"Using MySQL STDiO with Node.js or Python to Implement an MCP Server" matching MCP servers:

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

Enables fetching weather forecasts for the USA via NWS API and for Israel via browser automation using Playwright.

An MCP server that enables LLMs to automate browser interactions using Playwright to fetch real-time Israeli weather data.

An MCP server that uses Google Gemini and Playwright to fetch current weather for Israeli cities, extracting data from live websites to answer queries in Hebrew or English.

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.

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.

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.

An MCP server that provides weather information like forecasts and alerts for US locations using the National Weather Service API.

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.

A Model Context Protocol (MCP) server that provides US weather forecasts and active alerts using the National Weather Service API.

Provides current weather data for any location using the OpenWeatherMap API.

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 automatic weather information retrieval through a custom MCP server integrated with OpenAI using Cloudflare tunnels. Demonstrates seamless function calling between OpenAI and custom MCP tools without manual intervention.

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

Provides current weather information for Japanese cities using the Open-Meteo API. A sample MCP server built with FastAPI_MCP to demonstrate integrating MCP with FastAPI.

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 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.

Enables querying weather data through natural language, providing current conditions, daily and hourly forecasts, and city comparisons using the wttr.in API.

Provides weather information through MCP tools integrated with a FastAPI backend, enabling users to query current weather for single or multiple cities and check API health status.

Enables real-time weather data streaming through a secure MCP server. Features authentication using Descope and can be deployed to Fly.io for remote access.