"Documentation URL for a service API, data, and LLM usage" matching MCP servers:

Exposes weather, air quality, traffic, transit, parking, POI and government service guide tools over MCP stdio, backed by a real API → cache → seed data fallback chain. Enables multi-agent city service Q&A without requiring any API key to run.

An MCP server that provides live weather data over stdio, with tools for current conditions, 5-day forecasts, and US weather alerts.

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 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.

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.

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.

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

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

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.

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.

A learning project demonstrating how to build MCP servers with Python, featuring weather query tools that showcase custom tool creation, configuration, and integration with AI assistants.

A simple service using Model Context Protocol (MCP) to provide weather information for multiple cities including Fukuoka, Tokyo, Osaka, Moscow, and New York.

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.

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

A weather service built using Model-Context-Protocol (MCP) that provides current weather and forecasts for Indian cities using WeatherAPI.com.

Provides current weather conditions and forecasts for Singapore from official NEA APIs, enabling users to query real-time weather data and multi-day forecasts through natural language.

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.