qiniu-mcp-server

A Model Control Protocol (MCP) server built on Qiniu Cloud products, enabling AI model clients to access Qiniu Cloud Storage and media processing services.

• Source: GitHub Repository
• Category: cloud-devops-mcp-servers
• Tags: mcp, qiniu, cloud, storage, media-processing

Features

Storage

• Retrieve list of Buckets.
• List files within a Bucket.
• Upload local files or file content.
• Read file content from storage.
• Generate and retrieve file download links.

Intelligent Media Processing

• Image resizing.
• Apply rounded corners to images.

CDN Operations

• Refresh CDN files by URL.
• Pre-fetch CDN files by URL.

Integration & Configuration

• Built on Python 3.12+; uses the uv package manager for environment and dependency management.
• Supports configuration via environment variables for Qiniu access credentials, region, endpoint, and Bucket list (up to 20 Buckets recommended).
• Can be integrated with the Cline plugin in VSCode for interactive usage with AI models.
• Flexible server start modes: stdio (default), SSE (for web applications), with customizable port.

Extensibility & Development

• Modular codebase allows extension by adding new business logic packages under the core directory.
• Supports custom resource and tool registration via Python modules.
• Provides example configurations and environment setup for local development.
• Includes instructions for testing with Model Control Protocol Inspector (requires Node.js v22.4.0).

Installation & Usage

• Requires Python 3.12+ and the uv package manager.
• Clone the repository, create a virtual environment, install dependencies, and configure environment variables as described in the README.
• Example configuration for integration with Cline and AI chat clients is provided.

Licensing

• Licensed under the MIT License.

Pricing

• No pricing information is provided; the project is open source under MIT license.