CartCut

Name: CartCut
Author: cartesiancs

by cartesiancsversion 0.1.0i★ –iRuns on your computer

Registry nameio.github.cartesiancs/cartcut

Install

Overview

Description from the maker (original English)

Edit video in the CartCut desktop editor: cuts from a transcript, captions, motion, effects.

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: Design, images & audio
You need to fill in: CARTCUT_MCP_TOKEN

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).
You fill in yourself: CARTCUT_MCP_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

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": {
    "cartcut": {
      "command": "npx",
      "args": [
        "-y",
        "@cartesiancs/cartcut-mcp"
      ],
      "env": {
        "CARTCUT_MCP_TOKEN": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add cartcut --env CARTCUT_MCP_TOKEN=your-value -- npx -y @cartesiancs/cartcut-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "cartcut": {
      "command": "npx",
      "args": [
        "-y",
        "@cartesiancs/cartcut-mcp"
      ],
      "env": {
        "CARTCUT_MCP_TOKEN": "your-value"
      }
    }
  }
}

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": {
    "cartcut": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@cartesiancs/cartcut-mcp"
      ],
      "env": {
        "CARTCUT_MCP_TOKEN": "your-value"
      }
    }
  }
}

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.

Values you fill in

CARTCUT_MCP_TOKEN secret env
Optional. CartCut's MCP token; read from CartCut's own settings when unset.

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 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account cartesiancs, 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 Design, images & audioi

More stars than 0% of the other 2172 servers in this category
Published to the registry more recently than 42% of the other 2172 servers in this category
Basic checks equal to or better than 100% of the other 2172 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 CartCut 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?

You need to fill in: CARTCUT_MCP_TOKEN

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 (0.1.0) reached the registry 37 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:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Figma Context MCP

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

Runs on your computer★ 16,165MITUpdated 5 months ago

Install

Claude Real Video

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Let any LLM watch a video locally — and search everything it has ever watched.

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Figma MCP Server

by figma

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.

Runs in the cloud★ 2,152Updated 13 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.

@cartesiancs/cartcut-mcp

Connects Claude, and any other MCP client, to the CartCut video editor running on your computer. Claude edits the project you have open: cutting from a transcript, adding captions, trimming and restaging clips, motion, transitions and effects. Every edit lands in CartCut's own undo history, so ⌘Z takes it back.

CartCut runs its MCP server inside the app, on http://127.0.0.1:9826/mcp. This package is the stdio side of that connection: the client starts it, and it relays every message to the app and back. It needs no configuration: it reads CartCut's token from CartCut's own settings.

Requirements

CartCut, open. Download it here.
Node.js 18 or later, for npx.

Install

Claude Code

claude mcp add cartcut -- npx -y @cartesiancs/cartcut-mcp

Add -s user to have it in every project. For the editing skill as well, which is what makes Claude a good editor rather than one that merely has the tools, install the plugin instead: plugins/cartcut-editing. If the skill is not installed, the bridge tells Claude where to read it.

Claude Desktop, Cursor and other clients

"mcpServers": { "cartcut": { "command": "npx", "args": ["-y", "@cartesiancs/cartcut-mcp"] } } }

Codex

codex mcp add cartcut -- npx -y @cartesiancs/cartcut-mcp

Configuration

Both variables are optional.

Variable	Default
`CARTCUT_MCP_TOKEN`	read from CartCut's settings	The token under the ⚡ icon at the bottom right of the CartCut window.
`CARTCUT_MCP_URL`	`http://127.0.0.1:9826/mcp`	Where CartCut listens.

Without CARTCUT_MCP_TOKEN, the token comes from CartCut's config.json:

macOS: ~/Library/Application Support/cartcut-app/config.json
Windows: %APPDATA%\cartcut-app\config.json
Linux: ~/.config/cartcut-app/config.json

Behaviour worth knowing

CartCut can restart underneath a session. Quit it, update it, open it again: the next call opens a new session with the app and carries on, and the client is told to re-read the tool list.

A call is never sent twice. If CartCut closes while a tool call is running, the call is answered with an error rather than retried, because it may already have changed the timeline. Look at the editor before asking again.

Nothing leaves the machine. The bridge only ever talks to the address above.

Troubleshooting

*"CartCut is not running, or its MCP bridge is off"*: open CartCut, then reconnect (/mcp in Claude Code).
*"CartCut refused the token"*: CARTCUT_MCP_TOKEN is set to an old token. Unset it, or copy the current one from the ⚡ icon.
*"There is no CartCut token"*: CartCut has never been opened on this account. Open it once.

npx -y @cartesiancs/cartcut-mcp --version prints the version. The bridge logs to stderr and never to stdout, which carries the protocol.

License

MIT

CartCut

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

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

@cartesiancs/cartcut-mcp

Requirements

Install

Claude Code

Claude Desktop, Cursor and other clients

Codex

Configuration

Behaviour worth knowing

Troubleshooting

License