MCP.Market

SentinelX MCP server

online · 100% uptime
by sentinelx.app·app.sentinelx/sentinelx·v0.6.0·16 stars

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

A97/100grade A
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Safety scan
A97/100

full report

Adoption
Growing

16 stars

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SentinelX MCP tools

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Public scan report

scanner v0.1.10 · 2026-11-03 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 203ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityOAuth resource metadata advertised on 40115/15
  • Maintenancelast push 2 days ago15/15
  • Maintainer identityendpoint served from the registry-verified namespace domain8/10
Overall 97/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How SentinelX MCP compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
97/100
higher than 98% of 4,460 AI and agents servers
Uptime
100%
of our recent checks; the typical remote AI and agents server answers 100%
Response time
341 ms
faster than 41% of 2,331 AI and agents servers
GitHub stars
16
more than 87% of 2,711 AI and agents servers

Install SentinelX MCP in Claude Code, Cursor or VS Code

claude mcp add --transport http sentinelx https://mcp.sentinelx.app/mcp/mcp
Add to Cursor

What the publisher says

From the SentinelX MCP repository's README, as published. We do not edit it. Read it on GitHub

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.

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

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

SentinelX MCP: common questions

Is SentinelX MCP server safe?
Yes, by our scan: it is graded A (97/100). Read the SentinelX MCP safety report
How do I install SentinelX MCP?
It runs remotely at mcp.sentinelx.app. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does SentinelX MCP need an API key?
No key to paste: it signs you in with OAuth when your client connects.
Is SentinelX MCP maintained?
The last commit was 3 days ago (2026-11-01). The latest release is v0.6.0.
Is SentinelX MCP up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of SentinelX MCP?
Servers from other publishers that do the same job: Decionis MCP server, MCP Server for WinDbg Crash Analysis and Agent-Native Chat MCP server.
How does SentinelX MCP compare with other AI and agents MCP servers?
safety score 97/100 (higher than 98% of 4,460 AI and agents servers); uptime 100% (of our recent checks; the typical remote AI and agents server answers 100%); response time 341 ms (faster than 41% of 2,331 AI and agents servers). Full comparison.

Alternatives to SentinelX MCP

Same job from other publishers: the closest match first, then the best rated.

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