Azure MCP Server
An MCP server based on FastAPI, deployed in Azure Container Apps, providing SSE interfaces for weather-related tools (such as alerts and forecasts) and authenticated via API keys.
rating : 2 points
downloads : 10
What is the Azure MCP Server?
This is a weather data service that provides real-time weather alerts and forecasts through a secure connection. It uses modern web technologies to stream data directly to your applications.How to use this service?
You can connect using compatible clients (like VS Code) or custom scripts. The service requires an API key for secure access and provides two main weather tools: alerts by state and forecasts by location.When to use this service?
Ideal for developers building weather-aware applications, researchers analyzing weather patterns, or anyone needing reliable weather data in their workflow.Key Features
Real-time Weather AlertsGet immediate notifications about severe weather conditions by US state
Precision ForecastsAccurate weather predictions for any location using latitude/longitude coordinates
Secure Data StreamingProtected Server-Sent Events (SSE) connection with API key authentication
Pros and Cons
Advantages
Simple integration with MCP-compatible clients
Real-time data streaming without polling
Secure API key authentication
Lightweight and efficient communication
Limitations
Currently only supports US weather data
Requires modern clients that support SSE
Basic API key security (no OAuth support)
Getting Started
Set up your environment
Install Python 3.11+ and uv package manager
Configure your API key
Set the authentication key for your server
Start the server
Launch the weather data service
Connect your client
Configure your MCP client with the server URL and API key
Usage Scenarios
Emergency Alert SystemMonitor severe weather alerts for disaster preparedness
Travel PlanningCheck weather forecasts for trip destinations
Frequently Asked Questions
Why is my client not receiving data?
Can I use this outside the US?
How do I deploy to production?
Additional Resources
GitHub Repository
Source code and issue tracker
Azure Container Apps Documentation
Official deployment guide
MCP Protocol Reference
Technical specification for MCP
Featured MCP Services

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
141
4.5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
86
4.3 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
567
5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
754
4.8 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
284
4.5 points