"Analyzing Python Modules, Docker Files, and Generating Mock Data or Outputs" matching MCP servers:

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

Enables AI agents to retrieve current atmospheric conditions for a specified location via OpenWeatherMap.

An MCP server that makes live Earth data usable by AI agents. Its initial data sources cover natural hazards: earthquakes from the USGS FDSN event catalog and volcanic activity from the Smithsonian Global Volcanism Program.

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.

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.

A mock MCP server offering tools like weather, arithmetic, and time, demonstrating token separation between the Kuadrant gateway and backend.

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.

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

Enables AI assistants to access real-time weather data by city and manage HR operations including job applications, recruitment tracking, and interview scheduling through a unified, modular interface with live updates via SSE.

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

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.

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.

An advanced Model Context Protocol server that integrates real-time weather data, local file system navigation, and geographic information with AI-powered analysis tools. It enables users to perform complex data evaluations and manage files while accessing live climatic and demographic data through compatible MCP clients.

A local, no-auth MCP server that exposes mocked weather forecast and supported cities tools over Streamable HTTP, enabling developers to test MCP integration with hosts like ChatGPT, Claude, and MCP Inspector.

Official aviation data MCP by Flight Master DAST (航班管家 DAST), providing flight status, route search, onboard comfort, delay and cancellation risk, airport weather forecasts, and real-time or historical flight trajectories.

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.

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 access to Hong Kong climate and weather data from the Hong Kong Observatory, including current conditions, forecasts, warnings, tides, and more.

An MCP server that provides real-time weather alerts, forecasts, stock market data, and news information through various API integrations.

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.

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.

MCP server providing access to Malaysia's government datasets, dashboards, weather forecasts, and transport data through a unified search system and hybrid data access architecture.

Provides integrated access to location-based weather, reporting history, and infrastructure status data for safety reporting systems. It supports both SSE and stdio protocols for flexible integration with various AI agents and clients.

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

Provides real-time weather information for any city worldwide using the Open-Meteo API, returning current temperature, wind speed, and geographic coordinates through a containerized MCP server.

Provides AI assistants with access to real-time space weather data and forecasts from NOAA's Space Weather Prediction Center, enabling queries and interpretations of geomagnetic storms, solar flares, and related indices.

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.