"Planet" matching MCP servers:

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

Provides MCP clients with direct, metered access to full-planet OpenStreetMap data through the hosted Overpass API, offering tools for raw Overpass QL queries, nearby and bounding-box searches, feature counting, and usage checks.

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.

A self-contained MCP server that gives AI agents the ability to calculate high-precision astronomical data. It provides tropical zodiac coordinates, planetary speeds, retrograde detection, and house cusps using the trusted Swiss Ephemeris engine. 100%

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.

Enables deploying an Earth Engine MCP server in Docker, integrating with Claude Desktop to perform geospatial analysis using 11 Earth Engine tools for tasks like wildfire risk, flood risk, and agricultural monitoring.