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.

An efficient task manager that supports multiple file formats (Markdown, JSON, YAML), provides powerful search, filtering, and organization functions, and is designed to minimize tool confusion and maximize LLM budget efficiency.

This project demonstrates an example implementation of the Model Context Protocol (MCP), which is a standardized protocol for enhancing the capabilities of AI assistants and extending their functionality through custom tools and data sources. The project includes multiple MCP server examples, such as task managers, file explorers, and weather services, and provides guidelines on how to set up and use these servers.

An intelligent task management system based on the Model Context Protocol (MCP), providing an efficient programming workflow framework for AI agents, with functions such as task planning, decomposition, dependency management, verification, and memory.

AI Expert Workflow MCP is a model context protocol server based on the OpenRouter API. Through three AI expert roles of product manager, UX designer, and software architect, it provides a complete workflow solution from product planning to technical implementation. The project supports independent generation of PRD documents and can also be integrated with Task Master for task management.

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.

The GitScrum MCP Server is an official Model Context Protocol (MCP) service that transforms AI assistants (such as Claude, Cursor) into fully - featured project managers, providing in - depth context and operational access to GitScrum workspaces (tasks, sprints, time tracking, customer relationship management, analysis, etc.).

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.

A local task manager based on Redis, providing a modern web interface, rich CLI tools, and MCP server integration, supporting task management, time tracking, and log analysis.