"Google Earth Engine" matching MCP servers:

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 real-time space data including ISS and Tiangong tracking, crew in space, rocket launches, space news, Mars missions, a star catalog, near-Earth asteroids, and satellites. All 18 tools are read-only.

Enables AI agents to query NASA/JPL data on asteroids and comets, including small-body orbits and physical parameters, near-Earth close approaches, Sentry impact-risk assessments, and recent atmospheric fireballs. All four tools are keyless and work over a hosted gateway endpoint or a local stdio server.

Enables an AI assistant to poll a queue of alerts about watched spacecraft contacting Earth via NASA's Deep Space Network and acknowledge them once reported. It also lets users manage a watchlist, mute craft, and inspect feed freshness, all through pull-based MCP tools.

A custom MCP server that connects Kiro to live space data from NASA APIs and real-time ISS tracking, enabling queries about astronauts, ISS location, astronomy pictures, and near-Earth asteroids.

Provides access to NASA's open APIs including astronomy imagery, Mars rover photos, asteroid tracking, Earth observations, and media library through natural language interaction.

MCP server that wraps three NASA public APIs (Astronomy Picture of the Day, Mars rover photos, and near-Earth objects) as tools for AI assistants.

Enables AI clients to search a bilingual glossary of Earth-Moon space terms by keyword and retrieve individual entries with full definitions, references, and page links through two read-only MCP tools. It covers 720 terms across 8 categories.

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.

Model Context Protocol server for pyCycle/OpenMDAO engine-cycle workflows, enabling lifecycle management, variable inspection, execution, sweeps, and integration with CPACS aircraft analysis pipelines.

Viznoir empowers AI agents to directly analyze and visualize complex 3D scientific and engineering data in cinematic resolution using a fully headless VTK engine. It enables LLMs to seamlessly execute advanced physical analysis, 3D rendering, and generate publication-ready animations purely through natural language commands.

Enables any MCP client to plan and run verifiable analysis of engine hot-fire and bench test data through tools that open runs, segment phases, check sensor health, redlines, valve response and oscillations, compare simulations, verify every reported number against an evidence ledger, and write HTML reports. All findings stay traceable and reproducible from deterministic tool calls rather than raw samples.

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 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.

Provides the JSBSim flight-dynamics engine as an MCP service, enabling AI agents to control and simulate aircraft in real-time through natural language.