"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.

Seven keyless Earth-data tools for AI agents: live USGS earthquakes with time-window and magnitude filters, ISS position, current weather, Base gas price, and live-data postcards. One optional paid tool behind a fail-closed spend cap.

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.

Enables MCP clients to look up tracked satellites and debris, analyze debris fields and constellations, find predicted close approaches, and retrieve NOAA space-weather scales, alerts, and plain-English impacts.

Read-only MCP server that enables astronomy session planning against the Telescopius REST API, covering target search and info, twilight and rise/set times, nightly weather forecasts, event calendars, news, observing lists and equipment. It can also open the Telescope Simulator in a headed browser to capture framing screenshots for a given rig or mosaic layout.

Enables retrieval of CelesTrak satellite pass predictions, NOAA space weather Kp observations and alerts, and conversion of ICAO NOTAM Q-line notices into GeoJSON bounding envelopes through MCP tools.

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.

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 agents to query live NOAA/USGS space-weather and earthquake feeds, compute deterministic storm-risk assessments with hash-chained integrity seals, and verify data authenticity via JSON-RPC tools.

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.

Enables AI agents to query live space weather, aurora forecasts, earthquake feeds, and the Helios Oracle over HTTPS with no API keys.

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.