# ff-toolkit

> Use this tool when you need to automate video processing tasks, such as clipping, merging, or transcoding, and integrate them with large language models (LLMs). The ff-toolkit provides a set of tools exposed as an MCP server, accepting video files and operation parameters as input and producing processed videos as output. It solves problems in video editing and formatting, making it ideal for use cases that require automated video manipulation.

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

## Description

Enables LLMs to perform FFmpeg operations like clipping, merging, extracting audio, adding subtitles, and transcoding videos via a set of tools exposed as an MCP server.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jjxh6ph49f)
- **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-ff-toolkit"
    }
  }
}
```

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