# mcp-ffmpeg

> Use this tool when you need to automate video processing tasks such as trimming, format conversion, and subtitle conversion. It solves problems like inefficient manual video editing and incompatibility issues by providing a job queue-based interface that accepts natural language inputs and produces processed video outputs. Ideal for use cases where AI assistants require seamless video processing capabilities.

Canonical page: https://skillsregistry.net/skills/priyanshum143-mcp-ffmpeg  
JSON: https://api.skillsregistry.net/v1/skills/priyanshum143-mcp-ffmpeg

## Description

A job queue-based FFmpeg wrapper enabling AI assistants to perform video processing tasks such as trimming, format conversion, resolution change, and subtitle conversion through natural language.

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mm5hdg8aez)
- **Repository:** <https://github.com/priyanshum143/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": "priyanshum143-mcp-ffmpeg"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/priyanshum143-mcp-ffmpeg` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/priyanshum143-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