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New Relic
Observability Cloud & DevOpsInstall Command
npx clawhub@latest install newrelic
Installation Guide
1
Check Environment
Make sure Node.js 22+ and OpenClaw are installed. Run openclaw --version in your terminal to verify.
2
Run Installation
Run the install command above in your terminal. ClawHub will automatically download and install New Relic to the ~/.openclaw/skills/ directory.
3
Verify Installation
Run openclaw skills list to check your installed skills and confirm New Relic appears in the list.
4
Configure (Optional)
Follow the configuration instructions in the description below to add skill settings to ~/.config/openclaw/openclaw.json5.
Manual Installation: Copy the Skill folder to
~/.openclaw/skills/ or the skills/ directory in your project root. Make sure the folder contains a SKILL.md file.
Powerful NRQL query language support
Alert condition and policy management
Change tracking and deployment marking
Detailed Description
New Relic MCP server is one of the most comprehensive observability integrations, providing up to 35 tools covering NRQL queries, alert management, dashboard operations, change tracking, and more β giving AI complete operational capabilities.
Core Features
- NRQL Query (run_nrql_query): Execute New Relic Query Language queries to analyze application performance, infrastructure metrics, and custom event data
- Alert Management: Create and manage alert conditions and policies, view alert event history, configure notification channels
- Dashboard Operations: List, view, and create dashboards, manage charts and widgets within dashboards
- Change Tracking (track_change): Mark deployment and change events, correlate performance changes with code changes
- Entity Browser: Search and browse monitored applications, hosts, containers, and other entities and their relationships
Configuration
{
"mcpServers": {
"newrelic": {
"command": "npx",
"args": ["-y", "@newrelic/mcp-server"],
"env": {
"NEW_RELIC_API_KEY": "NRAK-your-api-key",
"NEW_RELIC_ACCOUNT_ID": "your-account-id"
}
}
}
}
Use Cases
- Performance analysis: Use NRQL to query slow transactions, error rates, and throughput trends
- Alert operations: View and respond to active alerts, adjust alert thresholds
- Deployment correlation: Mark deployment events and analyze performance changes before and after deployments
- Infrastructure monitoring: Query host CPU, memory, and disk usage