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Satellite MCP Server

Satellite pass prediction from plain language: describe an orbit in words or paste a TLE, name a city, and get the visibility windows with lighting conditions.

by BuildASpacePro ↗Physical Sciences & Scientific ComputingCommunity

LABSCO SUMMARY

You can skip the TLE if you know what orbit you want.

Most orbital tooling assumes you already have a Two-Line Element in hand. The useful move here is the other direction: describe the orbit you are designing, get elements generated, and see passes over a named city in the same conversation — with lighting conditions attached, which is what actually decides whether a pass is usable.

What it is

A Python MCP server for orbital mechanics. It converts orbital descriptions into Two-Line Elements, computes access windows between a satellite and a ground location, and reports ground and satellite lighting — civil, nautical and astronomical twilight — for each pass.

What you get

  • Access windows — calculate_access_windows, calculate_access_windows_by_city, and calculate_bulk_access_windows for many satellites and locations from CSV
  • Orbits from text — parse_orbital_elements reads a phrase like "satellite at 700km in SSO", and calculate_access_windows_from_orbital_elements and calculate_access_windows_from_orbital_elements_by_city go straight from that text to passes
  • Reference lookups — search_cities against a built-in database of 200+ cities, validate_tle, and get_orbit_types
  • Support for 6 orbit types: LEO, MEO, GEO, SSO, Molniya and Polar
  • Positions computed with Skyfield

Requirements

Docker is the documented path — make docker-build, then run the image with -i from your client config. Locally it needs Python and the dependencies installed by make install, and runs as python -m src.mcp_server. The server speaks JSON-RPC over stdio, so the client runs on the same machine.

Setup effort

One command — docker run --rm -i satellite-mcp-server:latest

See installation options