Video Editor
About
Integrates with Video Jungle API to enable AI-powered video editing and content searching through natural language queries and automated clip generation.
Details
- Author
- burningion
- Repository
- burningion/video-editing-mcp
- GitHub stars
- 110
- Downloads
- 16,891
- Categories
- Productivity, Other, Media, API, Developer Tools, Design, File Management, AI, Search, Cloud Service, Frontend
Jump to
- Upload videos from URLs and analyze them.
- Create projects to organize video assets.
- Search videos using embeddings and keywords.
- Generate video edits from one or multiple videos.
- Live-update edits in real time via Video Jungle.
- Export edits as OpenTimelineIO for Davinci Resolve Studio.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Video EditorCommand (node, npx, python, etc.)uvArguments-
Argument 1
--directory -
Argument 2
/Users/YOURDIRECTORY/video-editor-mcp -
Argument 3
run -
Argument 4
video-editor-mcp -
Argument 5
YOURAPIKEY
Environment-
LOAD_PHOTOS_DB
1
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
To install Video Editor for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install video-editor-mcp --client claude
add-video
Add a Video File for analysis from a URL. Returns a vj:// URI to reference the Video file.
create-videojungle-project
Creates a Video Jungle project to contain generative scripts, analyzed videos, and images for video edit generation.
edit-locally
Creates an OpenTimelineIO project and downloads it to your machine to open in a Davinci Resolve Studio instance (Resolve Studio must already be running before calling this tool).
generate-edit-from-videos
Generates a rendered video edit from a set of video files.
generate-edit-from-single-video
Generate an edit from a single input video file.
get-project-assets
Get assets within a project for video edit generation.
search-videos
Returns video matches based upon embeddings and keywords.
update-video-edit
Live update a video edit's information. If Video Jungle is open, edit will be updated in real time.
The server implements a few tools:
- add-video
- Add a Video File for analysis from a URL. Returns an vj:// URI to reference the Video file
- create-videojungle-project
- Creates a Video Jungle project to contain generative scripts, analyzed videos, and images for video edit generation
- edit-locally
- Creates an OpenTimelineIO project and downloads it to your machine to open in a Davinci Resolve Studio instance (Resolve Studio _must_ already be running before calling this tool.)
- generate-edit-from-videos
- Generates a rendered video edit from a set of video files
- generate-edit-from-single-video
- Generate an edit from a single input video file
- get-project-assets
- Get assets within a project for video edit generation.
- search-videos
- Returns video matches based upon embeddings and keywords
- update-video-edit
- Live update a video edit's information. If Video Jungle is open, edit will be updated in real time.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"video editor": {
"env": {
"LOAD_PHOTOS_DB": "1"
},
"args": [
"--directory",
"/Users/YOURDIRECTORY/video-editor-mcp",
"run",
"video-editor-mcp",
"YOURAPIKEY"
],
"command": "uv"
}
}
}
Linux
{
"env": {
"LOAD_PHOTOS_DB": "1"
},
"args": [
"--directory",
"/Users/YOURDIRECTORY/video-editor-mcp",
"run",
"video-editor-mcp",
"YOURAPIKEY"
],
"command": "uv"
}
Macos
{
"env": {
"LOAD_PHOTOS_DB": "1"
},
"args": [
"--directory",
"/Users/YOURDIRECTORY/video-editor-mcp",
"run",
"video-editor-mcp",
"YOURAPIKEY"
],
"command": "uv"
}
Windows
{
"env": {
"LOAD_PHOTOS_DB": "1"
},
"args": [
"--directory",
"/Users/YOURDIRECTORY/video-editor-mcp",
"run",
"video-editor-mcp",
"YOURAPIKEY"
],
"command": "uv"
}
See a demo here:https://www.youtube.com/watch?v=KG6TMLD8GmA
Upload, edit, search, and generate videos from everyone's favorite LLM andVideo Jungle.
You'll need to sign up for an account atVideo Junglein order to use this tool, and add your API key.
