# CloudSee Drive MCP Server

> CloudSee Drive MCP Server — webapper-services-cloudsee-drive-mcp. Use this tool when you need to manage files on CloudSee Drive (Amazon S3) using natural language commands, solving problems such as tedious file browsing and organization. It enables users to perform various file operations, including uploading, downloading, and sharing, with inputs such as voice or text commands and outputs including file search results and sharing links. This tool is ideal for streamlining cloud storage management tasks and reducing errors with confirmation prompts for destructive actions.

Canonical page: https://skillsregistry.net/skills/webapper-services-cloudsee-drive-mcp  
JSON: https://api.skillsregistry.net/v1/skills/webapper-services-cloudsee-drive-mcp

## Description

Enables natural language management of files on CloudSee Drive (Amazon S3) including browsing, searching, uploading, downloading, sharing, and organizing, with confirmation for destructive actions.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/di1spdgcjq)
- **Repository:** <https://github.com/webapper-services/cloudsee-drive-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": "webapper-services-cloudsee-drive-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/webapper-services-cloudsee-drive-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/webapper-services-cloudsee-drive-mcp/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