# io.github.ExpertVagabond/mega

> Use this tool when you need to manage and interact with MEGA cloud storage from the command line, solving problems such as remote file access and synchronization. It provides a CLI interface to input commands and receive output, allowing users to upload, download, and manage files. Ideal for use cases requiring automated or scripted cloud storage interactions.

Canonical page: https://skillsregistry.net/skills/io-github-expertvagabond-mega  
JSON: https://api.skillsregistry.net/v1/skills/io-github-expertvagabond-mega

## Description

MEGA cloud storage CLI MCP server

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.ExpertVagabond%2Fmega)
- **Repository:** <https://github.com/ExpertVagabond/mega-mcp-server.git>

## 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": "io-github-expertvagabond-mega"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-expertvagabond-mega` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-expertvagabond-mega/pull`

---
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