Weather MCP Server

@Jai-Keshav-Sharma

Repository

Basic information

About Weather MCP Server

No overview available yet

#weather #mcp-server #weather-alerts

Weather MCP Server config

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

{
  "mcpServers": {
    "Creating-Weather-MCP-Server": {
      "command": "docker",
      "args": [
        "pull",
        "ksharma9719/weather-mcp-server"
      ]
    }
  }
}

Weather MCP Server 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 Weather MCP Server?

Weather MCP Server is a Model Context Protocol (MCP) server implementation that provides weather alerts for US states using the National Weather Service API. It is built with the MCP Python SDK and is intended for developers integrating weather data into AI assistants, CLI tools, or custom applications.

How to use Weather MCP Server?

Install dependencies via pip install -r mcpserver/requirements.txt or pull the Docker image ksharma9719/weather-mcp-server. Run the server locally with python weather.py or in Docker with docker run -p 8000:8000 ksharma9719/weather-mcp-server. Invoke the included get_alerts tool by providing a two-letter US state code (e.g., CA). Connect using any of the provided client examples (stdio, SSE, or LLM‑powered CLI).

Key features of Weather MCP Server

Provides weather alerts for US states via the National Weather Service API
Supports stdio and SSE (Server-Sent Events) transport
Includes an LLM-powered CLI client using Groq
Offers Docker containerization for easy deployment
Integrates with Claude Desktop and Cursor IDE
Built-in conversation memory support

Use cases of Weather MCP Server

Fetching active weather alerts for a specific US state
Integrating real-time weather data into an LLM-based assistant
Automating weather notifications through an MCP-compatible client
Testing or demonstrating custom MCP server implementations
Building a containerized weather alert service for cloud deployment

Frequently asked questions

What are the runtime requirements?

Python 3.11 or higher and the uv package manager are required for local development. Docker is optional but recommended for containerized use.

How do I get weather alerts for a state?

Call the `get_alerts` tool with the `state` parameter set to a two-letter US state code (e.g., "CA" for California).

Does the server need an external API key?

The National Weather Service API used for alerts requires no key. An optional `GROQ_API_KEY` environment variable is needed only if you want to use the LLM‑powered CLI client.

Can I run Weather MCP Server in Docker?

Yes. Pull the pre-built image from Docker Hub (`ksharma9719/weather-mcp-server`) or build locally using the provided `Dockerfile` in the `mcpserver` directory.

What transport options are available?

The server supports both stdio and SSE (Server-Sent Events) transports. Example clients for both are included in the repository.

Comments

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