Give Your AI Agents Direct Access to Qiniu Cloud Storage and CDN

Stop context-switching between AI chats and your cloud dashboard. This MCP server connects your AI agents directly to Qiniu Cloud's storage, CDN, and multimedia services — letting you manage files, process images, and handle CDN operations through natural conversation.

The File Management Bottleneck

You're building with AI agents, but they're blind to your actual infrastructure. Want to analyze uploaded files? You're manually downloading and re-uploading. Need to resize images for different devices? Back to the web console. CDN cache needs refreshing? Another browser tab.

The Qiniu MCP Server eliminates these workflow breaks by giving your AI direct, contextual access to your cloud resources.

Real Productivity Gains

File Operations That Just Work Your AI can now list bucket contents, read file data, and generate download links without you lifting a finger. Ask "What's in my media bucket?" and get immediate results instead of switching to the dashboard.

On-Demand Image Processing
Need thumbnails for a gallery? Just tell your AI "resize these images to 200px width with rounded corners." The multimedia processing happens instantly through the same conversation.

Intelligent CDN Management Your AI can refresh CDN caches and prefetch content based on usage patterns or deployment workflows. No more manual cache management across multiple environments.

Where This Shines

Content Management Workflows

• Automatically process and organize uploaded media based on content analysis
• Generate responsive image variants during content creation
• Batch operations on files matching specific criteria

Development & Deployment

• Deploy assets and immediately refresh CDN caches
• Analyze log files stored in buckets without downloading
• Coordinate multimedia processing with application deployments

Data Analysis & Reporting

• Read and analyze CSV/JSON files directly from storage
• Generate reports combining file metadata with content analysis
• Monitor storage usage patterns through AI insights

Setup in Under 5 Minutes

The server works immediately with Cline, Cursor, and Claude Desktop. No SDK integration required — just point your MCP client at the server.

Quick Start:

# Install and run (no local setup needed)
uvx qiniu-mcp-server

MCP Configuration:

{
  "mcpServers": {
    "qiniu": {
      "command": "uvx",
      "args": ["qiniu-mcp-server"],
      "env": {
        "QINIU_ACCESS_KEY": "your_key",
        "QINIU_SECRET_KEY": "your_secret", 
        "QINIU_REGION_NAME": "your_region",
        "QINIU_ENDPOINT_URL": "https://s3.your_region.qiniucs.com",
        "QINIU_BUCKETS": "bucket1,bucket2"
      }
    }
  }
}

Natural Language Cloud Operations

Instead of API calls and console clicks, you get conversational cloud management:

• "Show me all files uploaded today in the media bucket"
• "Create 300px thumbnails for all product images"
• "Refresh the CDN cache for our homepage assets"
• "Read the error logs from yesterday and summarize the issues"

The server handles the Qiniu API complexity while your AI provides the intelligence layer on top of your infrastructure.

Your cloud resources become as accessible as having a conversation — which changes how you think about managing infrastructure entirely.