# @ffmpeg-micro/mcp-server

> @ffmpeg-micro/mcp-server — javidjamae-ffmpeg-micro-mcp. Use this tool when you need to automate video transcoding tasks, such as converting file formats or resizing videos, and require a programmable interface to monitor and manage the process. It solves problems like video compatibility issues and processing efficiency by providing a REST API for creating and downloading transcodes. The tool accepts video files and transcoding parameters as input and outputs transcoded videos in various formats.

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

## Description

Enables AI agents to create, monitor, and download video transcodes through the FFmpeg Micro REST API.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hh1x29wgpz)
- **Repository:** <https://github.com/javidjamae/ffmpeg-micro-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": "javidjamae-ffmpeg-micro-mcp"
    }
  }
}
```

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

---
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