Which integrations are available for this server?

Enables environment variable management for storing and accessing API keys securely Used for MCP Protocol specification and repository hosting, allowing users to contribute to the project through pull requests Provides the agent framework for the weather alert system, enabling interactive conversation with memory and structured function calling

How do I use MCP Weather Alert Agent?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP Weather Alert Agent show me current weather alerts for Florida" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

🌦️ MCP Weather Alert Agent

A lightweight AI agent powered by MCP (Modular Connector Protocol) that fetches real-time weather alerts for any U.S. state using the National Weather Service API.

✨ Features

🤖 AI Chat Interface - Interactive conversation with memory
🌪️ Real-time Weather Alerts - Live data from National Weather Service
⚡ Fast Inference - Powered by Groq LLM via LangChain
🔧 MCP Integration - Built with mcp, mcp-use, and FastMCP
🛠️ Tool-based Architecture - Structured function calling

Related MCP server: MCP Weather Server

🎯 Quick Example

💬 User: "Provide me weather alerts for California" 🤖 Agent: Calling get_alerts("CA")... 🌦️ Result: "FLOOD WARNING for Central Valley until 6 PM PST..."

🚀 Getting Started

Prerequisites

Python 3.8+
Groq API key (Get one here)

Installation

Clone the repository
git clone https://github.com/MokshadaRaibagkar/mcp-weather-alert-agent.git cd mcp-weather-alert-agent
Create virtual environment
python -m venv .venv source .venv/bin/activate # Windows: .venv\Scripts\activate
Install dependencies
pip install -r requirements.txt
Set up environment variables
cp .env # Edit .env and add your GROQ_API_KEY

🛠️ Usage

Option 1: Interactive Chat Agent

uv run server/client.py

Option 2: MCP Dev Server (for testing)

uv run mcp dev server/weather.py

Opens MCP Inspector for tool testing and debugging.

Option 3: MCP Inspector (Visual Interface)

uv run mcp dev server/weather.py

🔧 API Reference

`get_alerts(state: str) -> str`

Fetches active weather alerts for a U.S. state.

Parameters:

state (str): Two-letter state code (e.g., "CA", "TX", "NY")

Returns:

Formatted string with current weather alerts or "No active alerts"

Example:

result = get_alerts("FL") # Returns: "HURRICANE WARNING for Miami-Dade County..."

🧪 Example Interactions

Weather Alert Agent initialized! Ask me about weather alerts. 💬 You: What are the current weather alerts for Texas? 🛠️ Calling get_alerts with state: TX 🌦️ Current alerts for Texas: - TORNADO WATCH for East Texas until 10 PM CDT - FLASH FLOOD WARNING for Austin area until midnight 💬 You: Any alerts in California? 🛠️ Calling get_alerts with state: CA ✅ No active weather alerts for California at this time.

🌐 Tech Stack

Component	Technology
MCP Framework	MCP Protocol
LLM	Groq
Agent Framework	LangChain
Weather API	National Weather Service
Development	FastMCP

🤝 Contributing

Fork the repository
Create your feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add some amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

👩‍💻 Author

Mokshada Raibagkar

⭐ Star this repo if it helped you!

Made with ❤️ and ☕

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