Ruah

Name: Ruah
Author: 0-big

by 0-bigversion 0.1.1i★ –iRuns on your computer

Registry nametools.ruah/ruah-mcp

Install

Overview

Description from the maker (original English)

On-device image tools: background removal, compression, resize, crop, AI upscale, metadata removal.

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
UsageiEarly↓ 657/wk · ★ –

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: Design, images & audio

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

npmNode.js installed (for the npx command)

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": {
    "ruah": {
      "command": "npx",
      "args": [
        "-y",
        "ruah-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add ruah -- npx -y ruah-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "ruah": {
      "command": "npx",
      "args": [
        "-y",
        "ruah-mcp"
      ]
    }
  }
}

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": {
    "ruah": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "ruah-mcp"
      ]
    }
  }
}

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 9, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain ruah.tools (the registry checks domain ownership)
… 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 Design, images & audioi

More stars than 0% of the other 2800 servers in this category
Published to the registry more recently than 84% of the other 2800 servers in this category
Basic checks equal to or better than 100% of the other 2800 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 Ruah 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 (0.1.1) reached the registry 6 days ago.

Which apps can use it?

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

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

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

Figma Context MCP

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

by GLipsWidely used↓ 161.2K/wk★ 16.2KUpdated 5 months ago

Runs on your computer

Install

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Figma MCP Server

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

by figmaWidely used★ 2.2KUpdated 13 months ago

Runs in the cloud✓ mcp.figma.com

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.

ruah-mcp

Image tools for AI agents, as an MCP server. Background removal, compression, resizing, cropping, AI upscaling and metadata removal all run on your own computer. Images never leave it.

It is the engine of ruah.tools: the same models, encoders and settings, packaged for an agent to call.

Tools

Tool	What it does
`remove_background`	Cuts the main subject out of a photo and saves a transparent PNG (AI).
`compress`	Makes an image file smaller with little visible loss, or converts it: WebP, AVIF, JPEG, PNG.
`resize`	Changes the pixel dimensions, keeping proportions (by longest side or percent).
`crop`	Crops to an aspect ratio or exact region, rotates by quarter turns, flips. Pixels are moved, never resampled.
`upscale`	Enlarges 2× or 4× with AI super-resolution. Keeps transparency.
`strip_metadata`	Removes EXIF (GPS location, camera, date), XMP, IPTC, comments and embedded thumbnails. JPEG and PNG are cleaned without re-encoding.

Files in, files out: every tool writes a new file next to the original (or to the path you give) and returns its path with a small preview. Existing files, the original included, are never overwritten. Images up to 12000×12000 pixels (144 MP) and 512 MB are accepted; upscale results are capped at 4096×4096.

Install

Requires Node.js 20 or newer.

Claude Code

claude mcp add ruah -- npx -y ruah-mcp

Or as a plugin, which adds a short skill on chaining the tools:

claude plugin marketplace add 0-big/ruah-mcp

claude plugin install ruah@ruah-tools

Any other MCP client (Claude Desktop, Cursor, …): add this to its MCP server config.

"mcpServers": { "ruah": { "command": "npx", "args": ["-y", "ruah-mcp"] } } }

Then ask your agent things like *"remove the background from ~/Desktop/shoe.jpg"* or *"convert these screenshots to WebP"*.

What goes over the network

Only the AI model weights, once, from Ruah's model mirror (models.ruah.tools). Each file is checked against a SHA-256 hash pinned in this package before it is used, then kept in a local cache:

Model	Used by	Size	When
BiRefNet lite (512²)	`remove_background`	98 MB	Fetched in the background when the server first starts
BiRefNet (512²)	`remove_background`	473 MB	Only if the lite model finds no subject
Swin2SR ×2	`upscale` 2×	8 MB	First 2× upscale
Swin2SR ×4	`upscale` 4×	55 MB	First 4× upscale

Compression, resizing, cropping and metadata removal need no download at all.

Installing is separate: npx fetches the package and its dependencies from npm, and on Linux x64 the install script of onnxruntime-node (the AI runtime) also fetches about 260 MB of CUDA and TensorRT files from NuGet, which Ruah never uses. Set ONNXRUNTIME_NODE_INSTALL=skip in the server's environment to leave them out (the Claude Code plugin does).

The cache lives in ~/.cache/ruah/models (or $XDG_CACHE_HOME/ruah/models). Set RUAH_CACHE_DIR to put it elsewhere.

Platforms

macOS (Apple Silicon): tested. Upscaling runs on the GPU (WebGPU via Metal) and falls back to the CPU if that fails.
Linux, Windows: upscaling runs on the CPU. The full test suite runs on both (x64) for every change; arm64 builds exist but are untested.
Intel Macs are not supported: the ONNX runtime the AI tools run on ships no build for them.
HEIC (iPhone photos) can be read on macOS only. HEVC is a patent-licensed codec and only macOS provides one here.

Licenses

ruah-mcp is MIT licensed (see LICENSE). The models it downloads keep their own licenses: BiRefNet (MIT) and Swin2SR (Apache-2.0). Lossy PNG compression uses libimagequant 2.4.1, its last BSD-licensed release, compiled to WebAssembly and bundled in dist/index.js. Its notice is dist/LICENSE-libimagequant.txt.

Ruah

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 Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

ruah-mcp

Tools

Install

What goes over the network

Platforms

Licenses