About MCP Weather Server
MCP Weather Server exposes National Weather Service data for applications and agents that need U.S. weather information. It covers forecasts, alerts, station observations, and fire weather without requiring an API key.
Key features
- 01State-level active weather alerts
- 02Daily and hourly forecasts
- 03Nearby station lookup and observations
- 04Location metadata and fire forecasts
Use cases
- 01Check active alerts for a U.S. state
- 02Retrieve daily or hourly forecasts
- 03Find stations and inspect current conditions
- 04Access specialized fire weather forecasts
MCP support
It provides weather tools to MCP clients, backed by the National Weather Service API.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP Weather Server
A weather information tool that provides weather forecasts, alerts, and observations using the National Weather Service (NWS) API. Built with FastMCP.
Installation
# Install dependencies
pip install httpx mcp-server
Features
This weather module provides the following tools:
- Get Weather Alerts: Fetch active weather alerts for any US state
- Get Forecast: Retrieve daily weather forecasts for any location
- Get Hourly Forecast: Get hour-by-hour forecast data
- Find Weather Stations: Locate observation stations near a specified location
- Get Observations: Fetch current weather conditions from specific stations
- Get Point Metadata: Retrieve detailed location information
- Get Fire Weather: Access specialized fire weather forecasts
API Reference
This module uses the National Weather Service (NWS) API. No API key is required, but proper request attribution via User-Agent is implemented.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.