"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.

Provides Open-Meteo weather tools that return both structured forecast data for the model and a weather card (image link or text) for the user, plus geocoding of place names to coordinates. Requires no API key and works over stdio or streamable HTTP.

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.

Provides live weather radar and text-based radar maps for any location via the get_weather tool, returning structured data and character grid visualizations readable by both humans and LLM agents.

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.

MCP server that uses Playwright to scrape real-time weather forecasts for Israeli cities and returns structured text data (temperature, humidity, wind) to LLMs.

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.

Enables LLMs and autonomous agents to access live global weather consensus, storm and seismic monitoring, space weather, webcam search, and tactical SITREP generation, plus sub-5ms local queries across 1M+ spatial sensor nodes in SQLite.

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.

Provides tools for greetings, calculations, weather, geocoding, and image generation via Hugging Face, deployable to Vercel and integrable with Cursor.

A TypeScript-based Model Context Protocol server that enables Claude Desktop to fetch real-time weather data via external weather APIs. It provides a simple integration for users to query current weather information through natural language interactions.

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.

Enables users to access five astrology tools via JSON-RPC, including natal chart, sun sign, market pulse, weather, and combined celestial conditions, integrating Free Astrology API, CoinGecko, and Open-Meteo.

Provides tools for greeting, calculation, time lookup, geocoding, weather, and image generation via HuggingFace, with streamable HTTP and stdio support, deployable on Vercel.

Provides access to Visual Crossing Weather Timeline API for weather data retrieval via natural language queries.

Enables AI agents to pull the Astronomy Picture of the Day, near-Earth asteroid close approaches, Mars rover imagery, and image-library media, plus space-weather events such as solar flares, coronal mass ejections, geomagnetic storms and solar energetic particles. Also surfaces forecaster alerts, watches, warnings and weekly summaries for space-weather situational awareness.

Enables users to work out soil, mulch, compost, topsoil and potting mix volumes and bag counts for beds and pots, compare bagged versus bulk costs at their own prices, check what to sow each month, and see how often a town has had frost after Melbourne Cup Day. It runs as a read-only, stateless MCP server that connects directly inside Claude, ChatGPT, Cursor and VS Code.

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

Enables retrieval of weather data and forecasts through tool calls to support solar generation and next-month electricity bill predictions.

Provides tools for image generation, weather, geocoding, and basic utilities, deployable on Vercel via Streamable HTTP.

Enables agents to pull live overnight forecasts for grower blocks and score frost risk with an itemised, versioned engine, returning cold-window start/end hours and a run-protection, stand-by, or no-action verdict. It also lets agents list blocks and sheets, create or update idempotent decision records, and replay their SHA-384 hash chain to verify nothing was altered.

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

Enables AI assistants and applications to access Dutch weather information, including current conditions, forecasts, alerts, historical data, and automatic resolution of Dutch location names to grid identifiers.

Enables AI assistants to list demo inverter sites, inspect production, pull weather context, and get deterministic panel-cleaning recommendations over MCP using synthetic solar operations data.

Next.js MCP server with Streamable HTTP, deployable to Vercel, providing tools for greeting, calculation, geocoding, weather, and image generation via HuggingFace tokens.

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

Enables AI agents to fetch keyless 3-hourly forecasts out to 72 hours, including cloud cover, seeing, and transparency for stargazing and astronomy planning, plus general weather conditions such as temperature, humidity, wind, and precipitation.