Здравствуйте!

Этот ноутбук является практическим руководством по развертыванию собственного сервера Model Context Protocol (MCP) ** удаленно**, с использованием бесплатного облачного хостинга на Render.

В отличие от большинства примеров MCP, которые сосредоточены на запуске сервера на вашем собственном компьютере для использования с такими инструментами, как Claude Desktop, это руководство показывает вам, как разместить ваш MCP-сервер в облаке, делая его доступным из любого места и легко интегрировать в веб-агентов, чат-ботов или даже делиться с другими.

В конце я также покажу вам, как подключить это к Claude web UI и OpenAI playground.

*Скажи Колабу: **

[[Т0]]

Посмотрите видео сервера, подключенного к веб-интерфейсу Claude: [[Т1]]

** Смотреть видео сервера, подключенного к OpenAI Playground: ** [[Т2]]

*****Пожалуйста, снимите это репо, если оно вам помогло: **

[[Т3]]

Свяжитесь со мной

🚀 How To Set Up A Remote MCP Client Server on Render.com For Anthropic and OpenAI Agents🚀

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Hello!

This notebook is a practical guide for deploying your own Model Context Protocol (MCP) server remotely, using free cloud hosting on Render.

Unlike most MCP examples - which focus on running a server on your own computer to use with tools like Claude Desktop — this guide shows you how to host your MCP server in the cloud, making it accessible from anywhere and easy to integrate into web agents, chatbots, or even share with others.

At the end I’ll also show you how to connect this up to the Claude web UI and OpenAI playground.

LINK TO THE COLAB:

https://colab.research.google.com/github/smartaces/render_mcp/blob/main/How_To_Set_Up_A_Remote_MCP_Client_Server_on_Render_For_Anthropic_and_OpenAI_Agents.ipynb

Watch a video of the server connected to the Claude web UI: https://www.youtube.com/watch?v=NexhEJ0OcfA

Watch a video of the server connected to the OpenAI Playground: https://www.youtube.com/watch?v=NexhEJ0OcfA

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⭐ Please star this repo if it has been helpful to you:⭐

https://github.com/smartaces/render_mcp

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Connect with Me 👋

If you like this notebook or in any way found it helpful, feel free to connect with me on LinkedIn here:

https://www.linkedin.com/in/jamesbentleyai/

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What is MCP?

MCP (Model Context Protocol) is an open standard developed by Anthropic to connect AI models to external tools, data sources, and workflows.

Some people describe MCP as a “USB-C” port for AI—providing a common protocol so applications can plug into tools, access data from sources like GitHub or Google Docs, and extend their abilities without custom, one-off integrations.

MCP uses a simple client-server architecture:

• Client: Runs inside your AI app (like Claude, an IDE, or a chatbot).
• Server: Exposes tools, resources, and prompt templates to the client.
• This server can be local or, as you’ll learn here, remote and cloud-hosted!

You can find more about MCP here:

🔗 MCP Introduction
🔗 Official MCP Servers on GitHub

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How is this notebook different?

• Remote-first: Instead of local desktop hosting, you’ll deploy your server to Render’s free cloud platform.

• Reusable: The steps you’ll follow can be applied to deploy any kind of server remotely, not just MCP.