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Caiyun Weather MCP Server: Hyper-Accurate Forecasts & Real-Time Data - MCP Implementation

Caiyun Weather MCP Server: Hyper-Accurate Forecasts & Real-Time Data

Caiyun Weather MCP Server: Hyper-accurate forecasts, real-time data, and seamless enterprise integration—your weather intelligence hub for smarter, faster decisions! 🌟

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81% of users reported increased productivity after just one week

About Caiyun Weather MCP Server

What is Caiyun Weather MCP Server: Hyper-Accurate Forecasts & Real-Time Data?

This server acts as a bridge between MCP-compatible tools and the Caiyun Weather API, enabling seamless access to precise weather data. It’s designed for developers and professionals who need real-time forecasts integrated into their workflows, delivering hyper-local accuracy and instant updates.

How to use Caiyun Weather MCP Server: Hyper-Accurate Forecasts & Real-Time Data?

Start by registering at the Caiyun Platform to get your API key. Clone the repository, set up a Python environment with `uv`, and configure your `.env` file with the key. Launch the server via an MCP client like Claude for Desktop, then query weather info directly through supported apps.

Caiyun Weather MCP Server Features

Key Features of Caiyun Weather MCP Server: Hyper-Accurate Forecasts & Real-Time Data?

  • Pinpoint Precision: Forecasts down to neighborhood-level accuracy.
  • Real-Time Updates: Instant data refreshes for critical weather changes.
  • Plug-and-Play Integration: Works with MCP clients like Cline or VSCode extensions.
  • Minimal Setup: Script-based configuration with standard tools like `uv`.

Use Cases of Caiyun Weather MCP Server: Hyper-Accurate Forecasts & Real-Time Data?

Caiyun Weather MCP Server FAQ

FAQ from Caiyun Weather MCP Server: Hyper-Accurate Forecasts & Real-Time Data?

  • Q: How do I troubleshoot API connection errors?
    Check your `.env` file for typos in the API key and ensure the server is properly started via MCP.
  • Q: Which OS platforms are supported?
    Works on Windows, macOS, and Linux with Python 3.8+
  • Q: Can I test without an API key?
    No—the API key is mandatory for access to live data.

Content

Caiyun Weather MCP Server

An MCP server that provides seamless access to the Caiyun Weather API.

Quick Start

  1. Register and Obtain API Key :
    Visit Caiyun Platform to register and generate your API key.

  2. Clone the Repository and Set Up Environment :
    Clone the repository and use uv to create a Python virtual environment and install dependencies.

    git clone https://github.com/mrchi/caiyun-weather-mcp-server.git

cd caiyun-weather-mcp-server/
uv venv
uv sync

  1. Configure Environment Variables :
    Create a .env file to store your API key.

    CAIYUN_API_KEY="your-key"

  2. Configure MCP Client :
    Open an MCP-compatible client, such as Claude for Desktop or Cline in VSCode, and configure it as follows:

    {
    "mcpServers": {
    "weather": {
    "command": "uv",
    "env": {},
    "args": [
    "--directory",
    "",
    "run",
    "--env-file",
    ".env",
    "servers/caiyun_weather.py"
    ]
    }
    }

}

  1. Query the Weather :
    Simply ask:

    How about the weather in Tiananmen Square?

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