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3DPACK.ING — Load Planning

R2· OAuth, once

Load planning for containers, trucks & pallets in Claude & ChatGPT, with a 3D load plan in the chat.

v0.4.0 · active · repository · website · descriptor JSON · versions

An agent can connect after a one-time OAuth consent by a human.Remote endpoint behind OAuth 2. Tokens stay with the agent; the registry only exposes the authorization metadata.
Quality86good
Trust92of 100
Uptime, 30 days100%
Latency p50541 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "load-planning": {
      "type": "http",
      "url": "https://3dpack.ing/mcp?server=load-planning"
    }
  }
}
claude mcp add --transport http load-planning https://3dpack.ing/mcp?server=load-planning
[mcp_servers.load-planning]
url = "https://3dpack.ing/mcp?server=load-planning"
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "load-planning": {
      "type": "remote",
      "url": "https://3dpack.ing/mcp?server=load-planning",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "load-planning": {
      "type": "http",
      "url": "https://3dpack.ing/mcp?server=load-planning"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=load-planning&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vM2RwYWNrLmluZy9tY3A%2Fc2VydmVyPWxvYWQtcGxhbm5pbmcifQ%3D%3D"
}
{
  "servers": {
    "load-planning": {
      "type": "http",
      "url": "https://3dpack.ing/mcp?server=load-planning"
    }
  }
}
{
  "mcpServers": {
    "load-planning": {
      "httpUrl": "https://3dpack.ing/mcp?server=load-planning"
    }
  }
}
extensions:
  "load-planning":
    enabled: true
    name: "load-planning"
    type: streamable_http
    uri: "https://3dpack.ing/mcp?server=load-planning"
    timeout: 300

Quality 86 / 100good

protocoln/a · weight 25
  • n/a
    protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)
authorization100 · weight 15
  • pass
    auth.prmProtected Resource Metadata (RFC 9728) published
  • pass
    auth.as_metadataauthorization server metadata reachable
  • pass
    auth.cimdClient ID Metadata Documents supported
  • n/a
    auth.secret_in_urlno templated URL
tool hygiene71 · weight 30
  • pass
    tools.descriptionsevery tool has a description
  • pass
    tools.description_lengthdescriptions are concise
  • pass
    tools.schemasevery tool has an object input schema
  • fail
    tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
  • fail
    tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: pack_shipment (readOnlyHint, destructiveHint, idempotentHint, openWorldHint)
  • pass
    tools.token_costabout 506 tokens to load every tool
  • pass
    tools.api_dumptools are not a one-to-one API dump
stability100 · weight 15
  • pass
    stability.changesno tool changes in 30 days
  • pass
    stability.rug_pullno tool changed its meaning under the same name
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

1 tools, about 506 tokens to load them all · tool set 969cf8f69223 · checked 2026-10-19 11:27 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 92 / 100

duplicate-repo
provenance85
liveness100
freshness100
hygiene80

+repository +dns-namespace +website +reachable +uptime-100% +updated-24d-ago -duplicate-repo(4 names)

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://3dpack.ing/mcp?server=load-planning streamable-httpoauth2 AS: https://3dpack.ingyes100%541 ms–2026-10-19

Tools (1)

pack_shipmentWork out how a shipment fits into shipping containers, trucks or pallets, using a real 3D bin-packing solver. Describe the cargo in plain English -- quantities, dimensions, weights, and any constraints such as fragile, non-tiltable, max stack height or a preferred container type -- and get back which containers are needed, how full each one is, anything that did not fit, and a link to an interactive 3D load plan. Use this instead of estimating from volume. Volume arithmetic ignores stacking rules, orientation and weight limits, and overstates what fits by a wide margin on real cargo. For cargo that must not overhang -- drums, glass, anything that must stay level -- set `stability`. It is the one constraint the prompt cannot express, because it governs how the solver stacks rather than what is being shipped.

Schemas: list_tools.

Also listed as

3 other active names share this repository: ing.3dpack/bin-packing, ing.3dpack/container-loading, ing.3dpack/truck-load

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More from ing.3dpack

Official server.json
{
  "name": "ing.3dpack/load-planning",
  "icons": [
    {
      "src": "https://3dpack.ing/assets/icons/mark-512.png",
      "sizes": [
        "512x512"
      ],
      "mimeType": "image/png"
    },
    {
      "src": "https://3dpack.ing/assets/icons/mark.svg",
      "sizes": [
        "any"
      ],
      "mimeType": "image/svg+xml"
    }
  ],
  "title": "3DPACK.ING — Load Planning",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://3dpack.ing/mcp?server=load-planning",
      "type": "streamable-http"
    }
  ],
  "version": "0.4.0",
  "repository": {
    "url": "https://github.com/OnurGumus/3dpacking-mcp",
    "source": "github"
  },
  "websiteUrl": "https://3dpack.ing",
  "description": "Load planning for containers, trucks & pallets in Claude & ChatGPT, with a 3D load plan in the chat."
}