"weather" matching MCP servers:

Fetch METARs, TAFs, PIREPs, and SIGMETs/AIRMETs from the NWS Aviation Weather Center via MCP.

MCP server that exposes NOAA/SWPC HF band-condition and space-weather tools, providing real-time solar indices, band conditions, forecasts, alerts, solar wind, and X-ray flux for ham radio operators.

MCP server for space weather and HF propagation conditions — live solar flux, Kp index, DSCOVR solar wind, X-ray flux, alerts, 27-day forecast, and band-by-band outlook through any MCP-compatible AI assistant.

Provides seamless integration with NASA's public APIs, enabling AI assistants to access space and astronomy data including APOD, Mars rover photos, Near-Earth Objects, space weather events, and Earth imagery.

Provides standardized access to 20+ NASA data sources including astronomy pictures, Mars rover photos, near-Earth objects, satellite imagery, space weather, and planetary data through a unified interface optimized for AI consumption.

Provides live astronomical telemetry and space data, including ISS tracking, NASA APOD, and solar weather, via a Model Context Protocol server with SSE and JSON-RPC support.

Enables AI assistants to answer live space weather questions by exposing NOAA SWPC data as callable tools for the current Kp index, 3-day geomagnetic forecast, GOES solar flare activity, and aurora visibility at any latitude.

Enables access to SimBrief flight planning data through Claude Desktop with secure Google OAuth authentication. Provides tools to retrieve flight plans, dispatch briefings, NOTAMs, weather data, and other aviation planning information.

An MCP-powered AI platform for satellite mission control, enabling space weather analysis, orbital collision detection, satellite health monitoring, and secure command validation through natural language.

Enables MCP clients to search GitHub repositories and users, retrieve weather data and forecasts, and access NASA astronomy and image data through modular MCP tools.

Provides real-time NASA data (APOD, asteroids, Mars rover photos, natural events, space weather) via natural language queries or menu-based interaction, requiring no API key for basic use.

SWMF MCP Server enables AI agents to work with the Space Weather Modeling Framework (SWMF) through tools for context, evidence, artifact inspection, and comparison. It includes task-specific skills for explanation, configuration, building, running, debugging, and analysis.