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

1. Run goose configure, choose Add Extension, then Command-line Extension.
2. Name: shotcut
3. Command: uvx shotcut-mcp
4. Timeout: 600 seconds or more. Renders take longer than goose's default.
5. 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

Tools

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