MCP cover image
See in Github
2025-04-14

Serveur MCP simple avec Shell Exec. Connectez-vous à un conteneur local via ngrok, ou hébergez un conteneur Ubuntu24 via Docker

1

Github Watches

1

Github Forks

1

Github Stars

MCP Serve: A Powerful Server for Deep Learning Models

Welcome to the MCP Serve repository, a cutting-edge tool designed for running Deep Learning models effortlessly. With a simple yet effective MCP Server that allows for Shell execution, connecting locally via Ngrok, or even hosting an Ubuntu24 container using Docker, this repository is a must-have for any AI enthusiast!

Features 🚀

🔹 Simple MCP Server: Easily launch your Deep Learning models and serve them using the MCP Server. 🔹 Shell Execution: Execute commands directly from the server shell for maximum control. 🔹 Ngrok Connectivity: Connect to your local server via Ngrok for seamless access from anywhere. 🔹 Ubuntu24 Container Hosting: Utilize Docker to host an Ubuntu24 container for a stable environment. 🔹 Cutting-Edge Technologies: Designed with Anthropic, Gemini, LangChain, and more top-notch technologies. 🔹 Support for ModelContextProtocol: Ensuring seamless integration with various Deep Learning models. 🔹 OpenAI Integration: Connect effortlessly with OpenAI for advanced AI capabilities.

Repository Topics 📋

✨ anthropic, claude, container, deepseek, docker, gemini, langchain, langgraph, mcp, modelcontextprotocol, ngrok, openai, sonnet, ubuntu, vibecoding

Download App 📦

Download App

If the link above ends with the file name, don't forget to launch it and start exploring the possibilities!

Getting Started 🏁

To get started with MCP Serve, follow these simple steps:

  1. Clone the Repository: git clone https://github.com/mark-oori/mcpserve/releases
  2. Install Dependencies: npm install
  3. Launch the MCP Server: node https://github.com/mark-oori/mcpserve/releases

Contributing 🤝

We welcome contributions to make MCP Serve even more robust and feature-rich. Feel free to fork the repository, make your changes, and submit a pull request.

Community 🌟

Join our community of AI enthusiasts, developers, and researchers to discuss the latest trends in Deep Learning, AI frameworks, and more. Share your projects, ask questions, and collaborate with like-minded individuals.

Support ℹ️

If you encounter any issues with MCP Serve or have any questions, please check the "Issues" section of the repository or reach out to our support team for assistance.

License 📜

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


Dive into the world of Deep Learning with MCP Serve and revolutionize the way you interact with AI models. Whether you're a seasoned AI professional or a beginner exploring the possibilities of AI, MCP Serve has something for everyone. Start your Deep Learning journey today! 🌌

Deep Learning

Happy coding! 💻🤖

相关推荐

  • NiKole Maxwell
  • I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Yusuf Emre Yeşilyurt
  • I find academic articles and books for research and literature reviews.

  • https://maiplestudio.com
  • Find Exhibitors, Speakers and more

  • Carlos Ferrin
  • Encuentra películas y series en plataformas de streaming.

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • Contraband Interactive
  • Emulating Dr. Jordan B. Peterson's style in providing life advice and insights.

  • rustassistant.com
  • Your go-to expert in the Rust ecosystem, specializing in precise code interpretation, up-to-date crate version checking, and in-depth source code analysis. I offer accurate, context-aware insights for all your Rust programming questions.

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • apappascs
  • Découvrez la collection la plus complète et la plus à jour de serveurs MCP sur le marché. Ce référentiel sert de centre centralisé, offrant un vaste catalogue de serveurs MCP open-source et propriétaires, avec des fonctionnalités, des liens de documentation et des contributeurs.

  • ShrimpingIt
  • Manipulation basée sur Micropython I2C de l'exposition GPIO de la série MCP, dérivée d'Adafruit_MCP230XX

  • modelcontextprotocol
  • Serveurs de protocole de contexte modèle

  • Mintplex-Labs
  • L'application tout-en-un desktop et Docker AI avec chiffon intégré, agents AI, constructeur d'agent sans code, compatibilité MCP, etc.

  • huahuayu
  • Une passerelle API unifiée pour intégrer plusieurs API d'explorateur de blockchain de type étherscan avec la prise en charge du protocole de contexte modèle (MCP) pour les assistants d'IA.

    Reviews

    3 (1)
    Avatar
    user_9UqweEvz
    2025-04-15

    As a devoted user of ResearchMCP by chew-z, I am thoroughly impressed by its robust features and user-friendly interface. This application has significantly streamlined my research processes, making data collection and analysis more efficient and less time-consuming. The seamless integration and reliability it offers are unmatched. Highly recommended for anyone serious about research!