Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Operate Linux, macOS and Windows from your LLM. Every action runs through an auditable allowlist.
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
CustomizeConnectors
Copy each value into the field with the same name in Claude, then click Continue
SentinelX MCPhttps://mcp.sentinelx.app/mcp/mcpClick 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
+ConnectorsSentinelX MCP
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
Plugins+Add custom MCP server
Enter a name, paste the address under Connection, tick the risk warning and click Create as a plugin
SentinelX MCPhttps://mcp.sentinelx.app/mcp/mcpStart a new chat and pick SentinelX MCP from your plugins before typing
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
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add --transport http --scope user sentinelx https://mcp.sentinelx.app/mcp/mcpYou should see SentinelX MCP listed as connected
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
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
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.
Address for apps that connect over the web
https://mcp.sentinelx.app/mcp/mcpJSON settings are under “For developers” below
Claude Code
claude mcp add --transport http --scope user sentinelx https://mcp.sentinelx.app/mcp/mcpCursor (~/.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.
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
The server asks you to sign in before it lists its tools.
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
The registry name was verified against the domain sentinelx.app (the registry checks domain ownership)
Code last changed 8 days ago
Not applicable: a cloud server run by the owner of sentinelx.app; you don't run code from the repo
Responded in 43 ms (HTTP 401)
Declares OAuth sign-in, so your AI app can take you to log in
Not checked yet; we read the tool list when we check the endpoint
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
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Posts here are written by users, not the PopNx team.
No reviews yet
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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.
The GitHub repo last changed 8 days ago, and the latest version (0.6.0) reached the registry 3 months ago.
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).
In the same category: Context7, Codebase Memory, Ruflo
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
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Agent teams, swarms, memory and hooks for Claude Code and Codex, served over MCP.
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.
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.
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.
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.
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.
| Component | Where | What it does |
|---|---|---|
sentinelx-cloud-core (this repo) | /opt/sentinelx-cloud-core on your host | Receives MCP tool calls from the hub, executes them locally, returns output |
| Hub | mcp.sentinelx.app (operated by Pensa) | Auth, multi-host routing, MCP transport |
| Config | /etc/sentinelx/config.yaml | Allowlist: which commands, services, and paths the agent will accept |
| Identity | /etc/sentinelx/identity.json | The 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.
The agent exposes its host's operations as MCP tools to your LLM via the hub:
| Tool | What it does |
|---|---|
sentinel_exec | Run an allowlisted shell command |
sentinel_script_run | Run a one-off bash or python3 script |
sentinel_edit | Structured file edit (replace, regex, replace-block, write, append, prepend) |
sentinel_edit_upload_* | Three-step upload for large file edits |
sentinel_move | Move/rename a file or directory |
sentinel_copy | Copy a file or directory |
sentinel_delete | Delete a file or directory |
sentinel_chmod | Change file permissions |
sentinel_chown | Change file owner/group |
sentinel_service | systemctl start/stop/restart/reload/status |
sentinel_restart | Shortcut for sentinel_service with action=restart |
sentinel_upload_file | Single-shot file upload to the host |
sentinel_upload_* | Three-step chunked upload for large files |
sentinel_read | Read a file's contents, with optional line-range slicing |
sentinel_list | Structured directory listing (name, type, size, mtime) |
sentinel_search | Recursive content search with regex and glob filters |
sentinel_local_api | Allowlisted 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_capabilities | Host policy/capabilities; optional bounded summary projection |
sentinel_help | Rich orientation/help; optional topic/path/single-playbook projections |
sentinel_state | Internal agent state, for debugging |
sentinel_ping | Cheap connectivity check |
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.
/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
allowed_commands:
service / restart.services: nginx: actions: [status, start, stop, restart, reload] docker: actions: [status, restart]
sentinelx-cloud-core: actions: [status, restart, is-active, is-enabled]
#
#
description / when / steps / requires / notescapabilities and then calls the regular#
config.example.yaml for the full reference.playbooks:
health: description: "Show system health summary" commands:
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: