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MCP Weather Application (Client-Server)

@RoystonDAlmeida

Repository

Basic information

Category

Media & Design

Transports

stdio

Author

RoystonDAlmeida

About MCP Weather Application

This repository contains files for building an MCP server for weather tasks.

MCP Weather Application config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-weather-server-roystondalmeida": {
      "command": "uv",
      "args": [
        "run",
        "client.py",
        "../weather/weather.py"
      ]
    }
  }
}

MCP Weather Application tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Weather Application (Client-Server)?

The MCP Weather Application is a client-server system built with the MCP framework. The server fetches weather data from the National Weather Service (NWS) API via two tools (get_alerts, get_forecast), while the client uses LangChain with the Groq API (Llama 3 model) to process natural language queries and invoke those tools as needed.

How to use MCP Weather Application (Client-Server)?

Detailed setup instructions, including dependency installation and API key configuration, are in each component’s README (weather/README.md, mcp-client/README.md). To run the client and automatically start the server, execute uv run client.py ../weather/weather.py from the mcp-client/ directory. The client connects to the server via stdio.

Key features of MCP Weather Application (Client-Server)

  • Two MCP tools: get_alerts and get_forecast
  • Fetches live data from the National Weather Service API
  • Client uses LangChain and Groq for natural language understanding
  • Full client-server architecture with stdio MCP transport
  • Automatically selects and invokes the correct weather tool

Use cases of MCP Weather Application (Client-Server)

  • Ask for current weather alerts for a given US state
  • Request a detailed forecast for a specific latitude/longitude
  • Use natural language to get weather information without coding
  • Demonstrate MCP client-server interaction with an LLM orchestrator

Frequently asked questions

1

What tools does the server provide?

The server exposes two tools: `get_alerts` (for weather alerts by state) and `get_forecast` (for a forecast at given coordinates).

2

Which API does the server use?

It uses the National Weather Service (NWS) API to fetch weather alerts and forecasts.

3

What LLM powers the client’s natural language understanding?

The client uses Groq’s Llama 3 model via LangChain to interpret user queries and decide when to call a server tool.

Comments

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