# mcp-ninjaone

> Use this tool when you need to integrate AI assistants with remote monitoring and management capabilities, solving problems such as device inventory management and automated job execution. It connects to the NinjaOne platform via REST API v2, accepting inputs like device data and organization details, and outputs alerts, schedules, and job execution status. Ideal for use cases requiring automated IT management and monitoring, this tool streamlines workflows and enhances system efficiency.

Canonical page: https://skillsregistry.net/skills/fredriksknese-mcp-ninjaone  
JSON: https://api.skillsregistry.net/v1/skills/fredriksknese-mcp-ninjaone

## Description

An MCP server that connects AI assistants to the NinjaOne remote monitoring and management platform via the REST API v2. It provides tools for device inventory, organization management, alert handling, maintenance scheduling, and automated job execution.

## Trust

- **Trust score (0–1):** 0.98
- **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/ie7umr11f9)
- **Repository:** <https://github.com/fredriksknese/mcp-ninjaone>

## 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": "fredriksknese-mcp-ninjaone"
    }
  }
}
```

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