Crabcut

realcrabcut/crabcut-mcp-server

Connects your AI assistant to CrabCut's video clipping API for turning YouTube videos into vertical short-form content. Exposes five tools: generate_clips kicks off processing and returns a project ID, get_project_status polls for completion and returns scored clips with download URLs, list_projects shows your history, get_clip fetches individual clip details, and check_usage reports your credit balance. Clips come back reframed for 9:16 with auto-generated subtitles and a relevance score. Useful if you're building content workflows where an LLM identifies interesting videos and you want downloadable clips without manual editing. Supports webhooks for async workflows and works over standard MCP transports or their HTTP endpoint for n8n integrations.

GitHub stars: 1
tools: 5
auth: Secret needed
transport: STDIO
env var: 1
last updated: Mar 15, 2026

View on GitHub

Tools

5 tools

Public tool metadata for what this MCP can expose to an agent.

generate_clipsStart AI clip generation from a YouTube video. Returns {project_id, status, poll_url, estimated_minutes}. Poll with get_project_status every 10-15 seconds, or provide a callback_url for webhook notification.4 params

Start AI clip generation from a YouTube video. Returns {project_id, status, poll_url, estimated_minutes}. Poll with get_project_status every 10-15 seconds, or provide a callback_url for webhook notification.

Parameters* required

callback_urlstring

Webhook URL to receive a POST when all clips are ready with download links.

end_timenumber

End time in seconds to clip only a segment. Omit to process the full video.

start_timenumber

Start time in seconds to clip only a segment. Omit to process the full video.

urlstring

Full YouTube video URL (e.g. https://www.youtube.com/watch?v=...)

get_project_statusReturns {id, name, status, step, error, expected_clips, duration, clips[]}. Clips sorted by score, each with clip_status (pending/exporting/completed/failed) and download_url when ready.1 params

Returns {id, name, status, step, error, expected_clips, duration, clips[]}. Clips sorted by score, each with clip_status (pending/exporting/completed/failed) and download_url when ready.

Parameters* required

project_idstring

The project ID returned by generate_clips.

list_projectsReturns {projects[], total, limit, offset}. Each project has id, name, status, step, expected_clips, clips_count, duration, created_at.2 params

Returns {projects[], total, limit, offset}. Each project has id, name, status, step, expected_clips, clips_count, duration, created_at.

Parameters* required

limitnumber

Maximum projects to return. Defaults to 20, max 100.

statusstring

Filter by status.one of pending · processing · completed · completed_no_clips · failed

get_clipReturns full clip details: id, project_id, title, duration, score, reason, export_status, export_quality, is_exported, video_url, thumbnail_url.1 params

Returns full clip details: id, project_id, title, duration, score, reason, export_status, export_quality, is_exported, video_url, thumbnail_url.

Parameters* required

clip_idstring

The unique clip ID from a project's clips array.

check_usageReturns {plan, credits_remaining, credits_total, period_start, period_end}. Check before generate_clips to confirm enough credits.

Returns {plan, credits_remaining, credits_total, period_start, period_end}. Check before generate_clips to confirm enough credits.

No parameter schema in public metadata yet.

Configuration

CRABCUT_API_KEY*secret

Your Crabcut API key from app.crabcut.ai/developers

Readme

@crabcut/mcp-server

Turn YouTube videos into short clips — from Claude, Cursor, or any AI assistant that supports MCP.

Give it a YouTube link. It finds the best moments, reframes for vertical video (9:16), adds subtitles, and returns download-ready clips.

Quick Start

Get an API key at app.crabcut.ai/developers
Run:

CRABCUT_API_KEY=sk_live_... npx @crabcut/mcp-server

Setup

Claude Desktop / Cursor

Add to your config file — claude_desktop_config.json for Claude, .cursor/mcp.json for Cursor:

{
  "mcpServers": {
    "crabcut": {
      "command": "npx",
      "args": ["@crabcut/mcp-server"],
      "env": {
        "CRABCUT_API_KEY": "sk_live_..."
      }
    }
  }
}

Cursor Directory

Install in Cursor

Smithery

View the full README on GitHub

Details

Repository: github.com/realcrabcut/crabcut-mcp-server
Category: Media & Entertainment
Package: @crabcut/mcp-server
Transport: STDIO
Auth: Required
Registry: MCP registry, active

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