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PopNx MCPMCP servers for people who use AI · explained in plain words

SentinelOne MCP

by servosityversion 0.2.6i★ –iRuns on your computer
Registry nameio.github.Servosity/sentinelone-mcp

Install

Overview

Description from the maker (original English)

Every SentinelOne v2.1 management endpoint, plus an offline SQLite store and cross-entity analytics

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

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: Marketing & social media
  • You need to fill in: SENTINELONE_API_TOKEN, SENTINELONE_BASE_URL, SENTINELONE_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: SENTINELONE_API_TOKEN, SENTINELONE_BASE_URL, SENTINELONE_MCP_READ_ONLY, SENTINELONE_NO_LOCAL_DATA, SENTINELONE_USER_AGENT, SENTINELONE_MCP_HTTP_TOKEN, PRINTING_PRESS_CLIENT_PROFILE

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

  • SENTINELONE_API_TOKEN secret required env
    Set the SENTINELONE_API_TOKEN credential for the SentinelOne MCP server.
  • SENTINELONE_BASE_URL required env
    Base URL of your SentinelOne management console API, including the version path, e.g. https://usea1-partners.sentinelone.net/web/api/v2.1. The shipped default points at an example host.
  • SENTINELONE_MCP_READ_ONLY env
    Optional. Set to exactly 1 to expose only read-only tools and refuse any non-GET execute call. Preset to 1; clear it only when you want the agent to run the tools this switch hides.
  • SENTINELONE_NO_LOCAL_DATA env
    Optional. Set to 1 to keep no local copy of API responses: reads go to the API, the response cache is off, and sync refuses to run. Leave blank to keep the local store.
  • SENTINELONE_USER_AGENT env
    Overrides the User-Agent the CLI sends on SentinelOne requests.
  • SENTINELONE_MCP_HTTP_TOKEN secret env
    Bearer token callers must present when the server runs with --transport http; not used by the stdio transport.
  • PRINTING_PRESS_CLIENT_PROFILE env
    Optional: bind the MCP server to one tenant-gated client profile; leave unset to use default_client_profile.

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 Marketing & social mediai

  • More stars than 0% of the other 2980 servers in this category
  • Published to the registry more recently than 76% of the other 2980 servers in this category
  • Basic checks equal to or better than 100% of the other 2980 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 SentinelOne 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: SENTINELONE_API_TOKEN, SENTINELONE_BASE_URL, SENTINELONE_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 (0.2.6) reached the registry 10 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: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

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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Runs on your computer★ 244MITUpdated 10 days ago
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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.

SentinelOne + 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 SentinelOne

API. Not affiliated with, endorsed by, or sponsored by SentinelOne, Inc..

▶ Watch the 30-second demo - demo data is simulated; every command shown exists in the real CLI.

Every SentinelOne v2.1 management endpoint, plus an offline SQLite store and cross-entity analytics - fleet health, threat triage, blast radius, drift - that no console view offers. 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

Security note. Local agents use the default stdio transport and need no

network listener. HTTP mode (--transport http, for remote agents) refuses to

start until SENTINELONE_MCP_HTTP_TOKEN is set, rejects any request without that

bearer token, serves http://127.0.0.1:7777/mcp by default, and needs --tls-cert

and --tls-key for any other address. It refuses a request body over 4 MiB or

one that takes longer than 30 seconds to arrive. Whoever holds the token can

call every tool with your SentinelOne credentials, including tools that change

your tenant, so treat it like a password, and keep SENTINELONE_MCP_READ_ONLY=1

on a remote host that only needs to read. See mcp-install.md.

The six agents MSP owners actually use (self-serve, works today):

Your AI agentHow to install the SentinelOne skill
Claude DesktopRun installer, then Settings > Extensions to register sentinelone-mcp (no JSON editing).
ChatGPT (desktop app)Run installer, then add sentinelone-mcp in Settings > MCP servers as a local (STDIO) server. ChatGPT on the web is not supported yet.
Codex CLIPaste the install prompt below.
Claude CodePaste the install prompt below.
Claude CoworkPaste the install prompt below.
GitHub Copilot (VS Code)Run installer, add sentinelone-mcp to mcp.json under the servers key, then pick Agent mode.

The ChatGPT desktop app runs sentinelone-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.

AgentWhat it takes
Microsoft 365 Copilot / Copilot StudioNot 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 GeminiGemini 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.md directly *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 .mcpb launches on macOS (Intel and Apple Silicon), Windows x64 and Linux x64. Every tool shells out to the companion sentinelone-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 set SENTINELONE_CLI_PATH to an existing binary). Details: #331.

Download SentinelOne MCP (.mcpb) - then open Claude Desktop > Settings > Extensions and select the file. One click, no JSON, no shell. (Browse every SentinelOne 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 sentinelone@msp-skills

Path A - paste one prompt into your AI agent (recommended)

Copy this into Claude Code, Codex CLI, or Claude Cowork:

Install the SentinelOne 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/sentinelone/install.sh). If it uses Windows PowerShell, run iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/sentinelone/install.ps1 | iex. Then authenticate per the README and run sentinelone-cli --help to 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/sentinelone/install.ps1 | iex

macOS / Linux:

bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/sentinelone/install.sh)

The installer drops both sentinelone-cli (the CLI) and sentinelone-mcp (the MCP server) into your user bin path. Claude Code, Codex, and Cowork discover the Skill via SKILL.md in this directory.

Verify:

sentinelone-cli --version
Upgrade 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/sentinelone/install.sh)

Windows (PowerShell):

iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/sentinelone/install.ps1 | iex

Claude Desktop .mcpb users: download the latest .mcpb (top of this section) and re-select it in Settings > Extensions. Claude Code plugin users: /plugin update sentinelone@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/sentinelone --force

Inside a Hermes chat session:

/skills install servosity/msp-skills/skills/sentinelone --force

Hermes speaks MCP natively, so it can also use the sentinelone-mcp server directly - same install path, same env vars.

Install for OpenClaw

Tell your OpenClaw agent (copy this):

Install the sentinelone skill from https://github.com/servosity/msp-skills/tree/main/skills/sentinelone. The skill defines how its required CLI (sentinelone-cli) can be installed via the openclaw: 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 SentinelOne management console):

SENTINELONE_API_TOKEN=<value> sentinelone-cli doctor

doctor 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 askingCommand
What should I triage first across all my client sites right now?sentinelone-cli threats triage
Where did this malicious file spread, and which endpoints are still active?sentinelone-cli threats blast-radius " "
Which endpoints are decaying - offline, out-of-date, infected, or under-protected?sentinelone-cli fleet-health stale
Which clients have protection gaps (detect-only, Ranger off, firewall off)?sentinelone-cli coverage gaps
What changed across the whole fleet since yesterday?sentinelone-cli whatchanged --since 24h
Which threats keep coming back after we mitigated them?sentinelone-cli threats recurrence
Are we hitting our mitigation SLA, and where are the breaches?sentinelone-cli threats mttr --sla 4
Give me one posture scorecard per client for the QBR deck?sentinelone-cli posture
Rank my clients by risk so I know which tenant to call first?sentinelone-cli sites risk
Which agents still hold a license with no live machine behind them?sentinelone-cli agents reclaim --days 30
Which endpoints need an agent upgrade, per site and OS, and which are reachable now?sentinelone-cli versions plan

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 SentinelOne integrations and MCP servers proxy each question into a live API call. That's fine for one record. It dies at scale, when you're asking "rank every open threat across all 40 client sites by confidence, severity, and age" or "which endpoints went dark or dropped to detect-only since yesterday" - questions the console only answers one scope at a time, if at all.

This skill syncs SentinelOne into a local SQLite mirror with full-text search, snapshotting history on every sync. Aggregate questions become one local SQL join: instant, offline, and the AI sees the answer, not the raw data. Compound commands like threats triage, threats blast-radius, fleet-health stale, and whatchanged join across threats, agents, sites, and stored snapshots - cross-site rollups and time-aware diffs a stateless API wrapper can't do.

The pain this closes

The SentinelOne management console scopes to one Account or Site at a time. Run it across a book of customer sites and every cross-client question - who has the worst open threats, whose agents went dark, who is stuck on an old bu

Only the beginning is shown; read the rest in the repo

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