# FFmpeg Toolkit

> Use this tool when you need to process and manipulate video files, convert formats, or extract specific frames and clips. The FFmpeg Toolkit solves problems related to video editing, formatting, and optimization, allowing AI assistants to execute tasks through natural language instructions. It takes video files and commands as input and produces formatted videos, clips, or frames as output.

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

## Description

MCP server wrapping FFmpeg to expose video processing capabilities as five structured tools, enabling AI assistants to convert formats, trim clips, extract frames, and manipulate video files through natural language instructions.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/inthepond-ffmpeg)
- **Repository:** <https://github.com/inthepond/ff-toolkit>

## 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": "inthepond-ffmpeg"
    }
  }
}
```

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