Oriel

Name: Oriel
Author: ParadoxInfinite

by ParadoxInfiniteversion 0.7.0i★ –iRuns on your computer

Registry nameio.github.ParadoxInfinite/oriel

Install

Overview

Description from the maker (original English)

Safety-gated AI control of Docker and Colima: containers, images, volumes, networks, Compose.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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: Developer tools

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).
The registry lists no key to fill in.

You need

DockerDocker installed

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "oriel": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/paradoxinfinite/oriel:0.7.0"
      ]
    }
  }
}

Run this in your terminal

claude mcp add oriel -- docker run -i --rm ghcr.io/paradoxinfinite/oriel:0.7.0

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "oriel": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/paradoxinfinite/oriel:0.7.0"
      ]
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "oriel": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/paradoxinfinite/oriel:0.7.0"
      ]
    }
  }
}

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.

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 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account ParadoxInfinite, 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 Developer toolsi

More stars than 0% of the other 4917 servers in this category
Published to the registry more recently than 22% of the other 4917 servers in this category
Basic checks equal to or better than 100% of the other 4917 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 Oriel 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?

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 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 (0.7.0) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

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

GitHub

by github

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

Computer or cloud★ 34,245MITUpdated 4 days ago

Install

Desktop Commander

by wonderwhy-er

MCP server for terminal commands, file operations, and process management

Runs on your computer★ 10,225MITUpdated 17 days ago

Install

Cloudflare MCP

by cloudflare

Cloudflare MCP servers

Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago

Install

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.

Oriel

The local Docker GUI an AI can drive, safely.

Manage containers, images, volumes, networks, and Compose from a clean browser UI. Or hand the job to an AI: any MCP client (Claude, Cursor, a local LLM) drives the same tools the UI does, with the same secret masking and destructive-action grant. It works with any Docker engine on macOS and Linux (Colima, Docker Engine, OrbStack, Podman, or a remote daemon). A free, open-source Docker Desktop alternative in one ~13 MB binary that idles at 15–30 MB of RAM, with no Electron, no account, and an Apache-2.0 license.

Try it live ↗ · the full UI in your browser, mock data, no install.

Drive it with AI

Point any MCP client at Oriel and ask in plain English. It calls the same validated, secret-masked tools the UI does, and it can chain several to actually answer a question instead of firing just one:

you: why does api keep restarting?

assistant: *reads container.list, container.inspect, then the logs.* It's exiting 137 (OOM): the container is capped at 256 MB and the Node heap runs past it. Raise the memory limit or fix the leak in worker.js.

oriel mcp        # stdio MCP server for Claude, Cursor, or a local LLM

No model ships in the binary; your client brings its own. Reads run anytime, and destructive actions stay locked behind a grant. Setup & tool list ↓

Install

Homebrew (macOS & Linux):

brew install ParadoxInfinite/oriel/oriel

Script (detects your platform and verifies the checksum):

curl -fsSL https://raw.githubusercontent.com/ParadoxInfinite/oriel/main/install.sh | sh

Add -s -- --edge to track pre-releases (newest builds first), or -s -- --uninstall to remove it:

curl -fsSL https://raw.githubusercontent.com/ParadoxInfinite/oriel/main/install.sh | sh -s -- --edge

⚠️ Piping a script to `sh` runs code from the internet on your machine. Read install.sh before you run it, or download a binary from releases instead.

Manual binary, Go, or source

Download a binary from releases (oriel-darwin-arm64 for Apple Silicon, oriel-darwin-amd64 for Intel, oriel-linux-arm64, or oriel-linux-amd64), then chmod +x. Or:

go install github.com/ParadoxInfinite/oriel@latest   # with Go

make build # from source (builds + embeds the UI)

Run

./oriel            # opens http://127.0.0.1:4321

Flags: --port (default 4321), --no-open. Run on login: ./oriel service install (launchd / systemd; also status, uninstall).

Needs any Docker Engine–compatible runtime + the docker CLI. Colima is first-class (adds VM start/stop); Docker Engine, OrbStack, Rancher/Docker Desktop, Podman, and remote daemons also work (docs/DAEMONS.md). For remote access over a private network, see docs/REVERSE-PROXY.md; read the security note first.

Features

Containers: live CPU/mem, exit codes, bulk actions, streaming logs, full inspect.
In-browser shell: open an interactive terminal into any running container, straight from its details drawer.
AI control (MCP): any MCP client drives Docker/Colima through the same validated, secret-masked tools, with destructive actions behind a grant. More ↓
Images: pull with registry search, prune, one-click tag.
Compose: manage stacks, plus discover & deploy projects from disk.
Dashboard: CPU history, memory, disk, uptime/outage tracking.
Command palette (⌘K): fuzzy-run any action or jump to any view.
Editions, themes & languages: swap the whole UI (Studio, or drop in your own), light/dark/system, custom accents, and a translatable interface (English ships; other languages load on demand).
Light & live: ~15–30 MB RAM, one SSE stream (no polling), checksum-verified self-update.

