# Video Editor

> Use this tool when you need to streamline video editing workflows and efficiently search video content using AI-assisted technology. It solves problems such as manual video searching and editing by providing tools for adding videos, searching content using embeddings, and generating edits from single or multiple files. The Video Editor takes in video files and natural language queries as inputs and outputs edited videos and relevant video clips, making it ideal for content creators and video editors seeking to automate tasks and enhance productivity.

Canonical page: https://skillsregistry.net/skills/burningion-video-editing  
JSON: https://api.skillsregistry.net/v1/skills/burningion-video-editing

## Description

This MCP server, developed by Kirk Kaiser, enables AI-assisted video editing and searching using the Video Jungle API. It provides tools for adding videos, searching video content using embeddings, and generating edits from single or multiple video files. The implementation is built in Python 3.11+ and integrates with libraries like einops, timm, and transformers for advanced video processing capabilities. It's designed for content creators and video editors who want to leverage AI to streamline their workflow, allowing for natural language queries to find relevant video clips and automate editing tasks. The server also includes an optional feature to search local video files on macOS, making it versatile for both cloud-based and local video management.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-05-27

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/burningion-video-editing)
- **Repository:** <https://github.com/burningion/video-editing-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "burningion-video-editing"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/burningion-video-editing` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/burningion-video-editing/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
