Weather

Provides weather forecasts and city lookup via MCP with 24h forecasts and location-based queries.

python

2

GitHub Stars

python

Language

6 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": {
    "xuezhijian-mcp_weather": {
      "command": "uvx",
      "args": [
        "mcp-server-weather"
      ]
    }
  }
}

The Weather MCP Server provides 24-hour weather forecasts and city information lookup via the Model Context Protocol, enabling you to fetch short-term weather data and search cities by name or coordinates for your AI workflows.

How to use

You access weather data by using an MCP client to request the available tool get_24h_weather. Provide a location as a city name or a pair of coordinates, and you’ll receive a forecast for the next 24 hours. Use this to power planning, travel planning, or decision-making assistants that rely on real-time weather information.

How to install

Prerequisites you need before installing this server are Python and a runtime environment capable of executing Python modules. You will also need network access to install Python packages if you choose the pip route.

pip install mcp-server-weather

# Run the server as a module
python -m mcp_server_weather

Additional sections

Configuration and startup options let you run the server in different environments. Choose the method that best fits your deployment workflow.

Available tools

get_24h_weather

Fetches the weather forecast for the next 24 hours for a given location. Requires location as a city name or coordinates (e.g., 北京 or 116.41,39.92).