"Guide to Deploying a Large Language Model Framework" matching MCP servers:

MCP server enabling real-time weather queries via Tavily API and internet usage data by country via MongoDB.

Provides current weather alerts for specified locations to AI assistants through the Model Context Protocol.

Integration platform for aviation data sources including weather, NOTAMs, airport information, and flight planning APIs, enabling comprehensive pre-flight preparation and in-flight decision support.

Provides real-time water temperature and tide predictions for any lake, river, ocean, bay, or beach using NOAA, USGS, and other sources.

Provides deterministic surf-window recommendations and explanations based on stored decisions, enabling safe surf planning through tool-backed evidence.

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 retrieve current weather conditions and 3-day forecasts for cities through standardized MCP tools over stdio.

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 language models to fetch weather forecasts for Israeli cities by automating a real browser with Playwright to interact with weather2day.co.il, including entering a city, selecting it from autocomplete, and extracting the forecast content.

Solar vitamin D: whether the sun where you are can make vitamin D right now, how many minutes your Fitzpatrick skin type needs for a target dose, which months of the year synthesis is possible at your latitude, and how much a sun session produced. Computed from solar geometry, a clear-sky UV model with ozone and altitude, and live Open-Meteo UV data.

An MCP server that provides weather and time tools, enabling users to get current time, weather alerts, and forecasts through natural language with Claude Desktop.

A Model Context Protocol server for space weather and geomagnetic conditions, enabling AI agents to answer queries about solar flares, solar wind, geomagnetic storms, aurora forecasts, and more from authoritative data.

Enables AI assistants to retrieve current weather conditions and multi-day forecasts for any location, with optional natural-language summaries.

MCP server connecting AI models to SRG SSR public APIs – weather, TV/radio metadata, program guide and Swiss votations/elections since 1900.

A Model Context Protocol server that provides real astronomical data (planetary positions, lunar phases, space weather) with astrological interpretations to help users make decisions about deployments, incident analysis, and scheduling.

Model Context Protocol server for real-time US climate risk and home insurance metrics.

Enables querying AgroClimate company data via natural language through ChatGPT or Claude.

Provides real-time weather alerts for US states using the National Weather Service API, enabling users to fetch and view active weather warnings through natural language queries.

Enables natural-language access to MET Norway weather forecasts, including hourly forecasts worldwide and place-name geocoding, via MCP tools.

Provides calibrated weather probability signals for Kalshi prediction markets by combining dual-model forecasting (NWS + GFS ensemble) to identify mispriced temperature markets. Enables AI agents to access bias-corrected forecasts and edge signals for weather prediction market intelligence.