お問い合わせ こんにちは!

このノートブックは、独自のモデルコンテキストプロトコル(MCP)サーバ(Remotely**)をデプロイするための実用的なガイドです。

ほとんどのMCP例とは異なり、Claude Desktopのようなツールを使用して、自分のコンピュータ上でサーバーを実行することに重点を置いています。このガイドでは、MCPサーバーをクラウドでホストする方法を説明します。これにより、どこからでもアクセスでき、Webエージェント、チャットボット、または他の人と共有することができます。

最後に、Claude Web UI とOpenAI プレイグラウンド まで接続する方法も紹介します。

工房へのリンク:

[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 Web UIに接続されたサーバーのビデオを見る: [https://www.youtube.com/watch?v=NexhEJ0OcfA]

OpenAI Playgroundに接続されたサーバーのビデオを見る: [https://www.youtube.com/watch?v=NexhEJ0OcfA]

お問い合わせ

※ご参考になられた場合は、是非このリポジトリをお試しください。

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

お問い合わせ

Me と接続する

🚀 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.