"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.

Enables satellite orbital mechanics calculations including visibility predictions, access window analysis, and TLE generation from natural language descriptions. Supports 200+ world cities and multiple orbit types (LEO, MEO, GEO, SSO, Molniya, Polar).

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.

Satellite Tracking MCP Server

Provides access to real-time satellite tracking data using the N2YO API, enabling users to get satellite positions, predict visible passes, search satellites by name or category, and retrieve TLE orbital data.

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

Enables AI agents to query hyperlocal urban heat data for US locations, including street-level heatmaps, environmental parameters, satellite/street-view segmentation, and heat intelligence reports.

Enables AI coding agents to score any geographic coordinate for ecological and agricultural land suitability by analyzing satellite and climate data, returning a weighted score with per-metric breakdowns for vegetation, water, terrain, and more.

Provides free EagleView-style satellite roof measurements and modular Xactimate-style estimating from Google Solar API data, enabling contractors to generate reports and estimates from any address.

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 lets an AI agent run satellite land due-diligence through LandBenchmark. Its analyze_parcel tool takes a lat/lon or GeoJSON geometry and returns a green / caution / walk-away verdict with cited signals — flooding, slope, wildfire, road access, and more — for any parcel.

Enables AI agents to search, price, order, and monitor satellite imagery from the SkyFi platform through conversational tool calls.

An MCP server for live, geolocated world-event intelligence: query event signals (coordinates, severity, sources), find hotspots, search satellite imagery (Sentinel-1/2, etc), read the AI Daily World Brief, and ask an OSINT/GEOINT analyst. Local stdio proxy to the hosted Off-Nadir Delta server; free tier, token-metered.

Enables AI agents to autonomously discover, stream, and compute satellite analytics from free government Earth-observation catalogs such as Sentinel-2, Landsat, and Copernicus DEM, with zero API keys or configuration. It supports place-name geocoding, STAC scene search, cloud-native COG streaming for spectral indices, elevation profiles, SAR flood detection, and sandboxed custom geospatial scripts.

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.

Provides tools to search, download, and manage satellite imagery from all Copernicus Sentinel missions via the Copernicus Data Space ecosystem. It enables advanced geospatial queries, temporal coverage analysis, and automated data management for Earth observation tasks.

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