# Video Tools MCP

> Use this tool when you need to automate video processing tasks, such as transcription, segment cutting, and file management, using natural language inputs. It solves problems like manual video editing and transcription, providing outputs like text transcripts and edited video files. Ideal for use cases where efficient video processing and organization are required, with inputs including video files and natural language commands.

Canonical page: https://skillsregistry.net/skills/zztopbr-video-tools-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zztopbr-video-tools-mcp

## Description

An MCP server enabling video processing via natural language: transcription with Whisper, segment cutting with FFmpeg, and file management.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r7uqvwdx8q)
- **Repository:** <https://github.com/ZZtopBR/video-tools-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": "zztopbr-video-tools-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zztopbr-video-tools-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zztopbr-video-tools-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