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MCP 服务

一个用于运行深度学习模型的服务器工具,提供Shell执行、Ngrok连接和Docker容器托管,并支持包括Anthropic、Gemini和OpenAI在内的多个AI框架。

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README

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, Do not 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! 💻🤖

help

运行方式说明

cloud

托管运行

托管运行通常表示这个 MCP Server 由服务方环境承载,用户一般按页面提供的连接方式或授权流程接入,不需要在本地长期启动一个 MCP 进程

  1. 打开服务方连接页
  2. 完成授权或复制端点
  3. 在 MCP 客户端中连接
terminal

本地运行 / 其它方式

本地运行通常需要用户在自己的电脑或服务器上安装依赖,把 server_config 复制到 MCP 客户端,并按 env_schema 补齐环境变量、密钥或其它配置

  1. 复制 server_config
  2. 安装所需依赖
  3. 补齐环境变量后重启客户端