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Query New Relic observability data and handle alerts in natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "newrelic-mcp-server" yet — see the docs or source repo.
Use the New Relic tool to review the payment service over the last hour, including error rate, latency, and related anomalous events, then summarize the most likely cause.
Returns key observability metrics, anomaly clues, and a brief cause analysis.
List all active alerts in New Relic, sort them by severity, and highlight the items that need immediate response.
Outputs an alert list, severity ordering, and response priorities.
Analyze the login endpoint performance for the last 24 hours and identify latency trends and possible bottlenecks.
Provides a performance trend summary, potential bottlenecks, and actionable observations.
Ops or SRE teams can use natural-language queries against New Relic alerts, events, and related data after a production alert fires. It helps shorten the time from detection to response.
Developers can directly query application performance analytics to inspect latency, errors, or anomalous changes. It is useful for post-release checks and routine performance reviews.
Data analysts can access New Relic observability data through natural language to retrieve observations for specific time ranges or services. This is useful for basic trend summaries and operational support.
It provides New Relic observability tools for AI assistants, enabling discovery, data access, alerting, incident response, and performance analytics through natural language.
Based on the description, it is best suited for DevOps, developers, and analysts who need observability data. Anyone handling monitoring data or alerts may benefit.
The provided material does not specify installation steps, runtime, or authentication requirements. See the source repository for exact setup and prerequisites.
Query New Relic, troubleshoot systems, and manage alerts and dashboards.
Use New Relic observability to troubleshoot, monitor performance, and optimize systems.
Monitor systems, manage alerts, and automate observability workflows in New Relic.
Query New Relic data to investigate incidents and troubleshoot production issues.
Automate New Relic alerts, notifications, and application monitoring workflows.
Query and manage Datadog observability data and operations using natural language.