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by shuakami • Workflow & Task Management
A Model Context Protocol (MCP) server that lets AI agents create and manage robust multi-threaded file downloads via a standardized interface.
Download large files reliably and quickly using multi-threaded parallelism and automatic resume support.
Create and manage download tasks programmatically (create, list, pause, resume, cancel, and clean) with persistent state across restarts.
Monitor download progress, speed, and estimated time remaining in real time and optionally run downloads in blocking or non-blocking modes.
This MCP server provides a bridge for AI assistants to start, monitor, pause, resume, cancel, and persist multi-threaded downloads with support for resume/断点续传 and real-time progress reporting. It handles splitting files into segments, parallel downloading (up to 32 threads), merging segments, and persistent task storage so downloads can continue in the background. It is implemented with Node.js/TypeScript, uses node-fetch and Zod for validation, and is distributed under the ISC license for local/self-hosted use.
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