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Related Servers

Alternatives to cart-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to access Italian soil consumption data via an MCP server, including glossary, canonical sources, and skills for querying municipal and national statistics.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Exposes real-time soil sensor metrics as MCP Resources and irrigation valve controls as MCP Tools, enabling AI-driven agronomic decisions with built-in safety guardrails.
      Apache 2.0
    • A
      license
      A
      quality
      C
      maintenance
      Exposes Mireye Earth's geospatial data API as MCP tools (mireye_ask and mireye_fetch) for querying location-based information like elevation, flood zones, and wildfire risk for US places.
      2
      101 PyPI
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to perform geospatial analysis, spatial data processing, vector and raster operations, coordinate transformations, spatial statistics, mapping, and access to climate, satellite, and other geospatial data through MCP-compatible clients.
      MIT

    TDQS

    A3.8/5.0

    Scored across 10 tools

    Disambiguation4/5

    The tools are largely distinct, but rate_aoi and rate_aois are essentially the same operation for one vs. multiple areas, and get_concern_details includes rating domain information that overlaps with get_rating_domain. Still, the descriptions make the intended use clear.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with clear prefixes (list_, get_, rate_, validate_). Pluralization and compound nouns are used predictably.

    Tool Count5/5

    With 10 tools, the set is well-scoped for the CART/AOI analysis domain. Each tool serves a clear purpose without redundancy.

    Completeness4/5

    The server covers listing concerns, retrieving details and ratings, generating soil and risk maps, and validating the pipeline. A minor gap is that risk maps only support cointerp-backed concerns, but rate_aoi covers custom concerns, so the overall workflow is complete.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues