Spec Driven Development
by formulahendry
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Runs on your computer★ 440MITUpdated 14 months ago
Install
NinjaOne MCP
Overview
Description from the maker (original English)
Every NinjaOne report, plus a local store that answers fleet-wide questions no single API call can
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Other
- You need to fill in: NINJAONE_CLIENT_ID, NINJAONE_CLIENT_SECRET, NINJAONE_OAUTH_SCOPE, PRINTING_PRESS_CLIENT_PROFILE, NINJAONE_MCP_HTTP_TOKEN
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- You fill in yourself:
NINJAONE_BASE_URL,NINJAONE_CLIENT_ID,NINJAONE_CLIENT_SECRET,NINJAONE_OAUTH_SCOPE,NINJAONE_TOKEN_URL,NINJAONE_NO_CONFIG_WRITE,PRINTING_PRESS_CLIENT_PROFILE,NINJAONE_MCP_READ_ONLY,NINJAONE_NO_LOCAL_DATA,NINJAONE_MCP_UPLOAD_ROOT,NINJAONE_USER_AGENT,NINJAONE_MCP_HTTP_TOKEN
Values marked secret are keys to your account. Never share them or paste them into a chat.
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Download the maker’s .mcpb file
The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.
Run this in your terminal
Fill in the empty values before running it.
Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
Values you fill in
NINJAONE_BASE_URLenvBase URL for the NinjaOne API. Leave the prefilled default unless your account uses a different regional or self-hosted host.- Set the NINJAONE_CLIENT_ID credential for the NinjaOne MCP server.
- Set the NINJAONE_CLIENT_SECRET credential for the NinjaOne MCP server.
- Set the NINJAONE_OAUTH_SCOPE credential for the NinjaOne MCP server.
NINJAONE_TOKEN_URLenvToken endpoint the client-credentials exchange posts to. Leave the prefilled default unless your tenant uses a different token endpoint.NINJAONE_NO_CONFIG_WRITEenvSet to 1 to keep credentials off disk. The token cache becomes a no-op, so the connector mints a fresh token each run instead of writing one to config.toml. Leave blank for the default cached behavio…- Optional: binds the MCP server to an existing tenant-gated Printing Press client profile. Leave unset for a single-tenant install.
NINJAONE_MCP_READ_ONLYenvOptional. Set to exactly 1 to expose only read-only tools and refuse any state-changing execute call.NINJAONE_NO_LOCAL_DATAenvOptional. Set to 1 to keep no local copy of API responses: reads go to the API and the response cache is off.NINJAONE_MCP_UPLOAD_ROOTenvOptional. Leave unset: no NinjaOne MCP tool in this release takes a file, so this setting has no effect.NINJAONE_USER_AGENTenvOverrides the User-Agent the CLI sends on NinjaOne requests.- Required only when running the MCP server with --transport http. Not needed for the default local stdio transport.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account servosity, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Otheri
- More stars than 0% of the other 32568 servers in this category
- Published to the registry more recently than 93% of the other 32568 servers in this category
- Basic checks equal to or better than 100% of the other 32568 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is NinjaOne MCP safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
You need to fill in: NINJAONE_CLIENT_ID, NINJAONE_CLIENT_SECRET, NINJAONE_OAUTH_SCOPE, PRINTING_PRESS_CLIENT_PROFILE, NINJAONE_MCP_HTTP_TOKEN
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.1.22) reached the registry 2 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.
What can I use instead?
In the same category: Spec Driven Development, Remote Desktop Commander, FlyDocs
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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by desktop-commander
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Runs in the cloud★ 211Updated yesterday
Install
FlyDocs
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Spec-driven development workflow: your agent works issues, sessions and the status lifecycle.
Runs on your computerUpdated today
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README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
NinjaOne + AI - for Claude, the ChatGPT desktop app, GitHub Copilot, Gemini CLI, and any agent that speaks MCP
Unofficial. Community-built Claude Code Skill and MCP server for the NinjaOne
API. Not affiliated with, endorsed by, or sponsored by NinjaOne, LLC.
▶ Watch the 30-second demo - demo data is simulated; every command shown exists in the real CLI.
Comparing backup vendors? One of our MSP partners told us, "My guys now spend a tenth of the time on backups." Fixing is included in every Servosity co-managed backup plan, and our engineers tell you what they did. See how co-managed backup works
Every NinjaOne report, plus a local store that answers fleet-wide questions no single API call can: patch compliance, backup gaps, AV blast-radius, health, drift. Works with the AI you already use - ChatGPT (desktop app), Claude Desktop, Codex, Claude Code, Claude Cowork, and GitHub Copilot - plus Gemini CLI. Free, open source, runs on your laptop. Built for MSP owners. No code required.
Works with your agent
The six agents MSP owners actually use (self-serve, works today):
| Your AI agent | How to install the NinjaOne skill |
|---|---|
| Claude Desktop | Run installer, then Settings > Extensions to register ninjaone-mcp (no JSON editing). |
| ChatGPT (desktop app) | Run installer, then add ninjaone-mcp in Settings > MCP servers as a local (STDIO) server. ChatGPT on the web is not supported yet. |
| Codex CLI | Paste the install prompt below. |
| Claude Code | Paste the install prompt below. |
| Claude Cowork | Paste the install prompt below. |
| GitHub Copilot (VS Code) | Run installer, add ninjaone-mcp to mcp.json under the servers key, then pick Agent mode. |
The ChatGPT desktop app runs ninjaone-mcp locally and shares MCP configuration with Codex (OpenAI). ChatGPT on the web needs a remote server, which msp-skills does not support yet. If your team works there, a hosted gateway is the better pick; check that your AI app is on the gateway's setup list. Setup steps: mcp-install.md.
Also for the Microsoft and Google stacks
Big install base, but an honest heads-up: Gemini CLI runs the local binary you just installed, while Microsoft 365 Copilot and the Gemini app need a remote server, which msp-skills does not support yet.
| Agent | What it takes |
|---|---|
| Microsoft 365 Copilot / Copilot Studio | Not supported by msp-skills yet: it needs a remote server. A hosted gateway is the better pick; check that your AI app is on the gateway's setup list. |
| Google Gemini | Gemini CLI is local - same as Claude Code. See mcp-install.md. The Gemini app needs a remote server and is not supported by msp-skills yet. |
Skill-native agents (also covered): Hermes and OpenClaw read this skill's
SKILL.mddirectly *and* speak MCP - see their install sections below. Also works with Cursor, Windsurf, Cline, Continue.dev, and Zed via MCP. Full per-tool wire-up: [docs/which-agent.md](../../docs/which-agent.md).
Run more than one agent? Install across all 51+ supported agents in one command:
npx skills add Servosity/msp-skills@latest(requires Node.js, then run the per-skill installer for the CLI/MCP binaries). See docs/which-agent.md.
Install in 60 seconds
Fastest for Claude Desktop - one-click .mcpb
Claude Desktop bundle: the
.mcpblaunches on macOS (Intel and Apple Silicon), Windows x64 and Linux x64. Every tool shells out to the companionninjaone-cli. Releases cut from 2026-09-18 on ship that CLI inside the bundle; older bundles contain only the MCP server, so if yours lacks the companion, run the Path A or Path B installer below first (or setNINJAONE_CLI_PATHto an existing binary). Details: #331.
Download NinjaOne MCP (.mcpb) - then open Claude Desktop > Settings > Extensions and select the file. One click, no JSON, no shell. (Browse every NinjaOne release on the releases page.)
Prefer the Claude Code plugin? Add the marketplace once, then install - works immediately, no directory listing required:
/plugin marketplace add Servosity/msp-skills/plugin install ninjaone@msp-skills
Path A - paste one prompt into your AI agent (recommended)
Copy this into Claude Code, Codex CLI, or Claude Cowork:
Install the NinjaOne Skill and MCP server from Servosity/msp-skills in this agent workspace. If this workspace uses a POSIX shell (macOS, Linux, WSL, or Bash), run
bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/ninjaone/install.sh). If it uses Windows PowerShell, runiwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/ninjaone/install.ps1 | iex. Then authenticate per the README and runninjaone-cli --helpto explore.
The same prompt works in any agent that can run shell.
Path B - run the installer yourself
Windows (PowerShell):
iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/ninjaone/install.ps1 | iexmacOS / Linux:
bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/ninjaone/install.sh)The installer drops both ninjaone-cli (the CLI) and ninjaone-mcp (the MCP server) into your user bin path. Claude Code, Codex, and Cowork discover the Skill via SKILL.md in this directory.
Verify:
ninjaone-cli --versionUpgrade to the latest version
The installer always fetches the current release - re-run it to upgrade:
macOS / Linux:
bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/ninjaone/install.sh)Windows (PowerShell):
iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/ninjaone/install.ps1 | iexClaude Desktop .mcpb users: download the latest .mcpb (top of this section) and re-select it in Settings > Extensions. Claude Code plugin users: /plugin update ninjaone@msp-skills.
Add to Claude Desktop, the ChatGPT desktop app, GitHub Copilot, Gemini CLI, or another MCP client
After the installer runs, see [mcp-install.md](./mcp-install.md) and [docs/which-agent.md](../../docs/which-agent.md) for the per-agent wire-up - one section per agent, including the GitHub Copilot servers key and the ChatGPT desktop app. Claude Desktop's Settings > Extensions panel is the simplest path; the MCP config block (for users who prefer editing JSON) is documented in mcp-install.md.
Install for Hermes
From the Hermes CLI:
hermes skills install servosity/msp-skills/skills/ninjaone --forceInside a Hermes chat session:
/skills install servosity/msp-skills/skills/ninjaone --forceHermes speaks MCP natively, so it can also use the ninjaone-mcp server directly - same install path, same env vars.
Install for OpenClaw
Tell your OpenClaw agent (copy this):
Install the ninjaone skill from https://github.com/servosity/msp-skills/tree/main/skills/ninjaone. The skill defines how its required CLI (
ninjaone-cli) can be installed via theopenclaw:frontmatter block.
OpenClaw isn't generally available yet; the frontmatter wiring is pre-shipped and will activate the moment OpenClaw launches.
Authenticate
Set the credentials the CLI needs (from your NinjaOne portal):
NINJAONE_CLIENT_ID=<value> NINJAONE_CLIENT_SECRET=<value> NINJAONE_OAUTH_SCOPE=<value> ninjaone-cli doctordoctor confirms the credentials work before you run anything that touches data. It exits 0 even when the credential is rejected, so scripts should add --fail-on error.
What this skill does
| Question your MSP keeps asking | Command |
|---|---|
| Which organizations are below 95% patch compliance? | ninjaone-cli patch-compliance --min-pct 95 |
| Which endpoints across the fleet have no backup at all? | ninjaone-cli backup-coverage |
| Which devices is a given threat on, fleet-wide? | ninjaone-cli av-sweep --threat "Trojan.Generic" |
| Which devices have AV definitions older than a week? | ninjaone-cli av-sweep --definition-stale-days 7 |
| What is each organization's overall health score, and why? | ninjaone-cli fleet-health |
| Which devices have not checked in for two weeks? | ninjaone-cli stale-devices --days 14 |
| Which devices are running an end-of-life OS? | ninjaone-cli os-eol |
| Where is a software title sprawling across too many versions? | ninjaone-cli software-audit --min-versions 3 |
| Did patch compliance get better or worse since last week? | ninjaone-cli drift --metric patch |
| Search every synced device, org, and alert for a string? | ninjaone-cli search "disk full" |
Full command reference: guide.md. For the AI-agent operating contract (--agent, --dry-run, when to confirm before mutating), see AGENTS.md.
What makes this different
Most NinjaOne integrations and MCP servers proxy each question into a live API call. That's fine for one device. It dies at scale, when you're asking "which of my 40 client organizations are below 95% patched, and which endpoints across all of them have no backup" - a question the API only answers as per-device rows you have to fetch, cache, and total yourself.
This skill syncs NinjaOne into a local SQLite mirror with full-text search. Aggregate questions become one local SQL join: instant, offline, and the AI sees the answer, not the raw data. Compound commands like patch-compliance, backup-coverage, fleet-health, and drift join devices against the organization map, the patch and backup reports, and the previous snapshot - cross-fleet rollups a stateless API wrapper can't do.
The pain this closes
NinjaOne is one of the most-loved RMMs for real-time, per-device work. The recurring owner complaint is the layer above one device: reporting and the cross-client rollup. Independent reviews note NinjaOne's built-in reports are "not consistently executive-ready" and that client-facing reporting often needs a third-party BI overlay - a gap still open in 2026 - alongside the lack of a single unified multi-tenant view (Flamingo, *NinjaOne Review* and *NinjaOne vs Intune*, 2026).
So the questions you ask every week aren't one click - they're a per-org report run N times and re-totaled by hand. This skill makes them one command:
| The weekly question | One command |
|---|---|
| Who's behind on patches? | ninjaone-cli patch-compliance --min-pct 95 |
| Who has no backup? | ninjaone-cli backup-coverage |
| How far did that threat spread? | ninjaone-cli av-sweep --threat "Trojan.Generic" |
|
Only the beginning is shown; read the rest in the repo