# New Relic

> Use this tool when you need to monitor and troubleshoot application performance, analyze logs and metrics, or investigate incidents. It provides direct access to New Relic's observability platform, allowing AI agents to query data using NRQL or natural language and perform automated operations. Ideal for use cases requiring data analysis, automated troubleshooting, and performance optimization across the full New Relic platform.

Canonical page: https://skillsregistry.net/skills/newrelic  
JSON: https://api.skillsregistry.net/v1/skills/newrelic

## Description

Provides direct access to New Relic's observability platform through standardized tools. Query data using NRQL or natural language, analyze logs and metrics, monitor alerts and incidents, and investigate application performance. Enables AI agents to perform troubleshooting, automated operations, and data analysis across the full New Relic platform.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/newrelic)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "newrelic"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/newrelic` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/newrelic/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt