Enables retrieval of weather information for major cities across Japan using the Japan Meteorological Agency API. Supports weather overviews, precipitation probability, and wind speed data with both local and remote OAuth 2.0 authenticated deployment options.
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.
A TypeScript-based Model Context Protocol server that enables Claude Desktop to fetch real-time weather data via external weather APIs. It provides a simple integration for users to query current weather information through natural language interactions.
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.
A demonstration server for ModelContextProtocol that provides weather tools and prompts for Claude AI, allowing LLMs to access external data without manual copying.
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.
A demonstration project for Model Context Protocol (MCP) that integrates weather services with multiple AI models (Claude, GPT, Gemini), enabling natural language queries for weather alerts and forecasts.
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.
Enables AI agents to retrieve real-time weather conditions and forecasts via OpenWeatherMap API. Supports interactive weather queries and travel planning through MCP tools, resources, and prompts.
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.
Enables users to get current weather information for any city through a simple JSON-RPC interface. Integrates with OpenWeatherMap API to provide real-time weather data including temperature, conditions, and other meteorological information.
An intermediate agent server that enhances LLMs with weather data capabilities using the Model Context Protocol (MCP) framework, enabling retrieval of real-time weather information.
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 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 Model Context Protocol server that provides real-time weather information and 5-day forecasts to AI assistants, supporting multiple languages and flexible units.
A weather query MCP server providing current weather, forecasts, temperature conversion, and travel weather advice using wttr.in without API tokens.
