MCP Server for Planetary Computer Satellite Imagery

An open-source MCP server for querying and downloading satellite imagery via the Planetary Computer STAC API.

Planetary Computer MCP Server for Satellite Imagery

This MCP server provides direct access to the vast satellite imagery catalog available through the Microsoft Planetary Computer's STAC API. Designed for developers, it simplifies the process of discovering, querying, and downloading Earth observation data. By leveraging the power of the Planetary Computer, this tool enables efficient integration of satellite imagery into your AI and geospatial workflows.

What it Does

The Planetary Computer MCP Server acts as an intermediary, translating STAC (SpatioTemporal Asset Catalog) queries into requests that the Planetary Computer's API can understand. It allows you to search for specific satellite imagery based on criteria such as geographic location, time range, and sensor type. Once identified, the server facilitates the download of the relevant imagery assets, making them readily available for further processing and analysis.

Key Features

STAC API Integration: Seamlessly connects to the Planetary Computer's STAC API for comprehensive data discovery.
Querying Capabilities: Enables sophisticated filtering of satellite imagery based on various parameters.
Asset Downloading: Provides a streamlined mechanism for downloading selected imagery assets.
Open-Source: Developed as an open-source project, fostering transparency and community contributions.
MCP Protocol: Adheres to the MCP (Machine Communication Protocol) for standardized data exchange.

Who it's For

This tool is specifically built for AI developers, geospatial engineers, and researchers who require programmatic access to large-scale satellite imagery datasets. If you are building AI models for environmental monitoring, climate change analysis, urban planning, disaster response, or any application that relies on Earth observation data, this MCP server will significantly accelerate your development process. It's ideal for those who need to automate data acquisition and integrate satellite imagery into custom applications and pipelines.