How does Crabcut differ from manual clip cutting?
Crabcut uses AI to detect the best moments, reframes them to vertical format, and adds subtitles automatically — all from a single YouTube link and an API call.
@realcrabcut
Basic information
Turn YouTube videos into short clips — from Claude, Cursor, or any AI assistant that supports MCP.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"crabcut": {
"command": "npx",
"args": [
"@crabcut/mcp-server"
],
"env": {
"CRABCUT_API_KEY": "<YOUR_API_KEY>"
}
}
}
}Start clip generation from a YouTube URL. Returns a `project_id` right away.
Check progress and get clips when ready. Clips are sorted by score (best first).
List your projects with status and clip counts.
Get full details for a single clip.
See your plan, remaining credits, and usage.
Crabcut is an MCP server that turns YouTube videos into short, vertical (9:16) clips with subtitles and download links. It is designed for AI assistants like Claude, Cursor, or any MCP‑compatible automation workflow.
Get an API key at app.crabcut.ai/developers, then run CRABCUT_API_KEY=sk_live_... npx @crabcut/mcp-server. The server connects via stdio; for remote usage use the endpoint https://mcp.crabcut.ai/mcp with Bearer token authentication.
Crabcut uses AI to detect the best moments, reframes them to vertical format, and adds subtitles automatically — all from a single YouTube link and an API call.
You need a Crabcut API key (free/paid plan) and Node.js to run the npx command. No additional databases or local storage are required — all processing happens on Crabcut’s servers.
Clips are hosted on Crabcut’s CDN and accessible via `download_url` in the response. They are not stored locally; you can re‑download them as long as the URL is valid.
The server supports stdio (for local MCP clients) and Streamable HTTP (for remote clients like n8n). Authentication is via an API key passed as an environment variable or Bearer token.
Errors include invalid YouTube URL (400), unauthorized API key (401), insufficient credits (402), rate limit exceeded (429), and internal server errors (500). Credits are consumed per project.
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