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Use New Relic observability to troubleshoot, monitor performance, and optimize systems.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "New Relic MCP Server" MCP server from askskill: Run: claude mcp add --transport http 'io-github-newrelic-partners-mcp-server' 'https://mcp.newrelic.com/mcp/'
Analyze New Relic data for the past 24 hours to identify why order API latency increased. Find abnormal periods, affected services, related error logs, key metric changes, and recommend troubleshooting steps.
A timeline of latency anomalies, related services and log clues, likely root causes, and next troubleshooting steps.
Query New Relic for the five services with the highest error rates this week. Summarize main exception types, frequency, impact scope, and provide prioritized remediation suggestions.
A ranked list of high-error services, exception statistics, impact assessment, and prioritized fixes.
Compare New Relic metrics for the 6 hours before and after the latest release. Focus on response time, throughput, error rate, and infrastructure resource usage, then determine whether the release caused a performance regression.
A before-and-after release analysis showing whether performance regressed and which key metrics were affected.
Query New Relic, troubleshoot systems, and manage alerts and dashboards.
Query New Relic observability data and handle alerts in natural language.
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.
Bring Dynatrace observability data into development for troubleshooting and performance analysis.