short-video-maker
Overview
A tool to create short videos for TikTok, Instagram Reels, and YouTube Shorts using the Model Context Protocol (MCP) and a REST API. Features include text prompt-based generation, text-to-speech, automatic captions, background video via Pexels, and music selection.
Capabilities
- • resource handlers
- • prompt templates
- • github integration
- • workflow automation support
Best For
Create short videos for TikTok, Instagram Reels, and YouTube Shorts with MCP and REST API, including text-to-speech, captions, and background media.
Decision Snapshot
Usage
available
Docs
5 links
Config
1 strong hints
Capabilities
4 key capabilities detected
- • GitHub stars: 1079
- • Forks: 359
- • Source provenance count: 1
- • Active signal: Updated this week from lifecycle signals.
- • Last seen: 4/15/2026
- • Published: 3/15/2026
Usage
fp32
Features
- • Environment variables
- • Configuration options
- • 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
Use Cases
- • Use in tools-oriented MCP workflows.
- • Capability coverage: resource handlers; prompt templates.
Supported Clients / Integrations
- • resource handlers
- • prompt templates
- • github integration
- • workflow automation support
Compatibility Signals
- • GitHub: supports (Detected in parser config/capability hints.)
Prompt Examples
example
• fp32
Notes / Requirements
- • Primary language: TypeScript
- • License: MIT
- • Documentation coverage: high
- • Parser coverage score: 1.00
- • Source provenance includes GitHub discovery
- • Source feeds: GitHub Search API
- • Topic cluster: general
Official Links
Source Information
You can verify all information on this page against the source repository above.
Related MCP Tools
mcp-for-beginners
An open-source curriculum introducing Model Context Protocol (MCP) fundamentals through cross-language examples, focusing on practical techniques for building modular, scalable, and secure AI workflows.
Unity-MCP
unity-mcp bridges AI assistants (e.g., Claude, Cursor) with Unity Editor via a local MCP Client, enabling LLMs to manage assets, control scenes, edit scripts, and automate tasks.
firecrawl-mcp-server
Firecrawl MCP Server is the official integration of Firecrawl's web scraping and search capabilities into the MCP ecosystem. It enables AI assistants to search the web, scrape individual pages (including JavaScript-rendered content), and extract structured data from websites. Editor's Review: This is one of the most capable MCP servers for web data retrieval. Firecrawl's strength is handling modern websites that rely on client-side JavaScript rendering—a common pain point with traditional HTTP-based scraping. The MCP integration makes these capabilities accessible to any MCP-compatible AI assistant. For AI research workflows that need to gather information from the live web, firecrawl-mcp-server is an essential tool. Configuration requires a Firecrawl API key, and rate limits depend on your subscription tier.
XcodeBuildMCP
XcodeBuildMCP is a Model Context Protocol (MCP) server and CLI tool for agent use in iOS and macOS project development.
What To Do Next
Continue from this tool into a workflow and a learn guide to shorten implementation time.