qiniu-mcp-server
Qiniu MCP Server is designed to integrate Qiniu Cloud's storage and multimedia services with AI model clients through the Model Context Protocol. It offers functionalities for storage management, multimedia transformations, and CDN integration, facilitating seamless operations within AI-driven contexts.
What are the prerequisites for setting up the Qiniu MCP Server?
You need Python 3.12 or higher and the 'uv' package manager installed on your system.
How can I integrate the Qiniu MCP Server with Cline?
Install the Cline plugin in VSCode, configure the MCP Server settings with your Qiniu credentials, and connect using the Cline interface.
What multimedia operations are supported by the Qiniu MCP Server?
The server supports image resizing and corner rounding operations.
How do I handle the 'Error: spawn uvx ENOENT' in Claude?
Specify the absolute path of 'uvx' in the command parameter to resolve this error.
Can I test the Qiniu MCP Server locally?
Yes, you can use the Model Control Protocol Inspector for testing or run the server locally using standard input/output or SSE mode.