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Global Azure Thailand 2025 MCP Server

@ninefyi

Repository

Basic information

Category

Cloud & Infrastructure

Transports

stdio

Author

ninefyi

About Global Azure Thailand 2025 MCP Server

Introduction to the Azure MCP Server

Global Azure Thailand 2025 MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Global Azure Thailand 2025 MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

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

Frequently asked questions

1

What dependencies are required?

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

2

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.

3

Which transport does the server use?

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

4

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.

Comments

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