Does this server require an API key?
No. The National Weather Service API used by this server does not require an API key, though proper request attribution via a User‑Agent header is expected.
@Samarth2001
基本情報
概要はまだありません
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。
MCP Weather Server is a weather information tool that provides forecasts, alerts, and observations using the National Weather Service (NWS) API. Built with FastMCP, it is designed for developers who need programmatic access to US weather data.
Install dependencies with pip install httpx mcp-server, then invoke the server via a FastMCP-compatible host. The server exposes seven tools (e.g., Get Weather Alerts, Get Forecast) that accept location parameters such as US state codes or latitude/longitude coordinates.
No. The National Weather Service API used by this server does not require an API key, though proper request attribution via a User‑Agent header is expected.
The server uses the National Weather Service API, which covers the United States and its territories. Tools accept US state codes for alerts and latitude/longitude for forecasts and observations.
The server requires Python with the `httpx` and `mcp-server` packages installed. It is built on the FastMCP framework.
Photo mosaic maker and AI photo collage maker: turn your own photos into a photo mosaic - one picture made of hundreds of your photos - or into a heart, number or word photo collage in seconds. No sign-in or API key need

Hosted MCP server for AI image, video, music and voice generation. Lets ChatGPT, Claude, Cursor and any MCP client create with Kling, Seedance, Nano Banana, Suno and more using PopNow credits. OAuth 2.1 sign-in, nothing

Design your mobile app UI with AI, then have your coding agent build the real app from it.
MCP server for Floors.live — design event floor plans, manage guest lists, and run intelligent seating assignments from Claude, ChatGPT, or Cursor. 32 tools.

Transcribe YouTube videos, podcasts, meetings and media links into speaker-labelled, timestamped transcripts, then search who said what, ask questions answered with timestamped citations, pull chapters and paste-ready ti
コメント