# newrelic-mcp

> Use this tool when you need to monitor and analyze application metrics from New Relic using the Metric Collection Protocol (MCP). It solves problems related to performance monitoring, troubleshooting, and optimization by providing insights into application performance and health. The tool accepts MCP inputs and outputs metric data for further analysis, ideal for use in DevOps, IT operations, and application development contexts.

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

## Description

A command-line tool for monitoring and analyzing New Relic application metrics using MCP.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c2zfyvr94g)
- **Repository:** <https://github.com/neoai-agent/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": "neoai-agent-newrelic-mcp"
    }
  }
}
```

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