# Video Edit (MoviePy)

> Use this tool when you need to automate complex video editing tasks, such as trimming, merging, and applying effects to videos. It solves problems like efficient video processing, format conversion, and audio manipulation, and accepts inputs like video files, audio tracks, and text/images for overlays. The tool provides outputs like edited video files, extracted frames, and mixed audio tracks, making it ideal for content creators, developers, and AI assistants in need of programmable video editing capabilities.

Canonical page: https://skillsregistry.net/skills/aditya2755-video-edit-moviepy  
JSON: https://api.skillsregistry.net/v1/skills/aditya2755-video-edit-moviepy

## Description

A comprehensive video editing MCP server built with MoviePy that provides extensive video and audio processing capabilities including trimming, merging, resizing, cropping, rotation, speed adjustment, format conversion, and effects like fade in/out, grayscale conversion, and mirroring. The implementation features an in-memory object store system for chaining operations efficiently, supports YouTube video downloading via yt-dlp, and includes advanced features like text/image overlays, frame extraction, video splitting, and audio manipulation tools such as volume adjustment, looping, and track mixing. Designed for automated video editing workflows, it's particularly valuable for content creators, developers building video processing applications, and AI assistants that need to perform complex video editing tasks programmatically without manual intervention.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/aditya2755-video-edit-moviepy)
- **Repository:** <https://github.com/aditya2755/video-edit-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": "aditya2755-video-edit-moviepy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aditya2755-video-edit-moviepy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aditya2755-video-edit-moviepy/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