"Exploring text-to-image generation techniques" matching MCP servers:

Enables travel-related queries and planning including weather, train and flight information, itinerary generation, and travel knowledge retrieval via RAG, using an AI agent with MCP protocol.

Enables interactive access to JAXA's satellite observation data (precipitation, land surface temperature, NDVI, elevation, soil moisture) via Claude, providing tools for point time series, dataset information, and area image generation.

Enables AI agents to plan weather-aware trips across Thailand by providing real-time sky conditions, area search, and weather-fit itinerary generation for 150+ locations through Arnfa's API.

Provides real-time European and GB electricity grid data via MCP, including generation, prices, carbon intensity, and grid infrastructure.

Provides travel planning tools for Cox's Bazar, Bangladesh, including weather forecasts, AI-powered itinerary generation, and pre-configured travel planning prompts.

Provides comprehensive functionality including weather data, system utilities, Azure cloud management, and AI-powered image generation and editing. Features interactive parameter selection through MCP elicitation for enhanced user experience.

Provides real-time weather information and multi-day forecasts using the Open-Meteo API through a robust, enterprise-grade architecture. It enables AI assistants to retrieve current conditions, 7-day forecasts, and contextual weather data for any location.

Enables users to produce explainable UK garden watering recommendations as deterministic millimetres, litres and runtime from self-reported garden details or an optional postcode, without controlling irrigation hardware.

Enables AI assistants to fetch real-time weather data, forecasts up to 10 days, and compare weather conditions between cities using WeatherAPI.com with support for both Celsius and Fahrenheit units.

Wraps the Tomorrow.io Weather API to provide weather data, allowing AI agents to query forecasts and historical conditions via natural language.

A sample .NET MCP server demonstrating tool implementation including random number generation, personalized greetings, and weather information for US zip codes.

Enables LLMs to retrieve 24-hour weather forecasts and city information through natural language queries using city names or coordinates.

MCP server providing weather lookup, semantic search over personal notes (RAG), and image generation tools for any MCP client like Claude Desktop.

Provides weather queries for major Chinese cities, hot news and news search, and text processing tools using free public APIs.

Provides morning/lunch/evening weather and fine dust (PM10/PM2.5) data for multiple locations using Korean weather and air quality APIs, outputting structured text suitable for daily reports.

Provides real-time NOAA space weather data (solar flares, Kp index, solar wind) and analyzes HF radio propagation conditions for amateur radio operators to determine optimal frequency bands.

A server for querying surf spot data and searching spots, with tools to list regions, spots, get spot info, find spots by criteria, and get mock forecasts.

Enables LLMs to fetch real-time weather data for any city and perform basic arithmetic operations like addition.

An MCP server that generates random numbers by using national weather data as entropy seeds. It provides a unique way to generate random values through weather API integration within the Model Context Protocol.

A server that integrates the MCP library with OpenAI's API, allowing users to interact with various tools, such as the weather tool, through natural language queries.