MCP Servers for Observability and Incident Response
The appeal here is short: the assistant already has your code open, and these servers give it the runtime evidence to go with it. A stack trace from Sentry or a spike from a Datadog dashboard turns a vague bug report into something specific.
Most of these are read-heavy by nature, which makes them a comfortable first integration for teams nervous about giving an assistant write access to anything. PagerDuty is the one to think about twice, since incident and on-call data is operationally sensitive.
6 guides in this collection.
Metrics, logs and traces
Datadog metrics, logs and monitors
Connect Datadog to Cursor IDE with an API key and Application key so your AI can query metrics, search logs, and check monitor status from chat. Config, site region gotchas, and troubleshooting.
Grafana dashboards and alerts
Connect Grafana to Cursor IDE with the official mcp-grafana server: service account token, Docker or Go binary setup, and prompts for querying dashboards, Prometheus/Loki data, and alerts.
New Relic with a user API key
Connect New Relic to Cursor IDE via the hosted mcp.newrelic.com endpoint with a User API key header, or the local npx-based server — exact mcp.json config and real observability workflows.
Honeycomb hosted endpoint
Honeycomb MCP server Cursor IDE setup 2026: add the mcp.honeycomb.io endpoint, authorize via OAuth or API key, and query traces, triggers, and SLOs from chat. Covers the EU endpoint and write-scope gotcha.
Errors and on-call
Sentry error details and stack traces
Connect Sentry to Claude, Cursor, and VS Code with MCP. Pull error details, stack traces, and issue context into your AI assistant so it can triage and help fix bugs.
PagerDuty incidents and on-call schedules
Connect PagerDuty to Cursor IDE with a REST API key so your AI can pull open incidents, check who's on call, and read escalation policies from chat. Config, permissions, and troubleshooting.
Other kinds of MCP server
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