Python MCP Weather Server with Azure Deployment

A Model Context Protocol (MCP) server built with FastAPI and Python that provides weather information using the National Weather Service API. Ready for deployment to Azure App Service with Azure Developer CLI (azd).

🌟 Features

• FastAPI Framework: Modern, fast web framework for building APIs

• MCP Protocol Compliance: Full support for JSON-RPC 2.0 MCP protocol

• HTTP Transport: HTTP-based communication for web connectivity

• Weather Tools:

  • get_alerts: Get weather alerts for any US state

  • get_forecast: Get detailed weather forecast for any location

• Azure Ready: Pre-configured for Azure App Service deployment

• Web Test Interface: Built-in HTML interface for testing

• National Weather Service API: Real-time weather data from official US government source

Related MCP server: Python MCP Weather Server with OAuth 2.1 Authentication

💻 Local Development

Prerequisites

• Python 3.8+

• pip (Python package installer)

Setup & Run

1. Clone and install dependencies:

   git clone <your-repo-url>
   cd remote-mcp-webapp-python
   python -m venv venv
   .\venv\Scripts\Activate.ps1  # Windows
   # source venv/bin/activate   # macOS/Linux
   pip install -r requirements.txt

2. Start the development server:

   .\start_server.ps1  # Windows
   # or manually:
   uvicorn main:app --host 0.0.0.0 --port 8000 --reload

3. Access the server:

   • Server: http://localhost:8000/

   • Health Check: http://localhost:8000/health

   • Test Interface: http://localhost:8000/test

🔌 Connect to the Local MCP Server

Using VS Code - Copilot Agent Mode

1. Add MCP Server from command palette and add the URL to your running server's HTTP endpoint:

   http://localhost:8000

2. List MCP Servers from command palette and start the server

3. In Copilot chat agent mode, enter a prompt to trigger the tool:

   What's the weather forecast for San Francisco?

4. When prompted to run the tool, consent by clicking Continue

Using MCP Inspector

1. In a new terminal window, install and run MCP Inspector:

   npx @modelcontextprotocol/inspector

2. CTRL+click the URL displayed by the app (e.g. http://localhost:5173/#resources)

3. Set the transport type to HTTP

4. Set the URL to your running server's HTTP endpoint and Connect:

   http://localhost:8000

5. List Tools, click on a tool, and Run Tool

🚀 Quick Deploy to Azure

Prerequisites

• Azure CLI

• Azure Developer CLI (azd)

• Active Azure subscription

Deploy with Azure Developer CLI

# 1. Login to Azure
azd auth login

# 2. Create an isolated environment in your subscription and region
azd env new weather-mcp-dev --subscription <subscription-id> --location eastus2

# 3. Deploy to Azure
azd up --no-prompt

The deployment uses the tenant and subscription selected by your azd login and environment. No tenant ID, subscription ID, resource group name, or Application Insights key is stored in the Bicep files.

Deploy the Infrastructure with Bicep

To provision only the Azure infrastructure using the currently selected Azure CLI subscription:

az login
az account set --subscription <subscription-id>

az deployment sub create \
   --name weather-mcp-infrastructure \
   --location eastus2 \
   --template-file infra/main.bicep \
   --parameters environmentName=weather-mcp-dev location=eastus2

This creates a new resource group, Linux B1 App Service plan, web app, Log Analytics workspace, and Application Insights instance. Use azd up when you also want to package and deploy the Python application.

After deployment, your MCP server will be available at:

• Health Check: https://<your-app>.azurewebsites.net/health

• MCP Capabilities: https://<your-app>.azurewebsites.net/mcp/capabilities

• MCP Streamable HTTP: https://<your-app>.azurewebsites.net/mcp/stream

• Test Interface: https://<your-app>.azurewebsites.net/test

🔌 Connect to the Remote MCP Server

In Copilot Studio, configure an MCP tool with Streamable HTTP transport, no authentication, and this URL:

https://<your-app>.azurewebsites.net/mcp/stream

🧪 Testing

Visit /test endpoint for an interactive testing interface.

🌦️ Data Source

This server uses the National Weather Service (NWS) API:

• Real-time weather alerts and warnings

• Detailed weather forecasts

• Official US government weather data

• No API key required

• High reliability and accuracy