OpenLandMap MCP Server
Related Servers
Alternatives to OpenLandMap MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseBqualityAmaintenanceEnables 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.1118MIT
- AlicenseAqualityBmaintenanceEnables 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.29Apache 2.0
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to retrieve coordinate-based soil property values in real units and World Reference Base classifications, plus discover available properties and their depth intervals.331 npmMIT
- AlicenseAqualityCmaintenanceEnables AI agents to discover and access 800TB+ of public geospatial data from Source Cooperative, with tools for listing organizations, products, files, and fuzzy search.62MIT
- AlicenseAqualityAmaintenanceEnables 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.2912Apache 2.0
- FlicenseNot gradedqualityBmaintenanceTurns the AWS Registry of Open Data and public STAC catalogs into agent-callable tools for dataset search, STAC queries, and NDVI/NDBI/land-cover analysis on Sentinel-2 imagery.-
TDQS
Scored across 27 tools
Most tools have distinct purposes, but there is some overlap that could cause confusion. For example, get_asset_url and get_asset_download_info both provide asset URLs, and list_assets_for_item overlaps with get_all_data_assets and get_visualization_assets in listing assets. The descriptions help differentiate, but an agent might struggle to choose between these similar tools.
Tool names follow a consistent verb_noun pattern throughout, such as build_python_snippet, catalog_info, compare_collections, and find_collections_for_bbox. There are no deviations in naming conventions, making the set predictable and easy to understand.
With 27 tools, the count is too high for the server's purpose of accessing and exploring geospatial data. Many tools could be consolidated (e.g., multiple asset-listing tools) or omitted without losing functionality, leading to potential overwhelm and inefficiency for agents.
The toolset provides comprehensive coverage for discovering, accessing, and analyzing OpenLandMap data, including catalog browsing, spatial/temporal queries, asset retrieval, and code generation. Minor gaps exist, such as no direct data manipulation or advanced analysis tools, but core workflows are well-supported.