Minimax MCP

🚀 MiniMax Model Context Protocol (MCP) Server

Welcome to the MiniMax-MCP repository! As the official MCP server, this project is dedicated to providing robust interactive support for text-to-speech and video generation APIs. It offers a solid foundation for developers and creators.


🚀 Quick Start

📜 Introduction

The MiniMax Model Context Protocol (MCP) Server aims to help applications seamlessly integrate advanced multimedia features. By supporting image generation, text-to-speech, and video generation, the server provides developers with tools to create rich and interactive experiences.

✨ Features

• Text-to-Speech: Convert text into natural and fluent speech with multiple voice options.
• Video Generation: Create videos based on text and images to achieve rich multimedia content.
• Image Generation: Generate images based on text descriptions or existing templates.
• MCP Tools: Efficiently interact with the server using built-in tools.
• Scalability: Designed to handle multiple requests simultaneously, ensuring smooth performance.

📦 Installation

To start using MiniMax-MCP, follow these steps:

1. Clone the repository:

   git clone https://github.com/mattheussnf/MiniMax-MCP.git
   cd MiniMax-MCP
   

2. Install dependencies: Make sure you have Python 3.x installed. Then run:

   pip install -r requirements.txt
   

3. Start the server: Execute the following command to start the server:

   python app.py
   

You can download the latest version from our Release Version section.

💻 Usage Examples

Basic Usage

• Clone the repository and enter the directory: Enter the above commands in the terminal.
• Install dependencies: Run pip install -r requirements.txt to install the required libraries.
• Start the server: Start the MCP server by running python app.py.

Advanced Usage

Adjust the configuration file config.json according to your needs, such as setting API keys and other parameters.

🛠️ Tools

A command-line tool mcp-cli is provided for quick function testing:

# Install the tool
pip install mcpython

# Usage example
mcp-cli --help

🚀 Function Demonstration

• Text-to-Speech: Convert Chinese text into a voice file.
• Video Generation: Create personalized videos based on templates and data.
• Image Generation: Generate high-quality images based on descriptions.

💻 Usage Examples

Basic Usage

from mcpclient import MCPClient

client = MCPClient()
text = "你好，这是一个测试。"
audio_path = client.text_to_speech(text)
print(f"Audio file saved as {audio_path}")

📚 Documentation

📄 License

The project follows the MIT License. Please refer to the LICENSE file for details.

🤝 Contribution

Contributions are welcome! Fork the repository on GitHub, create a feature branch, and submit a pull request.

🔗 Links

• Repository: MiniMax-MCP
• Documentation Site: To be added
• Discussion Area: To be added

🤝 Contact Us

Have questions or suggestions? Contact us via:

• Email: contact@example.com
• GitHub: mattheussnf

Appendix

A. Frequently Asked Questions (FAQ)

1. How to install dependencies?
   • Use pip install -r requirements.txt.
2. Which operating systems are supported?
   • Linux and Windows are supported.
3. Is there a Docker image?
   • It's in the plan, stay tuned.

B. Change Log

• v1.0.0: Initial release.
• v1.1.0: Added text-to-speech function.
• v1.2.0: Optimized video generation performance.

Thank you for using MiniMax-MCP! We look forward to seeing the wonderful creations you make with it.