Azure Container Apps Mcp Sample
What is Azure Container Apps Mcp Sample
azure-container-apps-mcp-sample is a sample server for Azure Container Apps that demonstrates the use of Server-Sent Events (SSE) and API key authentication.
Use cases
Use cases include building a weather monitoring application that streams updates, integrating real-time data into dashboards, and developing applications that require live notifications.
How to use
To use azure-container-apps-mcp-sample, ensure you have Python 3.11 or later and the ‘uv’ package installed. Run the server locally by setting your API key and executing the provided commands. For deployment, use the Azure CLI to deploy the app to Azure Container Apps.
Key features
Key features include SSE transport for real-time data streaming and API key authentication for secure access.
Where to use
This MCP server can be used in applications requiring real-time data updates, such as weather applications, stock tickers, or any service that benefits from live data feeds.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Azure Container Apps Mcp Sample
azure-container-apps-mcp-sample is a sample server for Azure Container Apps that demonstrates the use of Server-Sent Events (SSE) and API key authentication.
Use cases
Use cases include building a weather monitoring application that streams updates, integrating real-time data into dashboards, and developing applications that require live notifications.
How to use
To use azure-container-apps-mcp-sample, ensure you have Python 3.11 or later and the ‘uv’ package installed. Run the server locally by setting your API key and executing the provided commands. For deployment, use the Azure CLI to deploy the app to Azure Container Apps.
Key features
Key features include SSE transport for real-time data streaming and API key authentication for secure access.
Where to use
This MCP server can be used in applications requiring real-time data updates, such as weather applications, stock tickers, or any service that benefits from live data feeds.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Azure Container Apps remote MCP server example
This MCP server uses SSE transport and is authenticated with an API key.
Running locally
Prerequisites:
- Python 3.11 or later
- uv
Run the server locally:
uv venv
uv sync
# linux/macOS
export API_KEYS=<AN_API_KEY>
# windows
set API_KEYS=<AN_API_KEY>
uv run fastapi dev main.py
VS Code MCP configuration (mcp.json):
{
"inputs": [
{
"type": "promptString",
"id": "weather-api-key",
"description": "Weather API Key",
"password": true
}
],
"servers": {
"weather-sse": {
"type": "sse",
"url": "http://localhost:8000/sse",
"headers": {
"x-api-key": "${input:weather-api-key}"
}
}
}
}Deploy to Azure Container Apps
az containerapp up -g <RESOURCE_GROUP_NAME> -n weather-mcp --environment mcp -l westus --env-vars API_KEYS=<AN_API_KEY> --source .
If the deployment is successful, the Azure CLI returns the URL of the app. You can use this URL to connect to the server from Visual Studio Code.
If the deployment fails, try again after updating the CLI and the Azure Container Apps extension:
az upgrade az extension add -n containerapp --upgrade
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
