# newrelic-mcp

> newrelic-mcp — mohamedsawahzc-newrelic-mcp. Use this tool when you need to access and analyze New Relic observability data, such as entity information, incidents, and deployment history, to inform AI-driven decisions and actions. It solves problems related to monitoring, troubleshooting, and optimizing system performance by providing a unified interface for querying New Relic data via the Model Context Protocol. This tool is ideal for use cases requiring real-time insights and data-driven automation, with inputs including NRQL queries and entity searches, and outputs including relevant data and golden signals.

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

## Description

Enables AI agents to query New Relic observability data, including NRQL queries, entity searches, incident tracking, deployment history, and golden signals, via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t9wugx3v1h)
- **Repository:** <https://github.com/MohamedSawahZC/newrelic-mcp>

## 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": "mohamedsawahzc-newrelic-mcp"
    }
  }
}
```

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