Weather MCP Server

@sirrupesh

代码仓库

基本信息

分类

媒体与设计

传输方式

stdio

作者

sirrupesh

关于 Weather MCP Server

暂无概览

#weather-mcp #weather-server #weather-alerts

Weather MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "weather-mcp-server-sirrupesh": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Weather MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Weather MCP Server?

Weather MCP Server is a Model Context Protocol (MCP) server that provides weather information and alerts using the National Weather Service (NWS) API. It is built for developers who need to access real-time weather data through an MCP-compatible interface.

How to use Weather MCP Server?

Install Python 3.13+ and uv, then clone the repo, install dependencies with uv pip install . and run with uv run src/main.py. Alternatively, deploy with Docker using docker compose up -d; the server is then available at http://localhost:8001/sse. Two tools are provided: get_alerts(state) for US state alerts and get_forecast(latitude, longitude) for location forecasts.

Key features of Weather MCP Server

Get weather alerts for any US state
Get detailed weather forecasts using latitude/longitude
Easy-to-use MCP interface
Docker support for easy deployment
Built with Python’s MCP framework and httpx
Implements proper error handling and request timeouts

Use cases of Weather MCP Server

Retrieve active weather alerts for a specific US state
Obtain a detailed forecast for any location given its coordinates
Deploy the server containerized with Docker Compose
Integrate NWS weather data into MCP‑enabled applications

常见问题

What data source does Weather MCP Server use?

It uses the National Weather Service (NWS) API.

What are the prerequisites to run it?

Python 3.13 or higher is required for local development; Docker and Docker Compose are needed for containerized deployment.

What tools are available?

`get_alerts(state)` returns active alerts for a two‑letter US state code, and `get_forecast(latitude, longitude)` returns a detailed forecast for the given coordinates.

How do I deploy with Docker?

Run `docker compose up -d` in the project root. The server will be accessible at `http://localhost:8001/sse`.

Which port does the server use?

Inside the container the server runs on port 8000, which is mapped to port 8001 on the host machine.

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