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Related Servers

Alternatives to eo-mcp

No user-submitted related servers found.

    Related Servers

    • 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
      12
      Apache 2.0
    • A
      license
      B
      quality
      B
      maintenance
      Enables 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.
      11
      18
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Production-ready satellite imagery analysis server that enables natural language queries for Earth observation data, including land cover classification, vegetation monitoring, water detection, change detection, and automated environmental reporting.
      MIT
    • A
      license
      B
      quality
      D
      maintenance
      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.
      13
      7
      LGPL 3.0

    TDQS

    A3.6/5.0

    Scored across 29 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes, but there is overlap between the bundled assess_location_hazard and individual hazard tools like simulate_sea_level_rise or detect_active_wildfires, which could cause misselection if an agent doesn't read descriptions carefully. Detailed descriptions mitigate ambiguity, so the set is mostly distinct.

    Naming Consistency3/5

    Tool names mix verb-first patterns (detect_active_wildfires, analyze_coastal_erosion) with noun-first patterns (stac_search, query_nasa_opera) and some phrasal names (assess_location_hazard, run_pipeline). While readable, the inconsistency makes predicting tool names from purpose harder.

    Tool Count2/5

    With 29 tools, the server exceeds the typical well-scoped range and feels heavy, even for a broad EO domain. Many hazard-specific tools could be consolidated under the bundled assess_location_hazard, reducing the surface area.

    Completeness4/5

    The tool set covers a wide range of Earth observation analyses, including multiple hazard types, spectral indices, terrain, exports, and custom script execution, with few obvious dead ends. Minor gaps like soil moisture or land cover classification exist, but the surface is comprehensive for its stated purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues