Enables searching and retrieving VRBO vacation rental listings using browser automation. Supports filtering by location, dates, guests, price range, and property features to find and compare vacation rentals.
A comprehensive system that helps organizations track, manage, and respond to security vulnerabilities effectively through features like vulnerability tracking, user management, support tickets, API key management, and SSL certificate management.
Enables interaction with the Internet Archive's Wayback Machine to save web pages, retrieve archived versions, search historical snapshots, and check archive statistics without requiring API keys.
A Model Context Protocol (MCP) server built with the mcp-framework to provide weather-related tools and data to AI clients. It enables integration of weather capabilities and custom tools into the MCP ecosystem for use with platforms like Claude Desktop.
get weather
A TypeScript-based MCP server that facilitates note management and weather queries. It enables users to create, access, and summarize notes while providing integration for services like flomo.
Enables querying 7-day weather forecasts for Chinese cities and regions by scraping China Weather website data. Supports both user input and AI model intelligent city/region parameter matching.
An MCP server that provides real-time weather alerts for US states using the National Weather Service (NWS) API. It also includes utility features for message echoing and generating customizable greeting prompts.
Provides weather information using the US National Weather Service API, including active weather alerts for US states and location-specific forecasts based on latitude and longitude coordinates.
Enables AI agents to access real-time and historical weather data through multiple weather APIs including OpenMeteo, Tomorrow.io, and OpenWeatherMap. Provides comprehensive meteorological information including current conditions, forecasts, historical data, and weather alerts.
A lightweight server that exposes weather-related tools (get_coordinates and get_forecast) using the Modular Command Protocol, designed for integration with AI agents and LLMs.
Provides tools to retrieve current weather conditions and daily forecasts for cities worldwide using the Open-Meteo API. This Python-based server enables MCP-compatible clients to access real-time meteorological data through a standardized interface.
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.
A demonstration MCP server created for learning purposes, allowing Claude AI to interact with local files and a Postgres database while implementing a custom Model Context Protocol.
A simple server that implements the Model Context Protocol, allowing AI models like Claude to fetch real-time weather information for any location using the wttr.in API.
A weather query MCP server providing current weather, forecasts, temperature conversion, and travel weather advice using wttr.in without API tokens.
Provides real-time weather forecasts and active weather alerts for US locations using the National Weather Service API. It enables users to retrieve detailed local forecasts via coordinates and monitor state-specific weather warnings.
A containerized server that provides weather tools for AI assistants, allowing them to access US weather alerts and forecasts through the National Weather Service API.
A production-grade Model Context Protocol server that provides real-time weather data and 5-day forecasts using the Open-Meteo API. It offers comprehensive meteorological metrics supported by Redis caching and built-in performance monitoring tools.
This repository contains files for building an MCP server for weather tasks.
