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Alternatives to hansatic-mcp

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    • A
      license
      A
      quality
      B
      maintenance
      Enables AI assistants to plan container and truck loads from plain-English shipment descriptions, returning fitted containers, utilization, non-fitting items, and interactive 3D load plans.
      1
      49 npm
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Lets AI agents pack shipping containers using the Kubova calculator, with tools for container loading and API key verification.
      4
      15 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Plan optimal container & truck loads: 3D layouts, right-size the container mix, and check utilization, centre of gravity, crush protection and securing across 200+ equipment types.
      11 npm
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables optimal freight-mode selection (air, sea-LCL, full container) by solving 3D bin-packing, cost optimization, and delivery-risk analysis behind two tools: solve for deterministic planning and explain for hallucination-proof natural-language narration of results.
      2
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to track packages, rate and create shipments, manage pickups and customs documentation, and perform international shipping logistics checks through natural language.
      MIT
    • A
      license
      Not graded
      quality
      F
      maintenance
      Enables AI agents to manage global shipping operations, including rate comparison, shipment creation, label purchasing, tracking, pickup scheduling, address validation, billing, and analytics, via natural language.
      57 npm
      MIT

    TDQS

    A4.5/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: list_vehicles retrieves vehicle options, pack_cargo submits an optimization job, and check_job monitors that job. There is no overlap or ambiguity.

    Naming Consistency5/5

    All three tools follow a consistent verb_noun pattern with snake_case: check_job, list_vehicles, pack_cargo. The naming is predictable and clear.

    Tool Count5/5

    With only 3 tools, the scope is narrow but well-defined. Each tool serves an essential step in the cargo packing workflow without unnecessary extras.

    Completeness5/5

    The domain of cargo packing is fully covered: listing available vehicles, computing an optimal pack, and checking on an async job. No obvious gaps are present.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues