An MCP server that integrates with [Scenext](https://scenext.cn) AI video generation platform to create educational explanation videos based on
An MCP server that integrates with Scenext AI video generation platform to create educational explanation videos based on topics.
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
{
"mcpServers": {
"scenext": {
"command": "uvx",
"args": [
"scenext-mcp"
],
"env": {
"SCENEXT_API_KEY": "YOUR_SCENEXT_API_KEY"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| SCENEXT_API_KEY | Declared in the maintainer’s client configuration. | Check documentation |
The original Chromium automation reference server — simple, screenshot-driven browser control.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
A Python-based server that provides access to Whissle API endpoints for speech-to-text, diarization, translation, and text summarization.
This project demonstrates an MCP server implemented in JavaScript using Node.js. It defines two tools: add, which takes two numeric inputs and returns their sum, and getApiKey, which retrieves the…
The [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) is an open standard developed by Anthropic to enable seamless
TypeScript SDK for Mintlify Search