"Comparison of Python-based tools for converting TeX to Lean" matching MCP servers:

A Python template for creating MCP servers with embedded documentation, featuring example weather service tools using the NWS API.

Provides current weather information for any location and generates AI-powered responses using Google Gemini through FastMCP.

An MCP-based project that integrates Zhipu AI and Tencent Map APIs to provide weather queries, geocoding, and web search functionality through both command-line and web interfaces.

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

Enables querying and comparing operational numerical weather models, including global and regional, deterministic and ensemble, physics-based and AI forecasts, with a unified API.

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.

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.

Provides two MCP server examples in Python: a minimal greeting tool and a weather tool that fetches real-time data from Open-Meteo API.

A tutorial-based MCP server that fetches real-time weather data from the OpenWeatherMap API for specified locations. It serves as a practical example for implementing the Model Context Protocol using Python and the FastMCP library.

Enables real-time air quality comparison between two cities through natural language, with an interactive dashboard widget for pollutant analysis.

Provides weather information from the National Weather Service API with full MCP OAuth 2.1 compliance, including weather alerts and forecasts for US locations through secure Azure AD authentication.

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.

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

MCP server that provides Korean weather information using grid coordinates and the Korea Meteorological Administration API, allowing users to query current weather conditions and forecasts for specific locations in Korea.

Provides weather forecast and alert information for US locations using the National Weather Service API. Enables users to get detailed weather forecasts by coordinates and retrieve active weather alerts by state.

Enables AI agents to fetch real-time weather data for any location using the OpenWeatherMap API. Demonstrates how to build a simple MCP server that exposes weather information as a tool for LLMs.

Enables web search, browser control, weather queries, file clipboard operations, and memory search through MCP.

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.