Skip to main content
Glama
isaaccorley

Planetary Computer MCP Server

by isaaccorley

Related Servers

Alternatives to Planetary Computer MCP Server

No user-submitted related servers found.

    Related Servers

    • F
      license
      B
      quality
      B
      maintenance
      A Python MCP server for discovering and analyzing Sentinel-2 L2A imagery, enabling AI agents to search scenes, check quality, and compute spectral indices like NDVI, NDWI, and NBR from remote COG windows.
      4
      -
    • A
      license
      Not graded
      quality
      A
      maintenance
      An MCP server that connects AI agents to cloud-native geospatial data via STAC metadata and DuckDB with H3 spatial indexing, enabling zero-configuration SQL queries on terabyte-scale datasets over S3.
      23
      BSD 3-Clause
    • A
      license
      Not graded
      quality
      C
      maintenance
      A Python-based MCP server that provides access to Ordnance Survey APIs, allowing querying of geographic data through a standardized protocol with features like collection management, feature search, and spatial filtering.
      2
      MIT
    • A
      license
      C
      quality
      D
      maintenance
      MCP server for the Geopera geospatial data platform that enables AI agents to discover imagery, place and manage orders, and run analytics using the same API as other Geopera clients.
      100
      MIT

    TDQS

    A3.5/5.0

    Scored across 2 tools

    Disambiguation5/5

    Both tools have clearly distinct purposes: one for raster satellite data with natural language querying, and one for vector geometries with a collection ID. No overlap in functionality.

    Naming Consistency5/5

    Both tools follow a consistent download_<type>_tool pattern using snake_case, making the naming predictable and clear.

    Tool Count2/5

    With only 2 tools, the server feels very thin for the broad scope of Microsoft Planetary Computer. Even a minimal interface would benefit from additional tools like listing collections or searching items.

    Completeness2/5

    The server covers raster and vector data downloads but lacks critical supporting operations such as querying available collections, filtering items, or exploring data metadata. Users must know collection IDs or rely on natural language detection without discovery tools.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues