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mcp-sse天气服务

这个基于SSE的MCP服务器允许用户连接并交互以获取国家气象局API的天气警报和预报。

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README

SSE-based Server and Client for MCP

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This demonstrates a working pattern for SSE-based MCP servers and standalone MCP clients that use tools from them. Based on an original discussion here.

Usage

Note: Make sure to supply ANTHROPIC_API_KEY in .env or as an environment variable.

uv run weather.py

uv run client.py http://0.0.0.0:8080/sse
Initialized SSE client...
Listing tools...

Connected to server with tools: ['get_alerts', 'get_forecast']

MCP Client Started!
Type your queries or 'quit' to exit.

Query: whats the weather like in Spokane?

I can help you check the weather forecast for Spokane, Washington. I'll use the get_forecast function, but I'll need to use Spokane's latitude and longitude coordinates.

Spokane, WA is located at approximately 47.6587° N, 117.4260° W.
[Calling tool get_forecast with args {'latitude': 47.6587, 'longitude': -117.426}]
Based on the current forecast for Spokane:

Right now it's sunny and cold with a temperature of 37°F and ...

Why?

This means the MCP server can now be some running process that agents (clients) connect to, use, and disconnect from whenever and wherever they want. In other words, an SSE-based server and clients can be decoupled processes (potentially even, on decoupled nodes). This is different and better fits "cloud-native" use-cases compared to the STDIO-based pattern where the client itself spawns the server as a subprocess.

Installing via Smithery

To install SSE-based Server and Client for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @sidharthrajaram/mcp-sse --client claude

Server

weather.py is a SSE-based MCP server that presents some tools based on the National Weather Service APIs. Adapted from the MCP docs' example STDIO server implementation.

By default, server runs on 0.0.0.0:8080, but is configurable with command line arguments like:

uv run weather.py --host <your host> --port <your port>

Client

client.py is a MCP Client that connects to and uses tools from the SSE-based MCP server. Adapted from the MCP docs' example STDIO client implementation.

By default, client connects to SSE endpoint provided in the command line argument like:

uv run client.py http://0.0.0.0:8080/sse
help

运行方式说明

cloud

托管运行

托管运行通常表示这个 MCP Server 由服务方环境承载,用户一般按页面提供的连接方式或授权流程接入,不需要在本地长期启动一个 MCP 进程

  1. 打开服务方连接页
  2. 完成授权或复制端点
  3. 在 MCP 客户端中连接
terminal

本地运行 / 其它方式

本地运行通常需要用户在自己的电脑或服务器上安装依赖,把 server_config 复制到 MCP 客户端,并按 env_schema 补齐环境变量、密钥或其它配置

  1. 复制 server_config
  2. 安装所需依赖
  3. 补齐环境变量后重启客户端