About free-video-maker
An open-source tool for creating short videos from text, combining narration, captions, Pexels background footage, and music. It offers MCP and REST services as well as a web UI; voiceover is currently limited to English.
Key features
- 01Creates short videos from text
- 02Adds speech and automatic captions
- 03Finds and selects Pexels footage
- 04Selects background music by genre or mood
- 05Offers MCP and REST services
Use cases
- 01Turn written narration into short videos
- 02Generate and style video captions
- 03Match Pexels footage to search terms
- 04Submit video generation requests through REST
MCP support
The project provides both an MCP service and a REST service. MCP clients can use its video-generation capability; the README does not specify individual MCP tools or parameters.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEDescription
An open source automated video creation tool for generating short-form video content. Short Video Maker combines text-to-speech, automatic captions, background videos, and music to create engaging short videos from simple text inputs.
This project is meant to provide a free alternative to heavy GPU-power hungry video generation (and a free alternative to expensive, third-party API calls). It doesn't generate a video from scratch based on an image or an image prompt.
Checkout more AI Related Videos in our Channel WebSensePro. We encourage you to check out the channel for more AI-related content and tutorials.
The server exposes an MCP and a REST server.
While the MCP server can be used with an AI Agent (like n8n) the REST endpoints provide more flexibility for video generation.
TOC
Getting started
Usage
Info
Examples
Features
- Generate complete short videos from text prompts
- Text-to-speech conversion
- Automatic caption generation and styling
- Background video search and selection via Pexels
- Background music with genre/mood selection
- Serve as both REST API and Model Context Protocol (MCP) server
How It Works
Shorts Creator takes simple text inputs and search terms, then:
- Converts text to speech using Kokoro TTS
- Generates accurate captions via Whisper
- Finds relevant background videos from Pexels
- Composes all elements with Remotion
- Renders a professional-looking short video with perfectly timed captions
Limitations
- The project only capable generating videos with English voiceover (kokoro-js doesn’t support other languages at the moment)
- The background videos are sourced from Pexels
General Requirements
- internet
- free pexels api key
- ≥ 3 gb free RAM, my recommendation is 4gb RAM
- ≥ 2 vCPU
- ≥ 5gb disc space
Scene
Each video is assembled from multiple scenes. These scenes consists of
- Text: Narration, the text the TTS will read and create captions from.
- Search terms: The keywords the server should use to find videos from Pexels API. If none can be found, joker terms are being used (
nature,globe,space,ocean)
Docker Command
docker run -it --rm --name short-video-maker -p 3123:3123 -e LOG_LEVEL=debug -e PEXELS_API_KEY= bilalnaseer/free-video-maker:latest
Web UI
Load web UI to generate videos here http://localhost:3123
Environment variables
🟢 Configuration
| key | description | default |
|---|---|---|
| PEXELS_API_KEY | your (free) Pexels API key | |
| LOG_LEVEL | pino log level | info |
| WHISPER_VERBOSE | whether the output of whisper.cpp should be forwarded to stdout | false |
| PORT | the port the server will listen on | 3123 |
Acknowledgments
- ❤️ [ai_agents_az]((https://github.com/gyoridavid/ai_agents_az) AI Agents AZ is the original creator of this repo, which I forked to make it easier for my youtube audience.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.