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Weather MCP Server

@Jai-Keshav-Sharma

代码仓库

基本信息

分类

媒体与设计

许可证

MIT license

传输方式

stdio

作者

Jai-Keshav-Sharma

关于 Weather MCP Server

暂无概览

#weather#mcp-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": {
    "Creating-Weather-MCP-Server": {
      "command": "docker",
      "args": [
        "pull",
        "ksharma9719/weather-mcp-server"
      ]
    }
  }
}

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 implementation that provides weather alerts for US states using the National Weather Service API. It is built with the MCP Python SDK and is intended for developers integrating weather data into AI assistants, CLI tools, or custom applications.

How to use Weather MCP Server?

Install dependencies via pip install -r mcpserver/requirements.txt or pull the Docker image ksharma9719/weather-mcp-server. Run the server locally with python weather.py or in Docker with docker run -p 8000:8000 ksharma9719/weather-mcp-server. Invoke the included get_alerts tool by providing a two-letter US state code (e.g., CA). Connect using any of the provided client examples (stdio, SSE, or LLM‑powered CLI).

Key features of Weather MCP Server

  • Provides weather alerts for US states via the National Weather Service API
  • Supports stdio and SSE (Server-Sent Events) transport
  • Includes an LLM-powered CLI client using Groq
  • Offers Docker containerization for easy deployment
  • Integrates with Claude Desktop and Cursor IDE
  • Built-in conversation memory support

Use cases of Weather MCP Server

  • Fetching active weather alerts for a specific US state
  • Integrating real-time weather data into an LLM-based assistant
  • Automating weather notifications through an MCP-compatible client
  • Testing or demonstrating custom MCP server implementations
  • Building a containerized weather alert service for cloud deployment

常见问题

1

What are the runtime requirements?

Python 3.11 or higher and the uv package manager are required for local development. Docker is optional but recommended for containerized use.

2

How do I get weather alerts for a state?

Call the `get_alerts` tool with the `state` parameter set to a two-letter US state code (e.g., "CA" for California).

3

Does the server need an external API key?

The National Weather Service API used for alerts requires no key. An optional `GROQ_API_KEY` environment variable is needed only if you want to use the LLM‑powered CLI client.

4

Can I run Weather MCP Server in Docker?

Yes. Pull the pre-built image from Docker Hub (`ksharma9719/weather-mcp-server`) or build locally using the provided `Dockerfile` in the `mcpserver` directory.

5

What transport options are available?

The server supports both stdio and SSE (Server-Sent Events) transports. Example clients for both are included in the repository.

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