# Marlo

> Use this tool when you need to interact with the Marlo MCP server, making authenticated requests to retrieve vessel data or access the MCP API. It provides an asynchronous Python client for efficient communication with the server. Ideal for applications requiring programmatic access to MCP resources, such as data retrieval or automation tasks.

Canonical page: https://skillsregistry.net/skills/core-marlo  
JSON: https://api.skillsregistry.net/v1/skills/core-marlo

## Description

A Python client for interacting with the Marlo MCP (Model Context Protocol) server. This package provides an async client for making authenticated requests to the MCP API and includes example tools for vessel data retrieval.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-19

## Source

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

## 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": "core-marlo"
    }
  }
}
```

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