# FFmpeg Helper

> Use this tool when you need to perform common video operations such as format conversion, audio extraction, and video trimming without direct command-line access to FFmpeg. It provides a standardized interface for AI assistants to access FFmpeg's capabilities, accepting structured inputs and returning detailed media information. Ideal for applications requiring video manipulation, it simplifies complex FFmpeg commands into simple tool calls.

Canonical page: https://skillsregistry.net/skills/sworddut-ffmpeg-helper  
JSON: https://api.skillsregistry.net/v1/skills/sworddut-ffmpeg-helper

## Description

MCP-FFmpeg-Helper is a server implementation that provides AI assistants with access to FFmpeg's powerful video processing capabilities through a standardized interface. It exposes a suite of tools for common video operations including format conversion, audio extraction, video trimming, watermark addition, frame extraction, and detailed media information retrieval. The server uses a stdio transport layer to communicate with AI assistants, transforming complex FFmpeg commands into simple tool calls with structured inputs, making it particularly useful for applications requiring video manipulation without direct command-line access to FFmpeg.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sworddut-ffmpeg-helper)
- **Repository:** <https://github.com/sworddut/mcp-ffmpeg-helper>

## 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": "sworddut-ffmpeg-helper"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sworddut-ffmpeg-helper` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sworddut-ffmpeg-helper/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