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.
@nosadaniel
基本情報
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
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"weather": {
"command": "node",
"args": [
"/mcp-weather-server/build/index.js"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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