"Resources for Integrating Python, Data Science, MySQL, and Flask API Development" 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 conditions and 7-day forecasts for any location worldwide, covering temperature, humidity, wind, and precipitation, with pay-per-call micropayments via x402.

Real-time Singapore government data for AI agents. Weather forecasts, air quality (PSI/PM2.5), HDB carpark availability, and taxi supply from data.gov.sg.

Enables AI agents to fetch real-time weather conditions, 5-day forecasts, and coordinate-based climate data for global locations, with x402 micropayment integration for paid API access.

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 local MCP server that integrates FastMCP with OpenAI to enable natural language queries for current weather, forecasts, and currency conversion using ExchangeRate-API and Open-Meteo.

Provides access to Japan Meteorological Agency (JMA) weather data including real-time observations, historical weather data, and forecasts from 1286 AMeDAS stations across Japan.

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 modular MCP server that connects to external APIs, providing tools for weather data, user management, and company operations. Features a scalable architecture with TypeScript support, HTTP client abstraction, and robust error handling.

Enables access to Singapore government open data and real-time environment/transport feeds including weather, air quality, taxi availability, and traffic incidents.

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.

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.

OAuth-protected FastMCP server exposing eight read-only public APIs (currency, weather, art, pets, dictionary, random images, vehicles) via MCP tools, with optional Gemini LLM-based routing for query selection.

A Model Context Protocol (MCP) Server that provides unified access to multiple external APIs (weather, news, financial data) through a single, consistent interface for AI agents and LLMs.

Single-file HTTP MCP Server for WeatherAPI.com to get current weather, forecasts, and location data. Supports bearer token authentication and exposes MCP tools for weather data retrieval.

Enables Claude Code to query real-time Korean weather, air quality, and monitoring station information through natural language, using public data APIs with caching and error handling.

Provides weather forecasts and alerts for US locations via the National Weather Service API, enabling AI assistants to deliver real-time weather information.

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.

Enables AI to read live weather data and manage a persistent to-do list through MCP tools, demonstrating both read and write capabilities without API keys.