The server implements an interface to upload, generate, and edit videos with:
- Custom vj:// URI scheme for accessing individual videos and projects
- Each project resource has a name, description
- Search results are returned with metadata about what is in the video, and when, allowing for edit generation directly
- add-video
- Add a Video File for analysis from a URL. Returns an vj:// URI to reference the Video file
- Creates a Video Jungle project to contain generative scripts, analyzed videos, and images for video edit generation
- Creates an OpenTimelineIO project and downloads it to your machine to open in a Davinci Resolve Studio instance (Resolve Studiomustalready be running before calling this tool.)
- Generates a rendered video edit from a set of video files
- Generate an edit from a single input video file
- Get assets within a project for video edit generation.
- Returns video matches based upon embeddings and keywords
- Live update a video edit's information. If Video Jungle is open, edit will be updated in real time.
In order to use the tools, you'll need to sign up for Video Jungle and add your API key.
Here's an example prompt to invoke theadd-videotool:
can you download the video at https://www.youtube.com/shorts/RumgYaH5XYw and name it fly traps?
This will download a video from a URL, add it to your library, and analyze it for retrieval later. Analysis is multi-modal, so both audio and visual components can be queried against.
Once you've got a video downloaded and analyzed, you can then do queries on it using thesearch-videostool:
Search results contain relevant metadata for generating a video edit according to details discovered in the initial analysis.
You must set the environment variableLOAD_PHOTOS_DB=1in order to use this tool, as it will make Claude prompt to access your files on your local machine.
Once that's done, you can search through your Photos app for videos that exist on your phone, using Apple's tags.
In my case, when I search for "Skateboard", I get 1903 video files.
can you search my local video files for Skateboard?
Finally, you can use these search results to generate an edit:
can you create an edit of all the times the video says "fly trap"?
(Currently), the video edits tool relies on the context within the current chat.
Finally, you can cut down an edit from a single, existing video:
can you create an edit of all the times this video says the word "fly trap"?
You must login toVideo Jungle settings, and get yourAPI key. Then, use this to start Video Jungle MCP:
To allow this MCP server to search your Photos app on MacOS:
$ LOAD_PHOTOS_DB=1 uv run video-editor-mcp YOURAPIKEY
To install Video Editor for Claude Desktop automatically viaSmithery:
npx -y @smithery/cli install video-editor-mcp --client claude
You'll need to adjust yourclaude_desktop_config.jsonmanually:
On MacOS:~/Library/Application\ Support/Claude/claude_desktop_config.jsonOn Windows:%APPDATA%/Claude/claude_desktop_config.json
"mcpServers": { "video-editor-mcp": { "command": "uvx", "args": [ "video-editor-mcp", "YOURAPIKEY" ] } }
"mcpServers": { "video-editor-mcp": { "command": "uv", "args": [ "--directory", "/Users/YOURDIRECTORY/video-editor-mcp", "run", "video-editor-mcp", "YOURAPIKEY" ] } }
With local Photos app access enabled (search your Photos app):
"video-jungle-mcp": { "command": "uv", "args": [ "--directory", "/Users/<PATH_TO>/video-jungle-mcp", "run", "video-editor-mcp", "<YOURAPIKEY>" ], "env": { "LOAD_PHOTOS_DB": "1" } },
Be sure to replace the directories with the directories you've placed the repository in onyourcomputer.
To prepare the package for distribution:
This will create source and wheel distributions in thedist/directory.
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token:--tokenorUV_PUBLISH_TOKEN
- Or username/password:--username/UV_PUBLISH_USERNAMEand--password/UV_PUBLISH_PASSWORD
mcp-name: io.github.burningion/video-editing-mcp
Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using theMCP Inspector.
You can launch the MCP Inspector vianpmwith this command:
(Be sure to replaceYOURDIRECTORYandYOURAPIKEYwith the directory this repo is in, and your Video Jungle API key, found in the settings page.)
npx @modelcontextprotocol/inspector uv run --directory /Users/YOURDIRECTORY/video-editor-mcp video-editor-mcp YOURAPIKEY
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
Additionally, I've added logging toapp.login the project directory. You can add logging to diagnose API calls via a:
logging.info("this is a test log")
A reasonable way to follow along as you're workin on the project is to open a terminal session and do a:
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