# videopip

> videopip — zaindev97-videopip. Use this tool when you need to automate video creation with AI-driven scripting and rendering. It solves the problem of manual video editing by taking plain text descriptions as input and producing fully-rendered videos with voiceovers, motion graphics, and thumbnails as output. Ideal for use cases like Shorts creation, videopip streamlines video production through its integration with the MCP server and Claude Code plugin.

Canonical page: https://skillsregistry.net/skills/zaindev97-videopip  
JSON: https://api.skillsregistry.net/v1/skills/zaindev97-videopip

## Description

AI-driven video pipeline: describe a video in plain words, your AI (Claude, Cursor, ChatGPT) writes the spec, one command renders it. Voiceover, motion graphics, Shorts, thumbnails. MCP server + Claude Code plugin.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/zaindev97/videopip)

## 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": "zaindev97-videopip"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zaindev97-videopip` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zaindev97-videopip/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