# Adopte un Conteneur

> Use this tool when you need to optimize French maritime container logistics by calculating real-time delivery costs or retrieving detailed container specifications. It provides economical depot selection and container dimension data, including interior and exterior measurements, volumes, weights, and surface areas. The tool is ideal for shipping and logistics operations requiring accurate cost estimates and container information across France.

Canonical page: https://skillsregistry.net/skills/adopteunconteneur  
JSON: https://api.skillsregistry.net/v1/skills/adopteunconteneur

## Description

Adopte un Conteneur's MCP server provides two tools for French maritime container logistics: calculating real-time delivery costs by selecting the most economical depot across France with both pre-tax and tax-inclusive prices, and retrieving detailed interior and exterior dimensions, volumes, weights, and surface areas for standard container types. The endpoint requires no authentication.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/adopteunconteneur)
- **Repository:** <https://github.com/adopteunconteneur/mcp-container-delivery>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "adopteunconteneur"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adopteunconteneur` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adopteunconteneur/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt