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

SentinelX MCP

by pensadosversion 0.6.0i★ 16iRuns in the cloud
Registry nameapp.sentinelx/sentinelx

How to install

What it does

Operate Linux, macOS and Windows from your LLM. Every action runs through an auditable allowlist.

  • Connects Runs in the cloud
  • Account or key Sign in to the service when you connect (OAuth)
  • Category Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Passed 4/4 checks · What you ask goes through the maker’s server (mcp.sentinelx.app) · ✓ Commands checked Nov 13, 2026

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude · about 2 min

No key, nothing to install · Set it up once on claude.ai or the desktop app, then use it in chat · free accounts can add 1 · on Team/Enterprise an Owner adds it

  1. Open Claude’s Connectors page

    CustomizeConnectors

    CustomizeConnectors1Add2https://…3Add4
  2. Click “Add” → “Custom” → “Web” and fill in these 2 fields

    Copy each value into the field with the same name in Claude, then click Continue

    Name · NameSentinelX MCP
    Remote MCP server URL · Addresshttps://mcp.sentinelx.app/mcp/mcp

    Click Continue past the sign-in settings Claude detected · under Authentication choose what the maker says (Sign in now, Sign in when needed or No sign in), then click Add

  3. Turn it on in a chat

    +ConnectorsSentinelX MCP

  4. Try it

    Use SentinelX MCP and tell me what you can do for me, then show me one thing

    ✓ If Claude says it is using SentinelX MCP or shows a SentinelX MCP tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with ChatGPT, depending on your plan

Full MCP: ChatGPT Business, Enterprise or Edu on the web · Pro: connects with read/fetch permissions, so tools that change data may not work · Plus: not confirmed in OpenAI’s docs; if you see an add-custom-MCP option on the Plugins page you can try these steps · web only

  1. Open ChatGPT’s add-MCP page on the web

    Plugins+Add custom MCP server

    ChatGPTPlugins1+2https://…3Create4
  2. Fill in the name and address

    Enter a name, paste the address under Connection, tick the risk warning and click Create as a plugin

    Name · NameSentinelX MCP
    Connection · Addresshttps://mcp.sentinelx.app/mcp/mcp
  3. Pick SentinelX MCP in a chat

    Start a new chat and pick SentinelX MCP from your plugins before typing

  4. Try it

    Use SentinelX MCP and tell me what you can do for me, then show me one thing

    ✓ If ChatGPT says it is using SentinelX MCP or shows a SentinelX MCP tool in the answer, you are connected

Menu names checked against OpenAI’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Claude Code · about 2 min

No key, nothing to install

  1. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  2. Paste this command and press Enter

    claude mcp add --transport http --scope user sentinelx https://mcp.sentinelx.app/mcp/mcp
  3. Type /mcp in Claude Code

    You should see SentinelX MCP listed as connected

  4. Try it

    Use SentinelX MCP and tell me what you can do for me, then show me one thing

    ✓ If Claude Code says it is using SentinelX MCP or shows a SentinelX MCP tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor · about 2 min

No key, nothing to install

  1. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  2. Open the AI chat in Cursor in Agent mode

  3. Try it

    Use SentinelX MCP and tell me what you can do for me, then show me one thing

    ✓ If Cursor says it is using SentinelX MCP or shows a SentinelX MCP tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code · about 2 min

No key, nothing to install

  1. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  2. Open the AI chat in VS Code in Agent mode

  3. Try it

    Use SentinelX MCP and tell me what you can do for me, then show me one thing

    ✓ If VS Code says it is using SentinelX MCP or shows a SentinelX MCP tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

Address for apps that connect over the web

Addresshttps://mcp.sentinelx.app/mcp/mcp

JSON settings are under “For developers” below

Stuck? Ask people who use SentinelX MCP💬 Discussion →
For developers: Terminal commands and JSON settings

Over the web

Claude Code

claude mcp add --transport http --scope user sentinelx https://mcp.sentinelx.app/mcp/mcp

