Short Video Maker
Creates short videos for TikTok, Instagram Reels, and YouTube Shorts using the Model Context Protocol (MCP) and a REST API.
What is Short Video Maker?
Short Video Maker is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to creates short videos for tiktok, instagram reels, and youtube shorts using the model context protocol (mcp) and a rest api.
Creates short videos for TikTok, Instagram Reels, and YouTube Shorts using the Model Context Protocol (MCP) and a REST API.
This server falls under the Business Applications category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Creates short videos for TikTok, Instagram Reels, and YouTub
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx short-video-maker-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Short Video Maker
Short Video Maker MCP is a self-hosted server that generates faceless short-form videos for TikTok, Instagram Reels, and YouTube Shorts entirely from text scenes, with AI-generated voiceover (Kokoro TTS), background music, captions, and stock footage from Pexels — all orchestrated through an MCP interface or REST API. AI assistants connected via MCP can call the create-short-video tool with a script and receive a finished MP4 without any manual video editing. The server is built on Remotion for rendering and runs either as a lightweight Docker container or directly via npx on Ubuntu/macOS with ffmpeg installed.
Prerequisites
- Docker installed (recommended) or Ubuntu 22.04+/macOS with ffmpeg for the npx path
- A Pexels API key from pexels.com/api/ for background stock video footage
- An MCP-capable client such as Claude Desktop or any MCP-compatible AI assistant
- At least 2 GB of free disk space for model files and video cache
Obtain a Pexels API key
Sign up for a free account at pexels.com/api/ and generate an API key. This key is required to fetch background video clips for your generated videos.
Start the server with Docker (recommended)
Run the latest-tiny Docker image, which includes all dependencies pre-installed. The server binds to port 3123 and exposes both the MCP interface and a web UI.
docker run -it --rm --name short-video-maker \
-p 3123:3123 \
-e PEXELS_API_KEY=your_pexels_api_key_here \
-e LOG_LEVEL=info \
gyoridavid/short-video-maker:latest-tinyAdd the MCP server to your client config
Configure your MCP client to connect to the running Short Video Maker server. The MCP server is exposed at the same address as the REST API.
{
"mcpServers": {
"short-video-maker": {
"command": "npx",
"args": ["short-video-maker-mcp"],
"env": {
"PEXELS_API_KEY": "your_pexels_api_key_here",
"PORT": "3123"
}
}
}
}Verify the server and explore available voices
Open the web UI at http://localhost:3123 to confirm the server is running. Check available TTS voices and background music moods through the web UI or REST API before generating your first video.
# Check available voices
curl http://localhost:3123/api/voices
# Check available music moods
curl http://localhost:3123/api/music-tagsGenerate a short video via MCP
Ask your AI assistant to create a short video by providing a script with scenes. The create-short-video MCP tool accepts a list of scenes with text, selects matching stock footage, generates voiceover, and renders the final MP4.
Short Video Maker Examples
Client configuration
Claude Desktop config entry for the Short Video Maker MCP server with Pexels integration.
{
"mcpServers": {
"short-video-maker": {
"command": "npx",
"args": ["short-video-maker-mcp"],
"env": {
"PEXELS_API_KEY": "your_pexels_api_key_here",
"PORT": "3123",
"LOG_LEVEL": "info"
}
}
}
}Prompts to try
Example prompts for generating short videos using the MCP tools.
- "Create a 60-second TikTok video about the top 5 productivity tips for developers, portrait orientation"
- "Make a short Instagram Reel explaining what Model Context Protocol is in simple terms, with upbeat background music"
- "Generate a YouTube Short about how to make perfect French press coffee, with captions at the bottom"
- "Check the status of my video generation job with ID abc123"
- "List all available TTS voices for the video maker"Troubleshooting Short Video Maker
Video generation fails with 'Pexels API error' or returns no footage
Verify that PEXELS_API_KEY is correctly set and that the key is active at pexels.com/api/. Pexels free tier has rate limits; if exceeded, wait a few minutes or upgrade your plan.
Docker container starts but video rendering is very slow
The tiny image uses smaller Kokoro model variants by default. Set KOKORO_MODEL_PRECISION to 'q4' or 'q4f16' for faster inference at the cost of slight quality reduction. Increase CONCURRENCY to use more parallel browser tabs for Remotion rendering.
npx short-video-maker-mcp fails on macOS with missing ffmpeg
Install ffmpeg via Homebrew: 'brew install ffmpeg'. The Docker image includes ffmpeg pre-installed, so switching to the Docker method avoids this dependency entirely.
Frequently Asked Questions about Short Video Maker
What is Short Video Maker?
Short Video Maker is a Model Context Protocol (MCP) server that creates short videos for tiktok, instagram reels, and youtube shorts using the model context protocol (mcp) and a rest api. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Short Video Maker?
Follow the installation instructions on the Short Video Maker GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Short Video Maker?
Short Video Maker works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Short Video Maker free to use?
Yes, Short Video Maker is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Set Up Short Video Maker in Your Editor
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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