"Spec-WorkFlow documentation or implementation" matching MCP servers:

Enables users to access five astrology tools via JSON-RPC, including natal chart, sun sign, market pulse, weather, and combined celestial conditions, integrating Free Astrology API, CoinGecko, and Open-Meteo.

Official aviation data MCP by Flight Master DAST (航班管家 DAST), providing flight status, route search, onboard comfort, delay and cancellation risk, airport weather forecasts, and real-time or historical flight trajectories.

Enables LLMs to retrieve up-to-date weather forecasts for Israeli cities from weather2day.co.il using Playwright and MCP, with Hebrew city name support and a sequential tool workflow.

Enables querying AgroClimate company data via natural language through ChatGPT or Claude.

Combines UK Met Office weather forecasts with travel routing to provide outfit recommendations for walking, cycling, or driving journeys.

SimBrief MCP Server brings flight planning data directly into your AI workspace. Access your SimBrief flight plans (OFP), retrieve real-time METAR weather reports for any airport, and fetch pilot information - all through natural conversation. Built for virtual pilots who want to streamline their pre-flight briefing workflow in Microsoft Flight Simulator, X-Plane, and other flight simulation platf

Enables AI agents to access paid tools like crypto prices, weather, translation, and web intelligence via per-request USDC payments on Base, with no API keys or subscriptions.

Enables users to geocode city names and retrieve current weather conditions plus a 1–7 day forecast through a public weather API, with no API key required, for MCP clients such as Claude Desktop or Cursor.

Provides weather forecast data for locations in China using the HeFeng Weather API, with real-time, hourly, or daily forecasts and location-based queries.

A Model Context Protocol server implementation that provides tools for querying flight information, weather data, and flight comfort metrics through Variflight services.

A Model Context Protocol server that provides weather information and forecasts based on user location or address input.

A simple demonstration server for the MCP Python SDK that provides weather alerts for locations, allowing users to query weather information through Claude Desktop or Cursor.

A Python-based MCP server that predicts tomorrow's weather. It can be used remotely via uvx or locally with uv.

A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.

A cross-platform MCP server that provides weather forecasts by coordinates, location name, or IP address without requiring API keys. It leverages Open Meteo and OpenStreetMap to deliver fast, single-query weather lookups.

Provides access to official MeteoSwiss weather data, including regional reports, daily forecasts, and website search functionality across multiple languages. It enables AI assistants to retrieve real-time weather information and documentation from MeteoSwiss using the Model Context Protocol.

Adapts the HeFeng QWeather MCP server for ModelScope cloud hosting, allowing weather queries through stdio or HTTP with a default stdio entry.

Provides weather data from the Thai Meteorological Department (TMD) with tools for querying stations, weather by province, and summaries, deployable via Docker or remote server.

An MCP server that provides real-time weather information, 4-day forecasts, and city search functionality for Chinese cities via the AMap API. It enables users to query weather data using city names or administrative codes through natural language interactions.

Enables agents to fetch global current conditions, air quality (PM2.5, PM10, O₃, NO₂, SO₂, CO, US/EU AQI), UV index, wind, sunrise/sunset and 1–16 day forecasts with optional hourly rows via Open-Meteo, no API key needed. Returns a localized human-readable summary plus complete JSON, resolving locations by city name, coordinates, or public IP over stdio MCP.