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MCP Weather Server

by sidharthrajaram
GitHub
Python
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基于 SSE 的MCP服务器和客户端

这演示了基于 SSE 的 MCP 服务器和使用其工具的独立 MCP 客户端的工作模式。基于此处的原始讨论。

用法

注意：确保在.env中或作为环境变量提供ANTHROPIC_API_KEY 。

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 ...

为什么？

这意味着 MCP 服务器现在可以是一个正在运行的进程，代理（客户端）可以随时随地连接、使用和断开连接。换句话说，基于 SSE 的服务器和客户端可以是解耦的进程（甚至可能位于解耦的节点上）。这与基于 STDIO 的模式（客户端本身会将服务器作为子进程生成）不同，并且更适合“云原生”用例。

通过 Smithery 安装

要通过Smithery自动为 Claude Desktop 安装基于 SSE 的服务器和客户端：

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

服务器

weather.py是一个基于 SSE 的 MCP 服务器，它提供了一些基于国家气象局 API 的工具。改编自 MCP 文档中的示例 STDIO 服务器实现。

默认情况下，服务器在 0.0.0.0:8080 上运行，但可以使用命令行参数进行配置，例如：

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

客户

client.py是一个 MCP 客户端，用于连接并使用基于 SSE 的 MCP 服务器的工具。代码改编自 MCP 文档中STDIO 客户端的示例实现。

默认情况下，客户端连接到命令行参数中提供的 SSE 端点，例如：

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

This server cannot be installed

-
security - not tested
F
license - not found
-
quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

这个基于 SSE 的 MCP 服务器允许用户连接并与国家气象局 API 交互以检索天气警报和预报。

  1. 用法
    1. 为什么？
      1. 通过 Smithery 安装
      2. 服务器
      3. 客户

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