MCP cover image
See in Github
2025-04-14

Offizieller Minimax -Modellkontext -Protokoll -Server (MCP), der die Interaktion mit leistungsstarker Text zu Sprach- und Videogenerierungs -APIs ermöglicht.

1

Github Watches

0

Github Forks

1

Github Stars

🌟 MiniMax Model Context Protocol (MCP) Server

Welcome to the MiniMax-MCP repository! This project serves as the official server for the MiniMax Model Context Protocol (MCP). It enables seamless interaction with powerful Text to Speech and video generation APIs, providing a robust foundation for developers and creators.

Releases

🚀 Table of Contents

  1. Introduction
  2. Features
  3. Installation
  4. Usage
  5. API Endpoints
  6. Contributing
  7. License
  8. Contact

📜 Introduction

The MiniMax Model Context Protocol (MCP) server is designed to facilitate the integration of advanced multimedia capabilities into your applications. With support for image generation, text-to-speech, and video generation, it provides developers with the tools they need to create engaging and interactive experiences.

🌟 Features

  • Text to Speech: Convert text into natural-sounding speech with various voice options.
  • Video Generation: Create videos from text and images, enabling rich multimedia content.
  • Image Generation: Generate images based on textual descriptions or existing templates.
  • MCP Tools: Utilize built-in tools for efficient interaction with the server.
  • Scalability: Designed to handle multiple requests simultaneously, ensuring smooth performance.

📦 Installation

To get started with 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. Run the Server: Execute the following command to start the server:

    python app.py
    

You can download the latest release from our Releases section. Be sure to follow the instructions provided there for execution.

🛠️ Usage

Once the server is running, you can interact with it using various API endpoints. Here’s a quick overview of how to use the features:

Text to Speech

To convert text to speech, send a POST request to the /text-to-speech endpoint with the following JSON body:

{
  "text": "Hello, world!",
  "voice": "en-US-Wavenet-D"
}

Video Generation

To create a video, send a POST request to the /generate-video endpoint:

{
  "text": "This is a sample video.",
  "image": "url_to_image"
}

Image Generation

To generate an image, use the /generate-image endpoint:

{
  "description": "A beautiful sunset over the mountains."
}

📊 API Endpoints

Text to Speech

  • Endpoint: /text-to-speech
  • Method: POST
  • Parameters:
    • text: The text you want to convert.
    • voice: The voice model to use.

Video Generation

  • Endpoint: /generate-video
  • Method: POST
  • Parameters:
    • text: The text content for the video.
    • image: The URL of the image to include.

Image Generation

  • Endpoint: /generate-image
  • Method: POST
  • Parameters:
    • description: A description of the image to generate.

🤝 Contributing

We welcome contributions from the community! If you want to help improve MiniMax-MCP, follow these steps:

  1. Fork the Repository: Click the "Fork" button at the top right of the page.
  2. Create a Branch: Use a descriptive name for your branch.
    git checkout -b feature/YourFeatureName
    
  3. Make Your Changes: Implement your feature or fix a bug.
  4. Commit Your Changes:
    git commit -m "Add your message here"
    
  5. Push to Your Branch:
    git push origin feature/YourFeatureName
    
  6. Open a Pull Request: Go to the original repository and click "New Pull Request."

📄 License

This project is licensed under the MIT License. See the LICENSE file for details.

📬 Contact

For any inquiries or support, please reach out to the project maintainer:

Feel free to check the Releases section for updates and new features.

Thank you for your interest in MiniMax-MCP! We look forward to seeing what you create with it.

相关推荐

  • Aurity Ltd
  • Create and Publish Business Websites in seconds. AI will gather all the details about your website and generate link to your website.

  • Convincible Ltd
  • You're in a stone cell – can you get out? A classic choose-your-adventure interactive fiction game, based on a meticulously-crafted playbook. With a medieval fantasy setting, infinite choices and outcomes, and dice!

  • John Rafferty
  • Text your favorite pet, after answering 10 questions about their everyday lives!

  • Ian O'Connell
  • Provide players' names or enter Quickstart to start the game!

  • analogchat.com
  • Efficient Spotify assistant for personalized music data.

  • seabiscuit.ai
  • Discover A More Robust Business: Craft tailored value proposition statements, develop a comprehensive business model canvas, conduct detailed PESTLE analysis, and gain strategic insights on enhancing business model elements like scalability, cost structure, and market competition strategies. (v1.18)

  • Matthieu Savioux
  • Evaluates language quality of texts, responds with a numerical score between 50-150.

  • n8n-io
  • Fair-Code-Workflow-Automatisierungsplattform mit nativen KI-Funktionen. Kombinieren Sie visuelles Gebäude mit benutzerdefiniertem Code, SelbstHost oder Cloud, 400+ Integrationen.

  • WangRongsheng
  • 🧑‍🚀 全世界最好的 llm 资料总结(数据处理、模型训练、模型部署、 O1 模型、 MCP 、小语言模型、视觉语言模型) | Zusammenfassung der weltbesten LLM -Ressourcen.

  • metorial
  • Containerisierte Versionen von Hunderten von MCP -Servern 📡 🧠

  • av
  • Führen Sie mühelos LLM -Backends, APIs, Frontends und Dienste mit einem Befehl aus.

  • langgenius
  • Azure
  • Dieses Repository dient zur Entwicklung des Azure MCP -Servers, wodurch Ihre Agenten die Leistung von Azure verleiht.

  • alibaba
  • 1Panel-dev
  • 🔥 1Panel bietet eine intuitive Weboberfläche und einen MCP -Server, um Websites, Dateien, Container, Datenbanken und LLMs auf einem Linux -Server zu verwalten.

  • caio-moliveira
  • Dieses Projekt wurde erstellt, um zu demonstrieren, wie wir uns mit verschiedenen Modellkontextprotokollen (MCPs) verbinden können.

  • superiorlu
  • 🤖 Sammeln Sie praktische KI -Repos, Tools, Websites, Papiere und Tutorials auf KI. 实用的 ai 百宝箱 💎

  • Byaidu
  • PDF wissenschaftliche Papierübersetzung mit erhaltenen Formaten - 基于 ai 完整保留排版的 pdf 文档全文双语翻译 , 支持 支持 支持 支持 google/deeptl/ollama/openai 等服务 提供 cli/gui/mcp/docker/zotero

  • Onelevenvy
  • Flock ist eine Workflow-basierte Low-Code-Plattform, um schnell Chatbots, Lappen und Koordinierung von Multi-Agent-Teams zu erstellen, die von Langgraph, Langchain, Fastapi und NextJs angetrieben werden.

    Reviews

    3 (3)
    Avatar
    user_IgYUg94L
    2025-04-26

    The MiniMax-MCP by mattheussnf is an impressive tool that has greatly enhanced my productivity. Its user-friendly interface and seamless integration into my workflow have been game-changers. I highly recommend it to anyone looking to optimize their performance with minimal effort. This is a must-have for any serious user!

    Avatar
    user_swMnkm5M
    2025-04-26

    As a dedicated user of MiniMax-MCP by mattheussnf, I am thoroughly impressed with its capabilities. The user interface is intuitive, and the tool seamlessly integrates with my projects. The support resources and welcoming information provided make the experience even better. Highly recommended for anyone looking to enhance their workflow!

    Avatar
    user_LTWfkQ2m
    2025-04-26

    I recently started using MiniMax-MCP by mattheussnf, and I am thoroughly impressed! This application is incredibly user-friendly and provides exactly the tools I needed. Its intuitive interface and robust features streamline my workflow effortlessly. I highly recommend MiniMax-MCP to anyone looking to enhance their productivity.