# New Relic MCP Server

> Use this tool when you need to programmatically access New Relic monitoring and observability data to manage application performance, query data, or configure alerts. It solves problems related to APM management, data analysis, and infrastructure monitoring by providing a unified interface to New Relic APIs. With inputs such as NRQL queries and alert policies, and outputs including monitoring data and dashboard insights, it enables AI assistants to make data-driven decisions in various IT and development contexts.

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

## Description

Enables AI assistants to interact with New Relic monitoring and observability data through programmatic access to New Relic APIs. Supports APM management, NRQL queries, alert policies, synthetic monitoring, dashboards, infrastructure monitoring, and deployment tracking.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dzf900xsjm)
- **Repository:** <https://github.com/piekstra/newrelic-mcp-server>

## 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": "piekstra-newrelic-mcp-server"
    }
  }
}
```

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