# FFmpeg

> Use this tool when you need to perform multimedia processing operations, such as video trimming, format conversion, or audio extraction, on media files. It solves problems related to media manipulation, quality adjustment, and batch processing, providing a secure and efficient way to process audio and video files. The tool takes in media files as input and outputs processed files, making it ideal for workflows that require media processing without leaving the conversation interface.

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

## Description

FFmpeg-MCP provides a server implementation that enables AI models to perform multimedia processing operations using FFmpeg. Built by Amol Soans, it offers tools for video trimming, format conversion, audio extraction, watermarking, quality adjustment, and batch processing of media files. The implementation includes robust security measures like path validation and working directory isolation, comprehensive error handling, and thorough unit tests. It's particularly valuable for workflows requiring media manipulation without leaving the conversation interface, allowing models to process audio and video files directly.

## 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:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/amoldericksoans-ffmpeg)
- **Repository:** <https://github.com/amoldericksoans/ffmpeg-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": "amoldericksoans-ffmpeg"
    }
  }
}
```

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