Video Editing MCP

Name: Video Editing MCP
Author: burningion

by burningionversion 1.0.1i★ 295iRuns on your computer

Registry nameio.github.burningion/video-editing-mcp

Overview

Description from the maker (original English)

MCP Server for Video Jungle - Analyze, Search, Generate, and Edit Videos

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 3 passedChecked from public information; code not scanned yet
UsageiEarly★ 295

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Design, images & audio
You need to fill in: VJ_API_KEY

Install

Pick the AI app you use, then copy the settings.

You need

PyPIPython’s uv installed (for the uvx command)

Claude DesktopClaude CodeCursorVS Code

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "video-editing": {
      "command": "uvx",
      "args": [
        "video-editor-mcp"
      ],
      "env": {
        "VJ_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add video-editing --env VJ_API_KEY=your-value -- uvx video-editor-mcp

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "video-editing": {
      "command": "uvx",
      "args": [
        "video-editor-mcp"
      ],
      "env": {
        "VJ_API_KEY": "your-value"
      }
    }
  }
}

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "video-editing": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "video-editor-mcp"
      ],
      "env": {
        "VJ_API_KEY": "your-value"
      }
    }
  }
}

Values you fill in

VJ_API_KEY secret required env
Video Jungle API Key (found at https://www.video-jungle.com/user/settings)

Values marked secret are keys to your account. Never share them or paste them into a chat.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 5, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account burningion, which owns the repo
✕ Fail
Still maintained
No code changes for over a year, or the repo is archived
✕ Fail
Has a licence
No licence file found in the repo
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Needs the server’s tool list first; this check starts in the next step

Compared with others in Design, images & audioi

More stars than 57% of the other 14 servers in this category
Published to the registry more recently than 0% of the other 14 servers in this category
Basic checks equal to or better than 0% of the other 14 servers in this category

Compared only with servers in this prototype, not the whole registry.

Common questions

Is Video Editing MCP safe?

It passed 1 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: VJ_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed 13 months ago, and the latest version (1.0.1) reached the registry 14 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Figma Context MCP

by GLips

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

Runs on your computer★ 16,165MITUpdated 5 months ago

Claude Real Video

by HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

Runs on your computer★ 2,284MITUpdated 2 months ago

Figma MCP Server

by figma

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

Runs in the cloud★ 2,152Updated 13 months ago

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Video Editor MCP server

See a demo here: https://www.youtube.com/watch?v=KG6TMLD8GmA

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.

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 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.

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.

search-local-videos

You must set the environment variable LOAD_PHOTOS_DB=1 in 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?

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

To allow this MCP server to search your Photos app on MacOS:

$ LOAD_PHOTOS_DB=1 uv run video-editor-mcp YOURAPIKEY

Quickstart

Install

Installing via Smithery

To install Video Editor for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install video-editor-mcp --client claude

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

Published Server Configuration

  "mcpServers": {

"video-editor-mcp": { "command": "uvx", "args": [ "video-editor-mcp", "YOURAPIKEY" ] } }

</details>

Development/Unpublished Servers Configuration

  "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/ /video-jungle-mcp", "run", "video-editor-mcp", " " ], "env": { "LOAD_PHOTOS_DB": "1" } },

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:

Sync dependencies and update lockfile:

uv sync

Build package distributions:

uv build

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

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

MCP Server Registry

mcp-name: io.github.burningion/video-editing-mcp

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 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 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 -n 90 -f app.log

Video Editing MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Values you fill in

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

Video Editor MCP server

Components

Resources

Prompts

Tools

Using Tools in Practice

Configuration

Quickstart

Install

Installing via Smithery

Claude Desktop

Development

Building and Publishing

MCP Server Registry

Debugging