Video Editor

MCP Interface for Video Jungle

python

253

GitHub Stars

python

Language

6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "burningion-video-editing-mcp": {
      "command": "uvx",
      "args": [
        "video-editor-mcp",
        "YOURAPIKEY"
      ],
      "env": {
        "LOAD_PHOTOS_DB": "1"
      }
    }
  }
}

You can upload, analyze, and orchestrate video edits using the Video Editor MCP server. By authenticating with Video Jungle and running the MCP, you enable a set of tools to add videos, build projects, generate edits from multiple sources, and search for relevant clips to craft renders efficiently.

How to use

Sign up for a Video Jungle account and obtain your API key. Start the MCP to connect your editor workflow to Video Jungle so you can upload videos, search through them, and generate video edits from multiple inputs.

How to install

Prerequisites you need to have before starting: a command line environment and the runtime tools referenced below.

# Start the MCP using your Video Jungle API key
uvx video-editor-mcp YOURAPIKEY

# If you want access to your local Photos app while searching
LOAD_PHOTOS_DB=1 uvx video-editor-mcp YOURAPIKEY

Additional setup details

If you want the MCP server to access your Photos app on macOS, enable the local Photos database access in the environment and start the server with the appropriate command.

LOAD_PHOTOS_DB=1 uv run video-editor-mcp YOURAPIKEY

Available tools

add-video

Add a video file for analysis from a URL; returns a vj:// URI to reference the video file. Analysis includes audio and visual components for retrieval.

create-videojungle-project

Create a Video Jungle project to organize generative scripts, analyzed videos, and images for video edit generation.

edit-locally

Create an OpenTimelineIO project and download it to your machine to open in Davinci Resolve Studio (Resolve Studio must be running).

generate-edit-from-videos

Generate a rendered video edit from a set of video files based on the analyzed content and prompts.

generate-edit-from-single-video

Generate an edit from a single input video file.

get-project-assets

Retrieve assets within a project for video edit generation.

search-videos

Return video matches based on embeddings and keywords for targeted editing.

update-video-edit

Live update a video edit's metadata; updates can stream in real time if the Video Jungle session is open.