video-editing-mcp

  • Image & Video Processing
Python
6
  • Apple
-
security - not tested
F
license - not found
-
quality - not tested

Upload, edit, and generate videos from everyone's favorite LLM and Video Jungle.

  1. Tools
  2. Prompts
  3. Resources
  4. Server Configuration
  5. README.md

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Tools

Functions exposed to the LLM to take actions

NameDescription

No tools

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
YOURAPIKEYYesYour Video Jungle API key
UV_PUBLISH_TOKENNoToken for publishing to PyPI
UV_PUBLISH_PASSWORDNoPassword for publishing to PyPI
UV_PUBLISH_USERNAMENoUsername for publishing to PyPI
README.md

Video Editor MCP server

Upload, edit, search, and generate videos from everyone's favorite LLM and Video Jungle.

You'll need to sign up for an account at Video Jungle in order to use this tool, and add your API key.

PyPI version

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, and get your API key. Then, use this to start Video Jungle MCP:

$ 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>
"mcpServers": { "video-editor-mcp": { "command": "uvx", "args": [ "video-editor-mcp", "YOURAPIKEY" ] } }
</details> <summary>Development/Unpublished Servers Configuration</summary>
"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:
uv sync
  1. Build package distributions:
uv build

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

  1. Publish to PyPI:
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.

You can launch the MCP Inspector via 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.)

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:

$ tail -f 90 app.log

GitHub Badge

Glama performs regular codebase and documentation scans to:

  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues with dependencies of the server.
  • Extract server characteristics such as tools, resources, prompts, and required parameters.

Our directory badge helps users to quickly asses that the MCP server is safe, server capabilities, and instructions for installing the server.

Copy the following code to your README.md file:

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