"Satellite" matching MCP servers:

Full-spectrum GEOINT server with 171 tools covering satellite imagery, aircraft tracking, maritime surveillance, military intelligence, conflict monitoring, environmental analysis, critical infrastructure, sanctions compliance, and cyber-geo intelligence from open-source data.

Finds the clearest Sentinel-2, Landsat, Sentinel-1, or NAIP scene for any location and time, ranked by area coverage, cloud cover, and date, with previews and band download links.

Tracks real satellites and screens close approaches using live TLE data and SGP4 propagation, exposing tools for fetching positions and conjunction checks.

Provides access to satellite tracking data from N2YO, allowing users to query satellite positions, predict passes, and access TLE data through natural language requests.

A Model Context Protocol (MCP) server for searching STAC catalogs, downloading satellite bands, and creating composites via 21 tools.

An MCP server that lets AI agents search, save, preview, download, and cart satellite scenes from ISRO's Bhoonidhi portal in natural language, with search and saved queries requiring no login and downloads/cart operations using an out-of-band session.

Enables interactive access to JAXA's satellite observation data (precipitation, land surface temperature, NDVI, elevation, soil moisture) via Claude, providing tools for point time series, dataset information, and area image generation.

Enables AI agents to autonomously discover, stream, and compute satellite analytics from free government Earth observation archives. Provides tools for STAC search, spectral indices, elevation profiles, SAR water detection, and sandboxed geospatial scripting.

A Python MCP server that provides unified access to satellite and geospatial data through natural language queries, with automatic place name geocoding and support for raster, vector, and Zarr formats.

Enables MCP clients to retrieve live worldwide launch schedules with countdowns, Starship status, satellite and ISS pass predictions for any location, and visible Starlink train forecasts, with cited source URLs and fetch timestamps.

Enables AI assistants to search and access geospatial datasets through STAC (SpatioTemporal Asset Catalog) APIs. Supports querying satellite imagery, weather data, and other geospatial assets with spatial, temporal, and attribute filters.

Enables access to NASA space data and images through Claude Desktop, providing features like astronomy picture of the day, Mars rover photos, near-Earth object information, NASA image search, and Earth satellite imagery.

A Model Context Protocol server that provides a standardized interface for AI models to interact with NASA's vast array of data sources including APOD, Mars Rover photos, satellite imagery, and space weather data.

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 discovery, analysis, and explanation of open satellite data through MCP, with support for STAC catalogs and NASA GIBS.

Enables retrieval of satellite vegetation statistics (NDVI) and searches of Sentinel-2 scene catalogs, returning results as JSON.

Provides satellite tracking data using Two-Line Element sets from a free public API. Enables querying satellite orbits and positions through natural language or direct tool calls.

Enables users to retrieve satellite-measured ground motion data for any US address, including subsidence/uplift velocity, coverage checks, and historical time series.

Enables querying current and historical relative water levels for 518 lakes, seas, and reservoirs worldwide from satellite radar altimetry, with search by name, country, or continent.

Provides satellite orbital elements (TLE / GP data) for any tracked object via MCP.