mcp · Global

Axion-MCP

?? Advanced Earth Engine MCP Server - Enterprise-grade geospatial analysis platform for Claude Desktop

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Data offered docs-verified: Satellite imagery datasets: Landsat, Sentinel, MODIS and more (30+ datasets) · Vegetation indices: NDVI, NDWI, EVI, SAVI, NBR · Cloud-free composites · Time series analysis · Terrain analysis · Water body analysis
Coverage llm-inferred: Global
Formats llm-inferred: MCP stdio (inferred from Claude Desktop command/args config) · SSE bridge to Next.js API (per architecture diagram)
Access docs-verified: Requires a Google Cloud account with Earth Engine access and a service account key (GOOGLE_APPLICATION_CREDENTIALS); runs as a local install; licence MIT

Use cases llm-inferred: Flood risk screening using terrain-based flood modelling from satellite data · Vegetation index (NDVI) baseline for habitat context and change over a site · Water body monitoring time series for water quality change near a site
Audience llm-inferred: GIS analysts · hydrologists · flood consultants · ecologists · environmental consultants

Constraints llm-inferred: Requires Google Earth Engine access and a service account key set via GOOGLE_APPLICATION_CREDENTIALS · Requires Node.js 18+, a local clone, npm build and server start before use · Setup is documented only for Claude Desktop on Windows (%APPDATA% config path) · Export formats are not documented; exports go to Google Drive, Cloud Storage or Earth Engine Assets · No temporal or spatial resolution or time span is stated; the global claim comes from entry metadata, not DOCS · UK-specific sources (e.g. EA gauges, OS data, UK DEM) are not documented; UK suitability needs testing · Flood, wildfire and water quality models are described only at feature-list level; no validation or accuracy is documented · DOCS reference ./docs/api.md, which was not provided, so tool parameters are undocumented

Auto-extracted, unverified fields: tools, install, auth. Check upstream documentation.

Tools/install/auth auto-extracted from README; quality score heuristic (stars, recency, tool count, licence).

Metadata observed 15/10/2026 · research sweep: github-search