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "sentinelx": {
      "url": "https://mcp.sentinelx.app/mcp/mcp"
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "sentinelx": {
      "type": "http",
      "url": "https://mcp.sentinelx.app/mcp/mcp"
    }
  }
}

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

Downloads per weeki
Not on npm/PyPI
Verified domain
✓ sentinelx.app
Licencei
Apache-2.0
Connection
Runs in the cloud
Transport
streamable-http
Latest versioni
0.6.0
Published to registryi
Aug 16, 2026
Code last changedi
Nov 5, 2026
Maker
pensados
Registry status
Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Connect over the internet in

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

All apps, with pros and cons →

Related guides

What it can do

The server asks you to sign in before it lists its tools.

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 13, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain sentinelx.app (the registry checks domain ownership)

  • ✓ Pass

    Still maintained

    Code last changed 8 days ago

  • – Not applicable

    Has a licence

    Not applicable: a cloud server run by the owner of sentinelx.app; you don't run code from the repo

  • ✓ Pass

    Endpoint responds

    Responded in 43 ms (HTTP 401)

  • ✓ Pass

    Sign-in with OAuth

    Declares OAuth sign-in, so your AI app can take you to log in

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

Sign in with Google to post

User reviews

No reviews yet

Sign in with Google to write a review

Compared with others in Search & AI memoryi

  • More stars than 94% of the other 6067 servers in this category
  • Published to the registry more recently than 28% of the other 6067 servers in this category
  • Basic checks equal to or better than 100% of the other 6067 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 SentinelX MCP safe?

It passed 4 of 4 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed 8 days ago, and the latest version (0.6.0) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT on the web (full MCP on Business and above; Pro read-only).

What can I use instead?

In the same category: Context7, Codebase Memory, Ruflo

Others in the same category

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 1.2M/wk★ 64.7KUpdated yesterday

Computer or cloud

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

by DeusDataWidely used↓ 16.8K/wk★ 48.6KUpdated 27 days ago

Runs on your computer

Ruflo

Agent teams, swarms, memory and hooks for Claude Code and Codex, served over MCP.

by ruvnetWidely used↓ 74.3K/wk★ 81.6K Stars for the whole repoUpdated today

Runs on your computer

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.

sentinelx-cloud-core

Operate your Linux, macOS, and Windows servers from Claude.ai or ChatGPT — safely. SentinelX gives your LLM an allowlisted, auditable shell: it can only run commands you've explicitly permitted, filesystem access is gated by a per-path allowlist, and every action is recorded. No inbound ports — just a single outbound WebSocket.

The security model is the point. Handing an LLM unrestricted shell on a server you care about is the thing SentinelX is designed to avoid: the allowlist is the real trust boundary, so the agent can't run — or invent — anything you didn't allow. This is the agent you install on the host; structured file edits and service management come with it.

SentinelX in ChatGPT — it reads the allowlist, runs only what's permitted ( df -h , /proc/meminfo ), and reports back.

Install

Most people start with the one-liner — it auto-detects Linux or macOS:

curl -fsSL https://get.sentinelx.app | bash

Windows (PowerShell — needs Python 3.12+ and git on PATH):

*Service install* — runs as LocalSystem at boot; needs an elevated PowerShell:

iwr -useb https://get.sentinelx.app/install.ps1 -OutFile "$env:TEMP\sx.ps1"

powershell -ExecutionPolicy Bypass -File "$env:TEMP\sx.ps1"

*Per-user install* — no admin; runs as you at logon (locked-down machines):

iwr -useb https://get.sentinelx.app/install.ps1 -OutFile "$env:TEMP\sx.ps1"

powershell -ExecutionPolicy Bypass -File "$env:TEMP\sx.ps1" -User

The installer clones this repo into a virtualenv, registers the agent as a service (systemd / launchd / Windows service), and walks you through enrollment. On networks that block PyPI, add -Bundle for an offline install from the wheel bundle on the latest release; the agent uses the OS trust store (truststore) so a TLS-inspecting proxy's CA is accepted. Full options — per-user vs service, offline bundle, all flags, uninstall — live in sentinelx-cloud-installer.

