Global Azure Thailand 2025 MCP Server

@ninefyi

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云与基础设施

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ninefyi

关于 Global Azure Thailand 2025 MCP Server

Introduction to the Azure MCP Server

Global Azure Thailand 2025 MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "global-az-thailand-25": {
      "command": "npx",
      "args": [
        "-y",
        "@azure/mcp@latest",
        "server",
        "start",
        "--transport",
        "sse"
      ]
    }
  }
}

Global Azure Thailand 2025 MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Global Azure Thailand 2025?

Global Azure Thailand 2025 is an online event held on 10 May 2025 that introduces the Azure MCP Server. It explains how to set up and run the Azure MCP Server with Azure OpenAI, using SSE transport and Python examples.

How to use Global Azure Thailand 2025?

Install Azure CLI, log in with az login, create a .env file with Azure OpenAI credentials, install Python dependencies from requirements.txt, start the Azure MCP Server via npx -y @azure/mcp@latest server start --transport sse, then run python mcp_sse_simple.py or python mcp_sse_gradio.py.

Key features of Global Azure Thailand 2025

Online event about the Azure MCP Server
Uses SSE transport for server communication
Includes two Python example scripts (simple and Gradio)
Requires Azure CLI for authentication
Integrates with Azure OpenAI API

Use cases of Global Azure Thailand 2025

Learning to set up and run the Azure MCP Server
Building sample AI applications with Azure OpenAI
Experimenting with MCP over SSE transport

常见问题

What dependencies are required?

Azure CLI, Node.js (for npx), and Python with packages from `requirements.txt` are needed.

How is authentication handled?

First log in with `az login`, then provide Azure OpenAI API key, endpoint, deployment, and API version in the `.env` file.

Which transport does the server use?

The server is started with `--transport sse`.

Where do credentials and model configuration live?

In a `.env` file containing `AZURE_OPENAI_API_KEY`, `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_DEPLOYMENT`, and API version variables.

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