Global Azure Thailand 2025
@ninefyi
About Global Azure Thailand 2025
Introduction to the Azure 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"
]
}
}
}Tools
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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
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.
Frequently asked questions
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.
Basic information
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