SentinelX is also listed in the ChatGPT app directory — ChatGPT users can connect it in one click, no custom MCP URL required.

This repo is also the agent's source — read on if you want to audit or contribute.

Troubleshooting

Common errors and their fixes, each under the exact message you'll see, are on sentinelx.app/troubleshooting: sign-in failing behind antivirus MCP scanning, hosts that keep reconnecting, -32603 errors during a hub update, ChatGPT safety blocks, Manus setup and agents that stay offline. If none of them matches, open an issue here.

Architecture

                                        Internet

│ ┌────────────────┐ │ ┌─────────────────┐ │ Claude.ai or │ MCP over HTTPS │ WebSocket │ Your host │ │ ChatGPT │ ◄───────────────────► │ ◄──────────────► │ │ │ │ (OAuth via Google) │ │ ┌───────────┐ │ └────────────────┘ │ │ │ agent │ │ ┌───────────────────────┐ │ │ (this) │ │ │ mcp.sentinelx.app │ │ └─────┬─────┘ │ │ (SentinelX hub — │ │ │ │ │ closed source) │ │ shell, edit, │ └───────────────────────┘ │ service mgmt │ └─────────────────┘

The agent is the box on the right. It opens one outbound WebSocket to the hub at install time (after enrollment) and stays connected. No inbound ports, no port-forwarding, no reverse tunnel.

What runs where

ComponentWhereWhat it does
sentinelx-cloud-core (this repo)/opt/sentinelx-cloud-core on your hostReceives MCP tool calls from the hub, executes them locally, returns output
Hubmcp.sentinelx.app (operated by Pensa)Auth, multi-host routing, MCP transport
Config/etc/sentinelx/config.yamlAllowlist: which commands, services, and paths the agent will accept
Identity/etc/sentinelx/identity.jsonThe agent's enrollment JWT, used to authenticate the WebSocket handshake

Supported platforms: any modern Linux distribution with systemd (tested on Ubuntu 22.04 / 24.04 and Debian 12), macOS with launchd (Intel and Apple Silicon), and Windows — as a service (WinSW, admin) or as a no-admin per-user Scheduled Task (-User); see *Install on Windows* below. The one-line installer auto-detects Linux and macOS; Windows uses a PowerShell installer. The agent also runs unmodified inside WSL2.

Tools exposed

The agent exposes its host's operations as MCP tools to your LLM via the hub:

ToolWhat it does
sentinel_execRun an allowlisted shell command
sentinel_script_runRun a one-off bash or python3 script
sentinel_editStructured file edit (replace, regex, replace-block, write, append, prepend)
sentinel_edit_upload_*Three-step upload for large file edits
sentinel_moveMove/rename a file or directory
sentinel_copyCopy a file or directory
sentinel_deleteDelete a file or directory
sentinel_chmodChange file permissions
sentinel_chownChange file owner/group
sentinel_servicesystemctl start/stop/restart/reload/status
sentinel_restartShortcut for sentinel_service with action=restart
sentinel_upload_fileSingle-shot file upload to the host
sentinel_upload_*Three-step chunked upload for large files
sentinel_readRead a file's contents, with optional line-range slicing
sentinel_listStructured directory listing (name, type, size, mtime)
sentinel_searchRecursive content search with regex and glob filters
sentinel_local_apiAllowlisted actions on host-local structured endpoints: a unix socket (HTTP or JSON-RPC) or a declared binary over stdio (JSON-RPC, MCP servers included). Only when the host declares local_apis
sentinel_capabilitiesHost policy/capabilities; optional bounded summary projection
sentinel_helpRich orientation/help; optional topic/path/single-playbook projections
sentinel_stateInternal agent state, for debugging
sentinel_pingCheap connectivity check
Progressive introspection (agent operation contract)

The agent-side help and capabilities operations also support optional narrow-response selectors. A Hub/MCP profile may expose these fields through whatever model-facing tool shape it uses; the selectors are backend-operation semantics and do not depend on full vs compact tool names.

