# mcpCut

> mcpCut — musyta-labs-mcpcut. Use this tool when you need to edit videos with precision and control, as mcpCut solves the problem of complex video editing for AI agents by providing a journaled timeline editing interface. It takes in video inputs and outputs edited videos, utilizing FFmpeg/MLT for rendering. Ideal for use cases requiring deterministic and automated video editing, mcpCut enables efficient and reliable video processing via its CLI operation.

Canonical page: https://skillsregistry.net/skills/musyta-labs-mcpcut  
JSON: https://api.skillsregistry.net/v1/skills/musyta-labs-mcpcut

## Description

A real video editor for AI agents, served over MCP, enabling journaled timeline editing, rendering via FFmpeg/MLT, and deterministic CLI operation.

## Trust

- **Trust score (0–1):** 0.28
- **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/x15v5qmjnq)
- **Repository:** <https://github.com/musyta-labs/mcpCut>

## 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": "musyta-labs-mcpcut"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/musyta-labs-mcpcut` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/musyta-labs-mcpcut/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