What transport does mcp-weather use?
SSE (Server-Sent Events), allowing the server to run as a remote process separate from the client.
@erhwenkuo
基本信息
一個給 AI Agent 使用的 MCP Server 範例,用來取得美國各州的天氣預報與警示資訊
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-weather-erhwenkuo": {
"command": "uv",
"args": [
"run",
"server"
]
}
}
}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。
mcp-weather is an MCP server example for AI agents to retrieve US weather forecasts and alerts. It integrates with the National Weather Service API and uses SSE transport for remote, decoupled access.
Clone the repository, install dependencies with uv sync, then start the server with uv run server or via Docker. Connect using an MCP client (e.g., MCP Inspector) via SSE URL http://<host>:<port>/sse. The server exposes two tools: get_alerts and get_forecast. Host and port can be configured with command-line arguments.
SSE (Server-Sent Events), allowing the server to run as a remote process separate from the client.
Two tools: `get_alerts` for alerts by US state, and `get_forecast` for forecast by latitude/longitude.
Run with `uv run server` after installing dependencies, or build and run as a Docker container.
Requires Python and uv runtime, or Docker. The examples use Ubuntu 24.04.
Yes, the tools are for US states and coordinates, using the National Weather Service API.

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