Global Azure Thailand 2025

Name: Global Azure Thailand 2025
Author: ninefyi

@ninefyi

代码仓库

关于 Global Azure Thailand 2025

Introduction to the Azure MCP Server

基本信息

分类

云与基础设施

运行时

python

传输方式

stdio

发布者

ninefyi

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"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

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

FAQ from Global Azure Thailand 2025

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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