"Highest voted or most used items, services, or tools" matching MCP servers:

An MCP server that enables AI assistants to call weather tools, read resources, and use prompt templates for live weather data integration.

An MCP server providing tools for weather, calculations, currency conversion, timezone queries, and unit conversions.

FastAPI server with Google Gemini AI integration that provides auto-routing to multiple tools including weather, news, web search, dictionary, and quotes APIs through natural language prompts.

An MCP (Model Context Protocol) server implementation using HTTP SSE (Server-Sent Events) connections with built-in utility tools including echo, time, calculator, and weather query functionality.

Enables querying weather, country information, exchange rates, public holidays, and dictionary definitions by wrapping public APIs as MCP tools over stdio.

Enables AI models to access external services including weather data, file system operations, and SQLite database interactions through a standardized JSON-RPC interface. Features production-ready architecture with security, rate limiting, and comprehensive error handling.

A Model Context Protocol server that provides tools for weather forecasting and Gmail interaction.

Provides five utility tools: weather information, calculator, currency converter, timezone information, and unit converter.

Provides access to comprehensive weather data including real-time conditions, forecasts, historical weather, marine data, astronomy information, and weather alerts through the Weatherapi.com API.

Provides access to comprehensive weather data including current conditions, forecasts, air pollution levels, US weather alerts, earthquake information, and country details using coordinates, place names, or zip codes.

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

An MCP server that provides access to current weather data and 5-day forecasts via the Open Weather13 API. It enables users to retrieve weather information using city names or geographic coordinates across various languages.

Provides access to weather information by location using the API Ninjas Weather API, supporting queries by coordinates, zip code, city, state, and country.

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.

Enables notes management, weather and news search, document ingestion and RAG-based semantic search using GroundX, with OpenAI GPT integration for summarization and completions.

A comprehensive MCP server collection designed for Cursor that provides system information queries, personal profile management, web search capabilities, and weather forecasting. Enables users to access hardware details, manage resume data, search the web, and get weather updates through natural language interactions.

World Weather Online MCP Server gives AI agents direct access to one of the world's most comprehensive weather APIs — trusted by 300,000+ developers and used by major airlines and airports worldwide. Tools available: * get_weather — current conditions and up to 14-day hourly forecasts for any city, postcode, or lat/lon * get_historical_weather — past weather data from July 2008 onwards, up to 30-

Predicts the likelihood of school closures due to snowfall and severe winter weather using real-time weather data and machine learning algorithms.

A demo MCP server that enables users to interact with various tools through natural language, including note management, weather queries, calculations, file operations, and shell commands. Uses Ollama for intent detection and structured command parsing from free text input.

Provides real-time weather data from Open-Meteo API, mathematical calculations, and time zone information through MCP protocol. Works with both Claude Desktop and Gemini AI CLI for natural language interactions.