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안녕하세요!

이 노트북은 자신의 모델 Context Protocol (MCP) 서버 ** Render에서 무료 클라우드 호스팅을 사용하여 실제 가이드입니다.

대부분의 MCP 예제와는 달리, Claude Desktop과 같은 도구를 사용하여 자신의 컴퓨터에서 서버를 실행하는 데 중점을 둡니다. 이 가이드는 클라우드에서 MCP 서버를 호스팅하는 방법을 보여줍니다. 어디에서나 액세스 할 수 있으며 웹 에이전트, chatbot 또는 다른 사람들과 공유 할 수 있습니다.

결국에는 Claude 웹 UI 및 OpenAI 놀이터까지 연결하는 방법을 보여 드리겠습니다.

COLAB에 연결하기:

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] [T0]] [T0]] [T0]] [T0]] [T0]] [T0]] [T0]] [T0] [T0] [T0]] [T0] [T0] [T0]] [T0]] [T0] [T0] [T0] [T0] [T0]] [T0] [T0]] [T0] [T0] [T0]] [T0]] [T0] [T0] [T0]] 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] 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]]] 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]]]]]] [[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]]]]]]] [[[[[[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]]]]]]]]]]]]]] [[[[[[[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]]]]]]]]]]]]]]]]]] [[[[[[[[[[[[[[[[[[[[[[

** Claude 웹 UI에 연결된 서버의 비디오:** https://www.youtube.com/watch?v=NexhEJ0OcfA

**OpenAI 놀이터에 연결된 서버의 비디오를 시청하십시오. ** https://www.youtube.com/watch?v=NexhEJ0OcfA https://www.youtube.com/watch?v=NexhEJ0OcfA]] [T2]] [T2]] [T2]] [T2]] [T2]] [T2]] [T2] [T2]] [T2] [T2]] [T2]] [T2]] [T2] [T2]] [T2]] [T2] [T2]] [T2]] [T2] [T2]] [T2]] [T2]] [T2] [T2]] [T2] https://www.youtube.com/watch?v=NexhEJ0OcfA]] https://www.youtube.com/watch?v=NexhEJ0OcfA]]] [[https://www.youtube.com/watch?v=NexhEJ0OcfA]]]]]]]]]]]] [[[[[[[[[https://www.youtube.com/watch?v=NexhEJ0OcfA]]]]]]]]]]]]]]]] [[[[[[[[[[[[[https://www.youtube.com/watch?v=NexhEJ0OcfA]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]

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⭐ 이 repo를 찾지 못했습니다:⭐

https://github.com/smartaces/render_mcp https://github.com/smartaces/render_mcp] [T3]] [T3]] [T3]] [T3]] [T3]] [T3]] [T3] [T3]] [T3] [T3] [T3]] [T3]] [T3] [T3]] [T3] [T3]] [T3]] [T3] [T3] [T3]] [T3] [T3]] [T3]] [T3] [T3]] [T3] [T3]] [T3] [T3] [T3]] [T3] [T3]] [T3] [T3]] [T3] [T3] [T3]]] [T3] [T3] [T3] [T3] [T3] https://github.com/smartaces/render_mcp https://github.com/smartaces/render_mcp [[T3] https://github.com/smartaces/render_mcp]]]]] https://github.com/smartaces/render_mcp]]]]] https://github.com/smartaces/render_mcp]]]]]]]]

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** 연결하기

🚀 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.