# Qiniu Cloud Storage

> Use this tool when you need to manage cloud storage assets or perform on-the-fly image transformations within conversational AI workflows. It provides a bridge to Qiniu Cloud's storage and media processing services, allowing for object storage management, CDN operations, and image processing capabilities through a Model Context Protocol interface. The tool accepts Qiniu access keys as input and outputs managed files, processed images, and metadata, making it ideal for applications that require seamless cloud storage integration and media processing.

Canonical page: https://skillsregistry.net/skills/qiniu-cloud-storage  
JSON: https://api.skillsregistry.net/v1/skills/qiniu-cloud-storage

## Description

Qiniu MCP Server provides a bridge to Qiniu Cloud's storage and media processing services through a Model Context Protocol interface. This Python implementation exposes tools for managing object storage (listing buckets, retrieving files), CDN operations (prefetching, refreshing), and image processing capabilities (scaling, rounding corners, retrieving metadata). The server supports both stdio and SSE transport methods, authenticates via Qiniu access keys configured through environment variables, and includes resource providers that allow AI assistants to browse and access files stored in Qiniu buckets. It's particularly useful for applications that need to manage cloud storage assets or perform on-the-fly image transformations within conversational AI workflows.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/qiniu-cloud-storage)
- **Repository:** <https://github.com/qiniu/qiniu-mcp-server>

## 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": "qiniu-cloud-storage"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/qiniu-cloud-storage` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/qiniu-cloud-storage/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