Satellite Passes
0
Provides satellite pass information near a specified location, enabling Large Language Models (LLMs) to perform precise astronomical searches.
About
This Model Context Protocol (MCP) server provides comprehensive satellite pass information for specific observer locations. Designed to seamlessly integrate with Large Language Models (LLMs), it allows AI agents to query and retrieve precise data on satellite visibility, including various parameters such as latitude, longitude, desired satellite, time range, and minimum culmination altitude. It abstracts the complexity of orbital mechanics, empowering LLMs to deliver accurate and detailed astronomical insights based on user input.
Key Features
- Integrates as a tool for Large Language Models (LLMs) via Model Context Protocol (MCP).
- 0 GitHub stars
- Calculates satellite passes for a given observer location.
- Supports tracking of major orbital objects (e.g., ISS, CSS, Crew Dragon).
- Allows customization of search parameters like time range, minimum culmination altitude, and timezone.
- Supports custom Two-Line Element (TLE) file URLs for satellite data.
Use Cases
- Providing accurate astronomical data for educational platforms or personal observation planning through AI agents.
- Enabling LLMs to answer user queries about satellite visibility and pass times.
- Automating the retrieval of satellite pass schedules for AI-driven applications.
Sponsored