How do I connect an AI agent to Kubova — 3D Container Loading?

Use the MCP streamable HTTP endpoint https://kubova.com/mcp.

Faceabot

Catalog › com.kubova/container-loading

Is Kubova — 3D Container Loading reliable?

Being measured Measurement in progress: 1 check(s) so far. A verdict needs at least 3 checks.

En français : Mesure en cours. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Pack cargo into containers & onto pallets; a verifiable 3D loading plan. Free tier + REST API.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "container-loading": {
      "url": "https://kubova.com/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"com.kubova/container-loading"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-06 14:56 UTC	✅ ok	❌ auth_required	7964 ms

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

Publisher of Kubova — 3D Container Loading?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/com.kubova/container-loading.svg)](https://faceabot.com/tools/com.kubova/container-loading)

Data in JSON: /api/catalog?id=com.kubova/container-loading · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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