"Documentation for Wagtail CMS" matching MCP servers:

A Model Context Protocol server that provides current weather forecasts for specific locations and active weather alerts for US states.

Provides weather information for the United States through the Model Context Protocol. Enables users to query current weather conditions and forecasts for US locations.

A simple Node.js MCP server that exposes three tools: greet for personalized messages, calculate for basic math operations, and weather_info for mock weather data retrieval.

Fetches precipitation forecasts for any location using Buienradar and integrates with Claude for Desktop to provide accurate two-hour weather predictions.

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.

Enables AI assistants to access real-time weather data by city and manage HR operations including job applications, recruitment tracking, and interview scheduling through a unified, modular interface with live updates via SSE.

Hosted MCP server for weather forecast data. Enables AI agents to discover datasets, build validated API requests, and execute live weather queries after OAuth.

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.

Provides real-time weather information and multi-day forecasts using the Open-Meteo API through a robust, enterprise-grade architecture. It enables AI assistants to retrieve current conditions, 7-day forecasts, and contextual weather data for any location.

Enables AI agents to retrieve live weather updates for any city via OpenWeatherMap, wrapped in MCP format.

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

Provides current weather and forecasts for any city via natural language, using OpenWeatherMap API and OpenAI for conversational interface.

Provides weather data integration using the OpenWeatherMap API, enabling users to fetch current weather conditions, hourly and daily forecasts, weather alerts, and geocoding services for any location worldwide.

Provides real-time weather data and current conditions for major Chinese cities and global locations using the wttr.in API. This HelloAgents-based server enables querying of temperature, humidity, and weather status without requiring an external API key.

Provides real-time, historical, and forecasted weather data for any location worldwide using the Open-Meteo API. It includes specialized tools for agricultural growing conditions, weather alerts, and up to 16 days of forecasts across multiple transport modes.

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.

Provides real-time weather information for Brazilian cities, built with domain-driven design and SOLID principles.

MCP server for NASA POWER climate data, offering a climatology tool to retrieve long-term monthly averages for any coordinate. Supports natural language queries through the Pipeworx gateway.

A monorepo for learning the Model Context Protocol with TypeScript, featuring example MCP servers for weather data and tax calculation.

A Model Context Protocol server that enables AI models to fetch weather alerts and detailed forecasts for US locations using the National Weather Service API.