# mcp-ffmpeg

> mcp-ffmpeg — korals-ai-mcp-ffmpeg. Use this tool when you need to automate video processing tasks, such as clipping, transcoding, or extracting audio and frames, and integrate them into your workflow via typed operations. It solves problems related to video format conversion, resizing, and extraction, providing outputs in various formats. It takes video files as input and produces processed video, audio, or image files as output.

Canonical page: https://skillsregistry.net/skills/korals-ai-mcp-ffmpeg  
JSON: https://api.skillsregistry.net/v1/skills/korals-ai-mcp-ffmpeg

## Description

MCP server exposing ffmpeg as typed operations — probe, clip, transcode, scale, extract audio and frames

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/korals-ai/mcp-ffmpeg)

## 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": "korals-ai-mcp-ffmpeg"
    }
  }
}
```

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