Weather

Provides weather forecasts and city information queries for MCP clients, enabling 24-hour forecasts and city lookups.
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Language

4 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs
{
  "mcpServers": {
    "ropon-mcp_weather": {
      "command": "uvx",
      "args": [
        "mcp-server-weather"
      ],
      "env": {
        "YOUR_TOKEN": "<YOUR_TOKEN>"
      }
    }
  }
}

The Weather MCP Server provides a weather forecast service and city information lookup via a Model Context Protocol server. It lets language models obtain the next 24 hours of weather data and query city information by name or coordinates, enabling rich, real-time weather-aware interactions.

How to use

You connect to the Weather MCP Server through an MCP client and call the available tool to fetch the next 24 hours of weather for a given location. The primary tool is get_24h_weather, which accepts a location as input. Use it to answer user questions about upcoming conditions for specified cities or coordinates, and to retrieve city details when needed.

How to install

Prerequisites: Python (for running the server directly), or an MCP runner that supports stdio connections such as uvx, or Docker for containerized execution.

Option 1: Run with uvx (recommended)

Install and run methods

If you prefer to run the MCP server locally without containers, you can use one of these commands directly.

{
  "mcpServers": {
    "weather": {
      "command": "uvx",
      "args": ["mcp-server-weather"]
    }
  }
}

Docker-based run

You can run the Weather MCP Server in Docker using the following configuration.

{
  "mcpServers": {
    "weather": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "mcp/weather"]
    }
  }
}

Available tools

get_24h_weather

Fetches the weather forecast for the next 24 hours for a given location, accepting city name or coordinates as input.

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