  • help({"topic":"index"}) — small topic + paged playbook index.
  • help({"topic":"security"}) — one broad help section.
  • help({"path":"security_model.permission_errors"}) — one exact leaf from the existing help tree.
  • help({"playbook":"update_sentinelx_code"}) — one playbook only; optional path, offset, and limit can select/page a subfield such as steps.
  • capabilities({"detail":"summary"}) — host/operation/limit metadata and policy counts without command/service/location/playbook bodies.

Progressive help/playbook responses normalize explicit full-profile sentinel_* references to op: canonical operation hints so the same guidance can be routed through compact or full presentation without teaching a playbook two sets of MCP tool names.

For compatibility, empty help({}) and capabilities({}) requests retain the legacy full responses. A Hub that wants compact-first behavior should map its compact help/capabilities branches to the narrow selectors rather than changing the agent's legacy empty-payload semantics.

sentinel_read, sentinel_list, and sentinel_search are read-only filesystem primitives. sentinel_edit and the mutating primitives (sentinel_move, sentinel_copy, sentinel_delete, sentinel_chmod, sentinel_chown) write. All of them give the LLM structured access to the filesystem without shelling out to cat/ls/mv/rm through exec, and all of them are gated by the same path allowlist (file_ops in the config, see below), not the command allowlist. Each path in that allowlist declares an access level: r (read-only ops) or rw (read-only ops plus the writing ops). Destructive operations that overwrite or remove an existing target make a timestamped backup first.

The hub additionally exposes a handful of hub-side integrations (Cloudflare DNS, Resend email, Telegram) as MCP tools your LLM can use alongside the agent's tools — those live on the hub, not in this repo. See the integrations table on sentinelx.app.

Config (/etc/sentinelx/config.yaml)

A starter config is generated at install time. Editable. Reloaded when the service restarts. Schema:

# Commands the agent can execute via the `exec` op (exec_mode: allowlist, the

default). Whole-word match, and every command in a chained line must be

covered. Empty/missing = nothing allowed (deny by default).

allowed_commands:

  • uptime
  • df -h
  • free
  • systemctl
  • sudo systemctl
  • journalctl

See config.example.yaml for the full starter list (file inspection,

networking, containers, git, etc.) plus opt-in categories

(Cloudflare tunnels, WireGuard, Android tooling, firewalling, SSH).

Service units the agent is allowed to control via service / restart.

Each unit explicitly lists which actions are permitted.

services: nginx: actions: [status, start, stop, restart, reload] docker: actions: [status, restart]

The agent itself, so the LLM can reload policy after editing the

config. Restarting re-reads /etc/sentinelx/config.yaml. Conservative

actions only — no start/stop, since the agent can't remotely start

itself once stopped.

sentinelx-cloud-core: actions: [status, restart, is-active, is-enabled]

postgresql:

actions: [status, start, stop, restart, reload]

Optional: named playbooks the LLM can read or execute. Two shapes are

supported and can coexist in the same map:

#

1) Diagnostic playbook — a fixed sequence of allowlisted commands the

agent can run in order. Useful for "give me a quick health snapshot"

type prompts where you want one named entry-point.

#

2) Procedure playbook — a structured recipe for the LLM to follow,

expressed in description / when / steps / requires / notes

fields. Pure documentation: the agent does NOT execute the steps,

the LLM reads them via capabilities and then calls the regular

tools (sentinel_exec, sentinel_edit, sentinel_service) on its own.

#

See config.example.yaml for the full reference.

playbooks:

Diagnostic playbook (shape 1)

health: description: "Show system health summary" commands:

  • "uptime"
  • "df -h /"
  • "free -m"

Procedure playbook (shape 2) — guides the LLM through extending the

allowlist itself. Useful so users can ask "let me run htop here" and

the LLM knows the exact procedure (edit config, restart service,

verify with capabilities).

add_allowed_command: description: "How to add a new command to this host's allowlist" when: "User asks to allow a new command on this host" steps:

  • "Read /etc/sentinelx/config.yaml with sentinel_exec"
  • "Insert under allowed_com

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