Nobl9

Nobl9 is the reliability platform, built on service level objectives (SLOs) and error budgets. It tells you whether the services your customers depend on are working, how much room you have before they notice a problem, and what to fix first. Connect it to your AI assistant and you can ask those questions in plain words and get answers from your own live data. Ask things like: Which of my services are closest to exhausting their error budget this month? What reliability target should the payments API have, given how it has behaved? Set that up for me, and show me before you change anything. What you get: a straight answer on service health in one question; the story behind an alert, with the data that fired it; reliability targets built from how your services behave for users, with the error budget tracked against real monitoring data; alerts that page when a budget is burning fast and stay quiet when it drifts slowly. The assistant works from the monitoring tools your team already runs (Prometheus, Datadog, Dynatrace, New Relic, Amazon CloudWatch, Google Cloud Monitoring, Splunk and others), so there is nothing new to instrument. What it can do: read your services, SLOs, error budgets, alerts, and connected data sources, and draft, validate, or apply an SLO or alert policy when you ask. When you ask it to set up or change a target or an alert, it drafts the change, checks it, and shows you the full definition. Requires a Nobl9 account. Documentation: docs.nobl9.com/tools-and-utilities/mcp-server