Juhe Weather

Provides nationwide weather forecasts by city/region via an MCP server for integration with LLM workflows.

python

0

GitHub Stars

python

Language

7 months ago

First Indexed

3 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": {
    "juhemcp-jweather-mcp-server": {
      "command": "uvx",
      "args": [
        "jweather-mcp-server"
      ],
      "env": {
        "JUHE_WEATHER_API_KEY": "your_api_key"
      }
    }
  }
}

The Juhe Weather MCP Server lets you query nationwide weather forecasts through a model context protocol (MCP) server. It wires weather data from Juhe to your language model workflows, so you can ask for current forecasts by city or region and incorporate weather insights directly into your prompts and responses.

How to use

You use this MCP server by invoking its weather query tool from your MCP client. The core tool is query_weather, which accepts a city name and returns the local weather forecast as text, images, or embedded resources. You can ask for forecasts by city, region, or district using the required city parameter.

How to install

Prerequisites: Python 3.10 or higher is required. You may install and run the server using either the uvx runner or Python’s pip package.

# Option 1: run with uvx (recommended)
uvx jweather-mcp-server

# Option 2: install with pip and run as a module
pip install jweather-mcp-server

python -m jweather_mcp_server

Additional setup and configuration

Set your API key for the Juhe Weather service so the MCP server can query forecasts.

JUHE_WEATHER_API_KEY=your_api_key

Available tools

query_weather

Query the local weather forecast for a given city or region. Requires a city parameter and returns text content, image content, or embedded resources with the forecast.