# Video Editor MCP server
 
Upload, edit, and generate videos from everyone's favorite LLM and [Video Jungle](https://www.video-jungle.com/).

You'll need to sign up for an account at [Video Jungle](https://app.video-jungle.com/register) in order to use this tool, and add your API key.

[![PyPI version](https://badge.fury.io/py/video-editor-mcp.svg)](https://badge.fury.io/py/video-editor-mcp)

## Components

### Resources

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

### Prompts

Coming soon.

### Tools

The server implements a few tools:
- add-video: Add a video from a URL
  - Returns an vj:// URI to reference the Video file
- search-videos: Search videos using embeddings
  - Returns video matches based upon embeddings and keywords
- 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

### Using Tools in Practice

In order to use the tools, you'll need to sign up for Video Jungle and add your API key.

**add-video**

Here's an example prompt to invoke the `add-video` tool:

```
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.

**search-videos**

Once you've got a video downloaded and analyzed, you can then do queries on it using the `search-videos` tool:

```
can you search my videos for fly traps?
```

Search results contain relevant metadata for generating a video edit according to details discovered in the initial analysis.

**generate-edit-from-videos**

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. 

**generate-edit-from-single-video**

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"?
```

## Configuration

You must login to [Video Jungle settings](https://app.video-jungle.com/profile/settings), and get your [API key](https://app.video-jungle.com/profile/settings). Then, use this to start Video Jungle MCP:

```bash
$ uv run video-editor-mcp YOURAPIKEY
```

## Quickstart

### Install

#### Claude Desktop

You'll need to adjust your `claude_desktop_config.json` manually:

On MacOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json`
On Windows: `%APPDATA%/Claude/claude_desktop_config.json`

<details>
<details>
  <summary>Published Server Configuration</summary>
  
 ```json
  "mcpServers": {
    "video-editor-mcp": {
      "command": "uvx",
      "args": [
        "video-editor-mcp",
        "YOURAPIKEY"
      ]
    }
  }
  ```
</details>
  <summary>Development/Unpublished Servers Configuration</summary>
  
 ```json
  "mcpServers": {
    "video-editor-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "/Users/YOURDIRECTORY/video-editor-mcp",
        "run",
        "video-editor-mcp",
        "YOURAPIKEY"
      ]
    }
  }
  ```

</details>

Be sure to replace the directories with the directories you've placed the repository in on **your** computer.

## Development

### Building and Publishing

To prepare the package for distribution:

1. Sync dependencies and update lockfile:
```bash
uv sync
```

2. Build package distributions:
```bash
uv build
```

This will create source and wheel distributions in the `dist/` directory.

3. Publish to PyPI:
```bash
uv publish
```

Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token: `--token` or `UV_PUBLISH_TOKEN`
- Or username/password: `--username`/`UV_PUBLISH_USERNAME` and `--password`/`UV_PUBLISH_PASSWORD`

### Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging
experience, we strongly recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector).


You can launch the MCP Inspector via [`npm`](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) with this command:

(Be sure to replace `YOURDIRECTORY` and `YOURAPIKEY` with the directory this repo is in, and your Video Jungle API key, found in the settings page.)

```bash
npx @modelcontextprotocol/inspector uv --directory /Users/YOURDIRECTORY/video-editor-mcp run 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 to `app.log` in 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:

```bash
$ tail -f 90 app.log
```