How it compares

The usual ways to run containers on a Mac or Linux box, and where Oriel fits. (Figures drift; treat as a snapshot.)

	Oriel	Docker Desktop	OrbStack	lazydocker	Portainer
License	Apache-2.0, free	Proprietary (paid for larger orgs)	Proprietary (paid for commercial use)	MIT, free	Free (CE)
Interface	Graphical web UI	Desktop app	Native app	Terminal (TUI)	Web UI (server)
Footprint	~15–30 MB RAM, ~13 MB binary	Heavy (~3–4 GB VM)	Light (native)	Light	Container, ~200–300 MB
Install	Single static binary	Installer	Installer	Single binary	Run a container
Bring-your-own engine	Colima · Docker · OrbStack · Podman · remote	Bundled engine	Bundled engine	Any Docker socket	Any Docker socket
Runs locally, no account	Yes	Account/sign-in	Account	Yes	Server + auth
AI control (MCP)	Built-in, safety-gated	MCP Toolkit (runs other servers)	No	No	No

It's the only one here an AI can drive directly, through the same checks the UI gives you. Reach for it over Docker Desktop / OrbStack (no paid license, bundled VM, or menu-bar app), over lazydocker (a real graphical UI, not a terminal one), or over Portainer (a binary you run for yourself, not a server to deploy and lock down).

For the full breakdown, including where Oriel loses (Windows, Kubernetes, multi-host), see the exhaustive comparison in the live demo .

AI control (MCP)

oriel mcp runs Oriel as a Model Context Protocol server, so an MCP client (Claude Desktop, Claude Code, Cursor, a local LLM) manages your Docker/Colima in plain English, headless, with no GUI needed. Same tools, same guardrails:

Secrets stay masked. container.inspect and container.logs redact secret-shaped values before they reach a model; an MCP client never gets fully-raw env or logs (the "off" setting applies only to the local UI). Log redaction is best-effort over free-form text.
Destructive actions are locked until you open a short, time-boxed window (oriel ai allow-destructive --for 15m). Reads always work; remove/prune don't, until you say so.
Every action is logged. An audit log records each tool call an assistant makes: what ran, with which arguments, and when (Settings → AI activity). Your own clicks aren't.
No model in the binary. Your client brings the model, so Oriel stays vendor-neutral.

Point any MCP client at it. With Oriel installed:

{ "mcpServers": { "oriel": { "command": "oriel", "args": ["mcp"] } } }

Or with no install, via the published image (Linux hosts; mounts the Docker socket):

{ "mcpServers": { "oriel": { "command": "docker", "args": ["run", "-i", "--rm", "-v", "/var/run/docker.sock:/var/run/docker.sock", "ghcr.io/paradoxinfinite/oriel"] } } }

Claude Code: claude mcp add oriel -- oriel mcp. Setup, HTTP, scoping, and the full tool list: docs/MCP.md.

Editions & themes

The UI is a swappable plugin on a stable platform SDK: Studio (light/dark/system, custom accents). Recolor it, or drop in your own edition (see docs/THEMES.md).

Security

Out of the box Oriel has no login, and driving Docker is effectively root on the host. An optional bearer token gates remote and MCP-over-HTTP access (off by default), but the safe default is local use, or a private network only (Tailscale, ZeroTier, WireGuard, and the like). Never the public internet. Full trust model: SECURITY.md.

FAQ

Is there a GUI for Colima? Yes. Colima ships CLI-only by design, and Oriel is the browser UI it never shipped. It also drives Docker Engine, OrbStack, Podman, and remote daemons.

A free Docker Desktop alternative? Yes. Apache-2.0 licensed, no license fees, no account. Point it at any Docker-compatible engine.

Can an AI manage my containers? Yes. Run oriel mcp and point any MCP client (Claude, Cursor, a local LLM) at it. It gets the same validated, secret-masked tools as the UI, and destructive actions stay locked until you grant them.

How is it different from lazydocker? lazydocker is a terminal UI; Oriel is a graphical browser UI with dashboards, streaming logs, registry search, Compose discovery, and themeable editions.

Footprint and platforms? ~15–30 MB RAM, ~13 MB binary, no Electron. macOS (Apple Silicon + Intel) and Linux (amd64 + arm64).

Develop

make dev + make dev-web (Vite hot reload), make test. See CONTRIBUTING.md.

Oriel

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Developer toolsi

Common questions

Alternatives

GitHub

Desktop Commander

Cloudflare MCP

README from the maker

Oriel

Drive it with AI

Install

Run

Features

How it compares

AI control (MCP)

Editions & themes

Security

FAQ

Develop

License