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  1. Home
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  3. CartCut
CartCut logo
Health: ActiveRecent health check succeeded.Last checked 10/14/2026, 7:04:16 PM

CartCut

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
View Repository812 GitHub StarsTotal stargazers on GitHub for the source repository (812 stars).Visit Website
video-editingmcpclaude-codecaptionstimeline

Connects AI coding clients to CartCut’s live timeline for transcript cuts, captions, trims, motion, transitions, and effects.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "cartcut": {
      "command": "npx",
      "args": [
        "-y",
        "@cartesiancs/cartcut-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Overview

CartCut MCP server connects supported AI clients to the live timeline in the CartCut video editor. It lets agents edit projects with transcript-based cuts, subtitles, trims, clip restaging, motion, transitions, and effects, with changes recorded in CartCut’s undo history. Use it when you want Claude Code, Claude Desktop, Cursor, or Codex to control an open CartCut project through MCP. The bridge runs through the published @cartesiancs/cartcut-mcp package and uses a token supplied by CartCut.

Use cases

•Cut footage from a transcript
•Add subtitles to an open project
•Trim and restage clips with an AI client
•Apply motion, transitions, and effects
•Undo agent edits through CartCut’s history

Key features

•Live CartCut timeline access over MCP
•Transcript-based video cuts
•Subtitle and caption editing
•Clip trimming and restaging
•Motion, transition, and effect edits
•Undo-history integration

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by CartCut.

Extracted Tool Capabilities
Live CartCut timeline access over MCP
Transcript-based video cuts
Subtitle and caption editing
Clip trimming and restaging
Motion, transition, and effect edits
Undo-history integration

How CartCut works

What CartCut MCP server does

CartCut MCP server exposes an open CartCut project’s live timeline to an MCP-compatible AI client. The connection is intended for editing video rather than general file management or rendering automation. An agent can work from natural-language instructions to cut material from a transcript, add subtitles, trim or restage clips, and apply motion, transitions, and effects.

Edits are applied to the project inside CartCut and enter the application’s normal undo history. This means changes can be reversed with CartCut’s undo command, including the macOS shortcut mentioned in the project documentation. The underlying editor supports layer-based composition, text, audio mixing, keyframes, effects, and common media formats, but the README specifically describes the MCP connection in terms of timeline editing.

How it works

CartCut MCP server acts as the bridge between an MCP client and the CartCut desktop application. CartCut provides a connection command from its in-app lightning icon. That command contains a bearer token; the UUID following Bearer is the token used by the bridge.

For Claude Code, the repository provides a plugin containing the editing skill and connection setup. A separate skills CLI command can install only the skill, after which the MCP connection must be added using the command shown by CartCut. The documentation advises choosing one of these Claude Code routes rather than installing both.

Claude Desktop, Cursor, and Codex use the @cartesiancs/cartcut-mcp package. Running it with npx -y starts the bridge, which locates the token automatically after the client has been configured with the connection command.

Setup and configuration

Install the CartCut desktop application and open the project you want the agent to edit. Click the lightning icon at the bottom right of the CartCut interface and copy the connection command. For the package-based route, configure the MCP client to run:

Terminal
npx -y @cartesiancs/cartcut-mcp

The repository also documents these Claude Code options:

text
/plugin marketplace add cartesiancs/cartcut
/plugin install cartcut-editing@cartcut

or:

Terminal
npx skills add cartesiancs/cartcut --skill cartcut-editing -a claude-code -g

The second command installs the skill only, so it still requires the MCP connection command from CartCut. The README points to the plugin documentation for connection troubleshooting.

Tools and capabilities

CartCut MCP server supports agent-directed operations including:

  • Cutting video from a transcript
  • Adding subtitles or captions
  • Trimming clips
  • Restaging clips in the timeline
  • Applying motion
  • Adding transitions
  • Applying effects
  • Reversing edits through CartCut’s undo history

The broader CartCut editor also lists AI auto-captioning with Whisper, keyframe animation, audio and screen recording, chroma key, blur, drawing, and FFmpeg-based rendering. The provided MCP documentation does not state that every listed editor feature is exposed as a separate MCP tool, so those capabilities should not be assumed to be directly callable through the bridge.

Read the full README →View source on GitHub →

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Reviews

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Frequently Asked Questions about CartCut

CartCut is an MCP server that connects AI clients to the live timeline in the CartCut desktop video editor. Its main tools support transcript-based cuts, subtitle and caption edits, trimming, clip restaging, motion, transitions, and effects. Changes are applied to the open project and remain available through CartCut’s undo history.

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Technical Specs & Signals

Category💻Developer Tools
More technical detailsExpand ▾
TransportSTDIO
RuntimeNode.js
LicenseMIT
ClientsClaude Code, Claude Desktop, Cursor, OpenAI Codex CLI
Last updatedOct 14, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars812
GitHub Star CountTotal stargazers on GitHub representing community popularity (812 stars).
44Quality signal: Fair · 44/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity7/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

★ FeaturedCall4me logo

Call4me

call4me lets your AI agent make real phone calls for you. Ask Claude, ChatGPT, Cursor, Codex or your own app to book a table, schedule a dentist appointment, cancel a subscription or ask a business a question. It calls, waits on hold, gets through the phone menu, talks to the person who answers, and reports back with the outcome and a transcript. It can also ring you to join the call. Calls are paid from prepaid credits, starting at $10.

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