"Hearth" matching MCP servers:

Enables AI agents to query verifiable physical-world ground truth for any point on Earth — water availability, seismic and space-weather hazard, ground stability, and resource indications — with every answer backed by a Bitcoin-anchored provenance record that can be independently verified. It also lets agents check whether an Earth-science hypothesis has already been tested, list documented nulls and retractions, and run bounded controlled tests that return UNTESTABLE rather than fabricate a result.

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

MCP server for interacting with Google Earth Engine, enabling geospatial analysis such as dataset visualization, statistics computation, and search via AI assistants.

A Model Context Protocol server implementation that provides geospatial analysis tools in Jupyter notebooks, particularly for downloading NASA Earth data granules.

Enables satellite imagery analysis through Google Earth Engine, allowing users to search datasets, calculate vegetation indices like NDVI, filter collections by location and date, and export imagery to cloud storage. Supports major satellite datasets including Sentinel-2, Landsat, and MODIS for applications like agriculture monitoring and deforestation tracking.

Exposes Mireye Earth's geospatial data API as MCP tools (mireye_ask and mireye_fetch) for querying location-based information like elevation, flood zones, and wildfire risk for US places.

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.

Provides natural language access to environmental data including air quality measurements, greenhouse gas emissions, and facility records. It enables users to perform geographic searches, trend analysis, and proximity-based queries using data from sources like OpenAQ and Climate TRACE.