# rendi-ffmpeg-mcp-server

> Use this tool when you need to efficiently process video and audio files in the cloud, leveraging FFmpeg commands without local installation. It solves problems related to file conversion, editing, and workflow management, accepting input commands and outputting direct download links, metadata, and cleaned-up storage. Ideal for use cases requiring fast, scalable, and automated media processing, with optional integration via git.

Canonical page: https://skillsregistry.net/skills/ctaylor86-rendi-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ctaylor86-rendi-mcp-server

## Description

Run FFmpeg commands in the cloud for fast video and audio conversions, edits, and workflows—no local install required. Chain multiple commands efficiently, monitor progress, and fetch results with direct download links and metadata. Clean up output files when finished to control storage.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** media
- **Updated:** 2026-04-27

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/ctaylor86/rendi-mcp-server)
- **Repository:** <https://github.com/ctaylor86/rendi-mcp-server>

## 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": "ctaylor86-rendi-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ctaylor86-rendi-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ctaylor86-rendi-mcp-server/pull`

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