# mcp-ffmpeg

> Use this tool when you need to edit video and audio files, as it provides 30+ FFmpeg tools via MCP, enabling operations like trimming, transcoding, and overlays. It solves problems such as format incompatibility, video composition, and audio synchronization, and accepts input files and parameters, outputting edited media. Ideal for use cases requiring automated media editing, such as content creation, post-production, and streaming.

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

## Description

Provides 30+ FFmpeg video and audio editing tools via MCP, enabling AI assistants to perform operations like trimming, transcoding, overlays, and composition directly.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sph2mytcnd)
- **Repository:** <https://github.com/kevinten-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": "kevinten-ai-mcp-ffmpeg"
    }
  }
}
```

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