Shotcut MCP

Name: Shotcut MCP
Author: NoBanks

by NoBanksversion 0.2.1i★ –iRuns on your computer

Registry nameio.github.NoBanks/shotcut-mcp

Install

Overview

Description from the maker (original English)

Edit video through Shotcut's MLT engine: timelines, cuts, filters, titles, crossfades and renders.

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

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: SHOTCUT_MCP_WORKDIR, MELT_BIN, FFPROBE_BIN

You need

PyPIPython’s uv installed (for the uvx 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": {
    "shotcut": {
      "command": "uvx",
      "args": [
        "shotcut-mcp"
      ],
      "env": {
        "SHOTCUT_MCP_WORKDIR": "your-value",
        "MELT_BIN": "your-value",
        "FFPROBE_BIN": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add shotcut --env SHOTCUT_MCP_WORKDIR=your-value --env MELT_BIN=your-value --env FFPROBE_BIN=your-value -- uvx shotcut-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": {
    "shotcut": {
      "command": "uvx",
      "args": [
        "shotcut-mcp"
      ],
      "env": {
        "SHOTCUT_MCP_WORKDIR": "your-value",
        "MELT_BIN": "your-value",
        "FFPROBE_BIN": "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": {
    "shotcut": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "shotcut-mcp"
      ],
      "env": {
        "SHOTCUT_MCP_WORKDIR": "your-value",
        "MELT_BIN": "your-value",
        "FFPROBE_BIN": "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

SHOTCUT_MCP_WORKDIR env
Directory for .mlt projects and state files (default ~/shotcut-mcp-projects)
MELT_BIN env
Path to the MLT melt binary if it is not on PATH
FFPROBE_BIN env
Path to ffprobe if it is not on PATH

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 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account NoBanks, 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 2754 servers in this category
Published to the registry more recently than 79% of the other 2754 servers in this category
Basic checks equal to or better than 100% of the other 2754 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 Shotcut MCP 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 (0.2.1) reached the registry 9 days ago.

Which apps can use it?

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

What can I use instead?

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

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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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.

shotcut-mcp

MCP server that edits video through Shotcut's engine, MLT, with no GUI. An agent can create a project, add and trim clips, split, move and remove them, apply filters, add titles and crossfades, read the timeline back and render it with melt.

The output is a native Shotcut .mlt project, not a locked video file. Open the agent's cut in Shotcut and keep editing it by hand.

Requirements

Python 3.11+
MLT melt on PATH, or set MELT_BIN to its full path. Installing Shotcut includes melt.
Linux: sudo apt install melt
macOS: install Shotcut, then set MELT_BIN=/Applications/Shotcut.app/Contents/MacOS/melt
Windows: install Shotcut, then set MELT_BIN to melt.exe inside the Shotcut folder. Windows rendering is not yet covered by CI.
ffprobe (from FFmpeg) on PATH for reading clip durations and checking renders. Override with FFPROBE_BIN.

Install

Run it with no install step using uv:

uvx shotcut-mcp

Or install it with pip:

pip install shotcut-mcp

shotcut-mcp

The server talks MCP over stdio.

Use it with goose

goose Desktop or CLI

Run goose configure, choose Add Extension, then Command-line Extension.
Name: shotcut
Command: uvx shotcut-mcp
Timeout: 600 seconds or more. Renders take longer than goose's default.
Add the environment variables SHOTCUT_MCP_WORKDIR and, if melt is not on your PATH, MELT_BIN.

config.yaml

Add this to ~/.config/goose/config.yaml:

extensions:

shotcut: enabled: true type: stdio name: shotcut cmd: uvx args:

shotcut-mcp envs: SHOTCUT_MCP_WORKDIR: /path/to/your/projects timeout: 600

Then ask goose something like: *"Make a project called promo from clip1.mp4 and clip2.mp4, keep the first 5 seconds of each, crossfade them, add the title 'Launch day' and render it."*

Use it with other MCP clients

Any MCP client that runs stdio servers works. For example, Claude Desktop's claude_desktop_config.json:

"mcpServers": { "shotcut": { "command": "uvx", "args": ["shotcut-mcp"], "env": { "SHOTCUT_MCP_WORKDIR": "/path/to/your/projects" } } } }

Configuration

Variable	Default	What it does
`SHOTCUT_MCP_WORKDIR`	`~/shotcut-mcp-projects`	Where `.mlt` projects and their state files are saved
`MELT_BIN`	`melt`	Path to the `melt` binary used for rendering
`FFPROBE_BIN`	`ffprobe`	Path to `ffprobe`, used to read source durations

Tools

Tool	What it does
`create_project`	Create a new project with a frame size and frame rate
`add_clip`	Append a span of a source video to the end of the timeline. Returns the clip's id
`trim_clip`	Change a clip's source in and out points
`remove_clip`	Ripple-delete one clip
`move_clip`	Move a clip to a new position on the timeline
`split_clip`	Split a clip into two at a point inside it
`remove_segment`	Ripple-delete a span of the timeline
`append_text_overlay`	Burn a text title onto the timeline between two times
`apply_filter`	Apply `brightness`, `volume`, `crop`, `fadeInBrightness`, `fadeOutBrightness`, `fadeInAudio` or `fadeOutAudio` to a clip
`set_transition`	Crossfade video and audio between two adjacent clips
`get_timeline`	Return the whole edit: clips, source in and out, timeline positions, filters, transitions and titles
`project_info`	Return summary metadata for a project
`render`	Render a project to a video file with `melt`
`list_projects`	List the projects in the work directory

Clip ids stay stable across calls. The edit state is kept in a .state.json file next to each .mlt, and the .mlt is regenerated from it after every change.

Current limits

One video track. Multitrack video and audio is planned.
Edits made by hand in the Shotcut GUI are overwritten by the next tool call. Safe round trips are planned.
The style option on set_transition is accepted but only a dissolve is rendered today.

Development

pip install -e ".[dev]"

pytest

The render tests are skipped when melt is not installed.

License

MIT

Shotcut MCP

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

shotcut-mcp

Requirements

Install

Use it with goose

goose Desktop or CLI

config.yaml

Use it with other MCP clients

Configuration

Tools

Current limits

Development

License