Metadata-Version: 2.3
Name: video-editor-mcp
Version: 0.1.4
Summary: Video Jungle MCP Server for Adding, Analysing, Searching, and Editing Videos
Project-URL: Homepage, https://github.com/burningion/video-editing-mcp
Project-URL: Issues, https://github.com/burningion/video-editing-mcp/issues
Author-email: Kirk Kaiser <kirk@zothcorp.com>
Requires-Python: >=3.11
Requires-Dist: mcp>=1.0.0
Description-Content-Type: text/markdown

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

[![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 project
- Each project resource has a name, description

### 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 first add videos. Here's an example prompt:

```
can you download the video at https://www.youtube.com/shorts/RumgYaH5XYw and name it fly traps?
```

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

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

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"?
```

## Configuration

You must login to [Video Jungle settings](https://app.video-jungle.com/profile/settings), and get your API key. 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>
  <summary>Development/Unpublished Servers Configuration</summary>
  ```
  "mcpServers": {
    "video-editor-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "/Users/YOURDIRECTORY/video-jungle-mcp",
        "run",
        "video-editor-mcp",
        "YOURAPIKEY"
      ]
    }
  }
  ```
</details>

<details>
  <summary>Published Servers Configuration</summary>
  ```
  "mcpServers": {
    "video-editor-mcp": {
      "command": "uvx",
      "args": [
        "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-jungle-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 app.log
```
