# ffmpeg-mcp

> Use this tool when you need to process, analyze, or stream video and audio files using natural language commands, leveraging 40+ FFmpeg tools to solve tasks such as format conversion, encoding, and streaming. It takes in natural language inputs and outputs processed media files, enabling efficient media handling. Ideal for use cases requiring automated media processing, analysis, or streaming in various contexts, including content creation and distribution.

Canonical page: https://skillsregistry.net/skills/dubnium0-ffmpeg-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dubnium0-ffmpeg-mcp

## Description

Enables comprehensive video/audio processing, analysis, and streaming via natural language by exposing 40+ FFmpeg tools as MCP tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/sxluhxqpq3)
- **Repository:** <https://github.com/dubnium0/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": "dubnium0-ffmpeg-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dubnium0-ffmpeg-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dubnium0-ffmpeg-mcp/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