# Vids

> Use this tool when you need to automate video rendering, generation, and validation tasks, such as creating captioned videos, motion graphics, and storyboards. Vids solves problems related to video workflow efficiency, supporting multiple rendering paths, including FFmpeg, Remotion, and Google Vids. It takes input via a local server interface and outputs rendered videos, storyboards, and validation results, ideal for use cases requiring fast and flexible video production.

Canonical page: https://skillsregistry.net/skills/amirouni-vids  
JSON: https://api.skillsregistry.net/v1/skills/amirouni-vids

## Description

Vids is a local Go MCP server for video workflows supporting three rendering paths: FFmpeg for fast captioned video generation, Remotion for motion graphics, and Google Vids via Playwright browser automation. It exposes approximately 12 tools for video rendering, storyboard generation, validation, and export. Requires local ffmpeg, Node.js 22+, and Chrome.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-31

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/amirouni-vids)
- **Repository:** <https://github.com/amirouni/vids-mcp-go>

## 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": "amirouni-vids"
    }
  }
}
```

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