"A tool or service for fetching data or resources" matching MCP servers:

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

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.

A production-oriented MCP server exposing tools for weather, currency conversion, text statistics, and server introspection, with auto-discovery, rate limiting, and API key auth.

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

Enables to query real-time weather information for any city worldwide by automatically geocoding city names and retrieving temperature, precipitation, and other data via Open-Meteo APIs, seamlessly integrated with Claude Desktop.

A minimal MCP server using FastMCP to demonstrate tool creation, including a get_weather example.

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.

Fetches live weather data from Open-Meteo without an API key and returns structured JSON with location disambiguation, enabling weather queries in LM Studio chat.

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 India-focused MCP server that provides real-time weather conditions, forecasts, air quality data, and location search capabilities using the OpenWeatherMap API.

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.

A Model Context Protocol tool that provides weather information for cities, with London access requiring Solana devnet payment via the Latinum Wallet MCP server.

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

Provides real-time weather data, forecasts, and historical weather information from OpenWeatherMap API for Claude Desktop, enabling natural language queries about current conditions, forecasts, air quality, and weather alerts worldwide.

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

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.