Kinocut is a free, open-source video editing MCP server and AI agent workflow engine (plus Python client and kino CLI) that lets AI agents trim, caption, repurpose, and quality-gate local video…
mcp-video is an MCP project maintained in the kyanitelabs/mcp-video repository. The maintainer describes its purpose as “Kinocut is a free, open-source video editing MCP server and AI agent workflow engine (plus Python client and kino CLI) that lets AI agents trim…”. Read the project documentation for the complete scope.
The documented pypi package is kinocut. The configuration below comes from the maintainer’s example; adapt its paths and account values to your environment.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| Category | Count |
| Hyperframes | 18 |
| Revideo | 4 |
| Repurposing | 2 |
| Transitions | 3 |
| Analysis | 8 |
| Discovery | 1 |
{
"mcpServers": {
"kinocut": {
"command": "uvx",
"args": [
"--from",
"kinocut",
"kino",
"--mcp"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Independent-index web search for assistants — fresh results without the Google API maze.
Manipulates video files using FFmpeg to resize videos and extract audio in various formats.
Analyzes YouTube videos by extracting transcripts, summarizing content, and answering questions using AI.
Retrieves YouTube video URLs from a specified Watch Later playlist within a given timeframe.
Extracts subtitles from YouTube videos using a provided link.
Enables AI assistants to interact with the YouTube API through the Model Context Protocol (MCP).