"Satellite" matching MCP servers:

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

Enables AI agents to interact with the Planet API for satellite imagery ordering, subscriptions, and data management through natural language.

Enables MCP clients to access Google Earth Engine's satellite imagery and geospatial analysis capabilities. Provides tools for vegetation analysis, crop classification, disaster monitoring, and interactive map creation using petabytes of satellite data.

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 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.

An MCP server that lets an LLM operate an amateur radio shack: query live APRS traffic, predict satellite passes, schedule SDR captures, and monitor FT8/WSPR band activity.

Enables MCP-capable assistants to query a read-only, bilingual (Arabic/English) evidence layer of nine tools covering 2018–2025 satellite-derived land-cover change in Beirut and Mount Lebanon, with answers grounded in a stratified 200-block reference sample and a completed blind human audit. Supports place summaries, per-block evidence, uncertainty and audit-status reporting, area estimates, spatial and attribute queries, and comparison of results across places and methods.

Enables geospatial operations such as geocoding, routing, map visualization, satellite imagery, and weather data through a unified MCP interface, making Earth data accessible to non-programmers.