qiniu/qiniu-mcp-server

Overview

A Model Context Protocol server that exposes Qiniu Cloud storage and media processing services as resources and tools. It lets AI agents read files, store data, and trigger media operations directly through natural language or agent frameworks.

Best for

Best for
Developers building AI agents that need to interact with Qiniu Cloud storage and media services

Use cases

• Uploading and retrieving files from Qiniu Cloud Storage via an AI agent
• Triggering media transcoding or thumbnailing through agent queries
• Enabling agent-driven backups or content management on Qiniu infrastructure

How to use

Install

uv --directory . run qiniu-mcp-server

Tools exposed

• uv

Tested with

Cline, Cursor, Claude Desktop

Example client config

{\n  "mcpServers": {\n    "qiniu": {\n      "command": "uvx",\n      "args": [\n        "qiniu-mcp-server"\n      ],\n      "env": {\n        "QINIU_ACCESS_KEY": "YOUR_ACCESS_KEY",\n        "QINIU_SECRET_KEY": "YOUR_SECRET_KEY",\n        "QINIU_REGION_NAME": "YOUR_REGION_NAME",\n        "QINIU_ENDPOINT_URL": "YOUR_ENDPOINT_URL",\n        "QINIU_BUCKETS": "YOUR_BUCKET_A,YOUR_BUCKET_B"\n     },\n      "disabled": false\n    }\n  }\n}

Notes

A Model Context Protocol server that exposes Qiniu Cloud storage and media processing services as resources and tools. It lets AI agents read files, store data, and trigger media operations directly through natural language or agent frameworks.

36 stars on GitHub. Last updated 2025-11-27. Licensed MIT.

Use cases

• Uploading and retrieving files from Qiniu Cloud Storage via an AI agent
• Triggering media transcoding or thumbnailing through agent queries
• Enabling agent-driven backups or content management on Qiniu infrastructure

Pros

• Provides a standardized MCP interface for a major Chinese cloud provider
• Written in Python, making it easy to extend or embed in Python-based agent stacks
• Targets file and media operations not commonly available in generic MCP servers

Cons

• Low community engagement (36 stars) suggests limited testing and few real-world examples
• Requires a paid Qiniu Cloud account and configuration of access keys
• Documentation is minimal beyond the GitHub README, so troubleshooting may be slow

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.