Exposes the astrodynamics capabilities of the Brahe library enabling language models to perform space situational awareness and astrodynamics calculations.
Enables AI agents to query Earth observation data, satellite imagery, active fires, and weather via natural language, returning interactive maps and briefs.
An MCP server that equips LLM clients with authoritative astrodynamics tools including TLE/SGP4 propagation, Lambert solving, ground-station access, time-scale and coordinate-frame conversions, and more.
Enables autonomous satellite agents to communicate and coordinate for orbital operations such as collision avoidance, maneuver planning, and mission execution.
Enables AI agents to access real-time NOAA space weather data, including alerts, solar wind, K-index, aurora forecast, and GOES X-ray flux, through natural language queries.