Manage Weiyun MCP cloud files with six token-authenticated tools.
npx skills add https://github.com/LiuZixia/weiyun-api-v3 --skill weiyun
Please help me install this Agent Skill. Skill: weiyun Source: https://github.com/LiuZixia/weiyun-api-v3/tree/main/mcp Command: npx skills add https://github.com/LiuZixia/weiyun-api-v3 --skill weiyun
This skill provides a complete programmatic interface to the Weiyun MCP cloud, enabling automated file management across lists, downloads, uploads, and sharing.
Run the one-click upload script to transfer a local file to Weiyun and observe the MCP pre-upload and chunked upload workflow.
High-intent search queries and answers about installing and using this skill.
Automate Weiyun cloud file uploads by enforcing block_sha_list, check_sha, and check_data hashing requirements through a token-authenticated Python script. It handles pre-upload and chunked upload workflows, transferring local files to Weiyun via mcporter execution.
Weiyun MCP provides six tools for cloud file management: weiyun.list, weiyun.download, weiyun.delete, weiyun.upload, weiyun.gen_share_link, and check_skill_update. These tools enable end-to-end scripting, testing, and debugging of Weiyun workflows.
Yes, you can use Python requests to list and download Weiyun MCP files. The token-authenticated toolset relies on included Python scripts and mcporter for execution, enabling scripted cloud file operations across list and download actions.
Generate a Weiyun share link programmatically by calling the weiyun.gen_share_link MCP tool after uploading files. The token-authenticated toolset executes this through Python scripts and mcporter, enabling automated sharing workflows.
Weiyun MCP upload requires block_sha_list and check_sha validation to enforce upload hashing requirements. This ensures data integrity during pre-upload and chunked upload workflows, verifying file blocks through check_data before completing the transfer.
Yes, the Weiyun MCP toolset supports token-authenticated file deletion through the weiyun.delete tool. It operates within automated environments using Python scripts and mcporter, enabling scripted testing and debugging of Weiyun cloud file management workflows.
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