Scenext MCP
S

Scenext MCP

An MCP server integrated with the Scenext AI video generation platform, used to generate teaching explanation videos based on topics.
2 points
7.6K

What is the Scenext MCP Server?

The Scenext MCP server is an MCP server integrated with the Scenext AI video generation platform, which can generate teaching explanation videos based on topics. It allows users to access the AI video generation service through simple configuration and quickly create high - quality teaching videos.

How to use the Scenext MCP Server?

The Scenext MCP server can be accessed through the local uvx mode or the remote streamable - http mode. Users only need to specify the correct commands, parameters, and API keys in the configuration file to start using it.

Applicable Scenarios

The Scenext MCP server is suitable for educational institutions, online learning platforms, and content creators, helping them quickly generate teaching explanation videos and improve teaching efficiency and content quality.

Main Features

AI Video Generation
Automatically generate high - quality teaching explanation videos using Scenext AI technology, supporting multiple themes and content types.
Flexible Access Modes
Supports two access modes: local uvx mode and remote streamable - http mode, meeting different usage needs.
Simple Configuration
The server access can be completed through a simple JSON configuration file without complex settings.
Advantages
Efficiently generate teaching videos, saving production time
Support multiple themes and content types, with strong flexibility
Limitations
An effective Scenext API key is required for use
It depends on the network connection and cannot be used offline

How to Use

Select the Access Mode
Select the local uvx mode or the remote streamable - http mode for access according to your needs.
Configure the Server
Specify the correct commands, parameters, and API keys in the configuration file.
Start the Server
Start the MCP server according to the configuration to ensure the normal operation of the service.

Usage Examples

Generate a Math Explanation Video
Input a math problem, such as 'How to solve quadratic equations', and generate the corresponding explanation video.
Create Physics Course Content
Generate a series of explanation videos based on the physics course outline, covering all knowledge points.

Frequently Asked Questions

What configuration does the Scenext MCP server require?
How to obtain a Scenext API key?
Does the Scenext MCP server support offline use?

Related Resources

Scenext Official Website
The official website of the Scenext AI video generation platform
Scenext MCP Server Documentation
The official documentation of the Scenext MCP server
Scenext API Documentation
The API documentation of the Scenext AI video generation platform

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "scenext": {
      "command": "uvx", 
      "args": ["scenext-mcp"],
      "env": {
        "SCENEXT_API_KEY": "your_actual_api_key_here"
      }
    }
  }
}

{
  "mcpServers": {
    "scenext": {
      "type": "streamable-http",
      "url": "https://mcp.scenext.cn/mcp/",
      "headers": {
        "Authorization": "Bearer your_actual_api_key_here"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

B
Blueprint MCP
Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.
Python
8.3K
4 points
K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
14.2K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
10.0K
4 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
N
Nexus
Nexus is an AI tool aggregation gateway that supports connecting multiple MCP servers and LLM providers, providing tool search, execution, and model routing functions through a unified endpoint, and supporting security authentication and rate limiting.
Rust
0
4 points
S
Shadcn Ui MCP Server
An MCP server that provides shadcn/ui component integration for AI workflows, supporting React, Svelte, and Vue frameworks. It includes functions for accessing component source code, examples, and metadata.
TypeScript
12.9K
5 points
Z
Zen MCP Server
Zen MCP is a multi-model AI collaborative development server that provides enhanced workflow tools and cross-model context management for AI coding assistants such as Claude and Gemini CLI. It supports seamless collaboration of multiple AI models to complete development tasks such as code review, debugging, and refactoring, and can maintain the continuation of conversation context between different workflows.
Python
17.1K
5 points
O
Opendia
OpenDia is an open - source browser extension tool that allows AI models to directly control the user's browser, perform automated operations using existing login status, bookmarks and other data, support multiple browsers and AI models, and focus on privacy protection.
JavaScript
14.4K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
16.6K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
27.7K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
54.7K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
18.7K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
24.6K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
51.6K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
18.4K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
77.0K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase