# Progress Tracking

A software development planning tool based on the MCP protocol, providing functions such as task decomposition, progress tracking, and development plan management

zPlanner is a command - line project planning tool focused on software development management, providing task hierarchy, progress tracking, and HTML reporting functions. It is especially designed with a context memory system for AI - assisted development.

A personalized learning path generator based on Streamlit that integrates services such as YouTube, Google Drive, and Notion to create customized learning solutions through the MCP protocol.

Orchestro is an AI development coordination platform that connects product managers, developers, and AI, transforming product ideas into production code. It coordinates the entire development process through task decomposition, dependency tracking, pattern learning, and real-time progress visualization, providing functions such as project management, task execution, knowledge base, and real-time dashboard.

An intelligent context management system designed for development teams, persistently recording project structure, dependencies, and development progress

The Divide and Conquer MCP Server is a JSON - structured task management tool that helps AI agents break down complex tasks into manageable subtasks and provides progress tracking and context saving functions.

An MCP server that provides a structured development process for LLM programming

An MCP server that adds persistent task management functionality to the AI programming assistant, supporting multi-step task tracking across sessions and maintaining project progress memory.

The Project MCP Server is a tool for managing project knowledge graphs, providing structured representations of projects, tasks, milestones, resources, and team members to help project managers track progress, manage risks, allocate resources, and make decisions.

A task planning server based on the MCP protocol that helps AI assistants break down complex tasks, track progress, and manage hierarchical task lists.

This project implements an enhanced sequential thinking server based on the MCP protocol, providing a structured problem-solving framework that supports phased thinking, progress tracking, and dynamic adjustment functions.

A student knowledge graph management server that provides structured management and progress tracking of learning resources such as courses, assignments, and exams

A task orchestration and management server based on the MCP protocol, which can break down goals into manageable tasks and track progress, and supports task hierarchical structure and dependency management.

The MCP Task Manager is an AI task management tool that supports multi-step task planning, progress tracking, and user approval, suitable for structured AI task processing.