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SentinelX MCP

作者:pensados版本 0.6.0i★ –i在云端运行
注册名称app.sentinelx/sentinelx

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://mcp.sentinelx.app/mcp/mcp

在终端中运行这条命令

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

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://mcp.sentinelx.app/mcp/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 sentinelx.app 验证(注册中心会核实域名所有权)

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7250 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7250 个服务器的 30% 更新
  • 基础检查结果等于或优于此分类中其他 7250 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

SentinelX MCP 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.6.0)于3个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT今天更新
安装

Codebase Memory

作者:DeusData

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

在你的电脑上运行★ 48,148MIT20天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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

只显示了开头部分;其余内容请在仓库中阅读

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