs the investigation: related logs and traces, root cause, who is affected and since when. Your agent gets the conclusion over MCP, not thousands of events to read through. And the agent is how you run the whole thing, setup, alerts, queries, so there is no dashboard to go back to.

Monitoring and alerting never touch your code; they run on the telemetry you send. Investigations work on telemetry alone, and get sharper if you grant read access: the repository is cloned into a secure sandbox, used only for that problem, and deleted right after.

Free: 10 GB a month, forever, no card. Paid from €20 a month, pay-as-you-go or a bundle. The full breakdown, with what each plan includes, is on the pricing page.

Yes, that is the point. If you can paste one prompt into your coding agent, it handles the rest. From then on, Fixter only speaks up when production needs you.