What is the transport mechanism used by MCP Weather Server?
The server communicates via the standard input/output (stdio) transport, as shown in the Claude configuration where `node` is invoked with the server script.
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基本信息
A specialized weather data server built using the MCP SDK and TypeScript that provides weather information through the Model Context Protocol (MCP). This project enables Large Language Models that support MCP to access weather data directly, creating a seamless integration betwee
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"weather": {
"command": "node",
"args": [
"/mcp-weather-server/build/index.js"
]
}
}
}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。
A TypeScript-based server built with the MCP SDK that enables large language models (LLMs) supporting the Model Context Protocol to retrieve real-time weather forecasts and alerts. It acts as middleware between weather data APIs and AI systems, bridging meteorological data sources with language models.
Clone and build the repository, then add the server configuration to your Claude desktop configuration file (claude_desktop_config.json). Restart the Claude desktop application; your Claude instance will then have access to real-time weather data through MCP.
The server communicates via the standard input/output (stdio) transport, as shown in the Claude configuration where `node` is invoked with the server script.
The README does not specify authentication or API key requirements. It only documents the server build and configuration steps.
The server is built with TypeScript and requires Node.js to run. The configuration uses the `node` command to execute the built index.js file.
The README only provides integration instructions for the Claude desktop client. It states the server works with any LLM that supports the Model Context Protocol, but no other clients are explicitly documented.
The README does not name the upstream weather API or describe data storage; it only indicates that the server acts as middleware between weather data APIs and language models.

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