ssemble-mcp-server
Create AI-powered short-form video clips from YouTube videos using any AI assistant. 9 tools for creating shorts, browsing caption templates, music, gameplay overlays, and meme hooks.
README
Ssemble MCP Server
MCP server for Ssemble AI Clipping — create viral short-form videos from any AI assistant.
Works with Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, and any MCP-compatible client.
What it does
This MCP server lets AI assistants create short-form video clips from YouTube videos using Ssemble's AI clipping engine. The AI can:
- Create shorts from YouTube URLs or uploaded files
- Browse assets — caption templates, background music, gameplay overlays, meme hooks
- Track processing — check progress and retrieve completed clips
- Manage requests — list history, get results, delete old requests
Prerequisites
- Ssemble account with an active subscription
- API key (get it from Settings → API Keys in the Ssemble dashboard)
- Node.js >= 18
Quick Start
Claude Desktop
Edit your config file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json - Linux:
~/.config/Claude/claude_desktop_config.json
{
"mcpServers": {
"ssemble": {
"command": "npx",
"args": ["@ssemble/mcp-server"],
"env": {
"SSEMBLE_API_KEY": "sk_ssemble_your_key_here"
}
}
}
}
Restart Claude Desktop after saving.
Claude Code
claude mcp add ssemble -- npx @ssemble/mcp-server
Then set the environment variable:
export SSEMBLE_API_KEY="sk_ssemble_your_key_here"
Cursor / VS Code / Windsurf
Add to your MCP settings:
{
"mcpServers": {
"ssemble": {
"command": "npx",
"args": ["@ssemble/mcp-server"],
"env": {
"SSEMBLE_API_KEY": "sk_ssemble_your_key_here"
}
}
}
}
Available Tools
| Tool | Description |
|---|---|
create_short |
Create AI-generated short clips from a video. Returns request ID instantly. |
get_status |
Check processing progress (0-100%) and current step |
get_shorts |
Retrieve completed clips with video URLs, titles, viral scores |
list_requests |
List all your requests with pagination and status filtering |
delete_request |
Permanently delete a request and its videos |
list_templates |
Browse caption style templates |
list_music |
Browse background music tracks |
list_game_videos |
Browse gameplay overlay videos |
list_meme_hooks |
Browse meme hook attention-grabber clips |
How Processing Works
Video processing takes 5-30 minutes. The workflow is:
create_short— submits the job and returns instantly with a request IDget_status— check progress anytime (queued → processing → completed)get_shorts— retrieve the generated clips when done
Usage Examples
Create shorts from a YouTube video:
"Create shorts from https://youtube.com/watch?v=abc123, use the first 10 minutes with chill background music"
Browse available assets:
"Show me all caption templates" / "What background music is available?"
Check progress:
"What's the status of my video request?"
Get results:
"Show me the clips for request 507f1f77bcf86cd799439011, sorted by viral score"
Environment Variables
| Variable | Required | Description |
|---|---|---|
SSEMBLE_API_KEY |
Yes | Your Ssemble API key (starts with sk_ssemble_) |
SSEMBLE_API_BASE_URL |
No | Override API base URL (default: https://aiclipping.ssemble.com/api/v1) |
Development
git clone https://gitlab.com/vlogr/ssemble-mcp-server.git
cd ssemble-mcp-server
npm install
SSEMBLE_API_KEY=sk_ssemble_your_key npm start
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.