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Alternatives to open-earth-mcp

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    Related Servers

    • A
      license
      A
      quality
      B
      maintenance
      Enables 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.
      29
      Apache 2.0
    • A
      license
      A
      quality
      A
      maintenance
      Enables 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.
      29
      15
      Apache 2.0
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to access free, open agronomic data for field briefings, spray windows, water balance, pest pressure, and more, using only public data sources without API keys.
      1
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      A standalone Model Context Protocol server that lets AI clients search satellite scenes, fetch weather and climate series, query geographic layers, and compute vegetation indices and gradual-pattern analyses over environmental time series, returning structured results with source and limit metadata. It exposes 16 tools over stdio, streamable HTTP or legacy SSE and runs its own data retrieval and calculations.
      1
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI assistants to query historical weather and climate normals for any land location using 1 km grids from 1961 to today, including daily, monthly, and annual values, trends, and CSV or GeoTIFF downloads.
      11
      GPL 2.0

    TDQS

    A3.9/5.0

    Scored across 6 tools

    Disambiguation4/5

    Each tool has a distinct purpose: scene search, NDVI time series, land cover, elevation, area report, and verification. The only mild overlap is area_summary, which composites land_cover/elevation/NDVI outputs, but its description clearly frames it as a small-box quick report, distinguishing it from the point-based tools.

    Naming Consistency3/5

    All names are snake_case, but conventions are mixed: some are verb_noun (search_imagery, verify) and others are bare nouns (land_cover, elevation, ndvi_timeseries, area_summary). Readable but not a predictable pattern.

    Tool Count5/5

    Six tools is well-scoped for an Earth-observation analysis server; each tool covers a distinct analysis primitive with no filler.

    Completeness4/5

    Core workflows—scene discovery, NDVI, land cover, elevation, summary, and verification—are covered. However, search_imagery returns scene IDs without any tool to fetch actual assets/pixels or download URLs, which is a notable gap for an imagery server, though analysis workflows are not blocked.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues