# Task Management

A to-do item management server based on the MCP protocol, providing a complete API for creating, updating, completing, and searching tasks, and can be used as a teaching example for MCP implementation.

ATLAS is an intelligent task and knowledge management system built on TypeScript and Neo4j, designed for LLM agents, providing a three - layer management architecture for projects, tasks, and knowledge.

An MCP service implementation based on TypeScript, providing tool integration such as JIRA and TODO management

The MCP service interface of Dida365

This is an MCP server implemented for the Asana project management platform, allowing interaction with the Asana API through an MCP client (such as the Claude desktop app) and providing management functions for tasks, projects, workspaces, etc.

The TickTick MCP Server is a service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with the TickTick task management application through the TickTick Open API and providing task and project management functions.

wcgw is an MCP server project that integrates Shell and code editing tools, allowing AI to execute commands, read and write files, edit code, etc. on the local machine. It provides multiple modes (such as Architect Mode, Code Writing Mode, etc.), supports task checkpoint saving, terminal interaction, syntax checking, etc., and is suitable for scenarios such as code development and problem troubleshooting.

The Dart MCP Server is an implementation of the model context protocol (MCP) server based on Dart, providing functions for task management, document processing, and space organization, and supporting integration with AI assistants.

The Cross-System Agent Communication MCP server is used to manage the collaboration, task allocation, and knowledge sharing of multi-role AI agents, integrating GitHub and database functions.

A simple reminder system designed for Claude, supporting cross - session memo saving to help AI manage tasks and ideas.

The OmniFocus MCP Server is a bridge that connects an AI assistant with the OmniFocus task management system, enabling viewing, creation, editing, and deletion of tasks through natural language interaction.

An implementation of the ClickUp MCP Server, providing AI assistants with the ability to interact with ClickUp workspaces

A customized MCP toolkit developed by Paul Walker, including practical functions such as task queue management and background process control.

Enhanced Todoist MCP Server Extension, providing full integration features of Todoist and Claude, including 29 management tools for tasks, projects, labels, comments, etc. It uses the latest Todoist API SDK and optimizes error handling and type safety.

Task Management Control Protocol Project

The core implementation directory of the Aegis Framework, including memory management, template system, operation mode, and task lifecycle management

A TypeScript - based MCP server for managing Google Tasks, providing functions for task creation, listing, deletion, updating, and status toggling, and supporting integration with LLMs or other applications.

A terminal-based task tracking application that uses a three-pane layout to manage tasks and project plans, supports task creation, editing, deletion, and project step management, and provides API and command-line interfaces.

A Todoist integrated MCP server developed for Cursor AI to enable direct task management in the coding environment

An MCP server integrating Claude and Todoist, supporting natural language task management

An MCP server integrated with an AI code editor that optimizes Cursor's proxy capabilities through the million - token context window of Gemini 2.5 and task management features.

An MCP server that interacts with the Jira REST API via natural language commands, supporting various operations such as querying projects, issues, and creating tasks.

An MCP server that natively integrates with macOS Apple Reminders, providing standardized interfaces to manage and operate reminders

The Wrike MCP server is a lightweight implementation used to connect the Wrike project management platform with language learning models (LLMs), providing API interfaces for task querying, comment adding, task creation, etc.

A production-ready Model Context Protocol server that provides powerful tools for AI assistants to interact with Slack lists, supporting the creation, retrieval, filtering, and management of list items.

An AI-native execution system based on Claude and the MCP protocol, which manages tasks, projects, and goals through natural language interaction, eliminating the context-switching friction caused by traditional productivity tools

aX Platform is an AI agent collaboration platform based on the MCP protocol. It provides 6 core tools such as real - time messaging, task management, and semantic search, supports automatic registration of multiple agents and zero - configuration collaboration, and enables seamless collaboration between humans and AI agents.

Gorev is a modern task management system developed in Go. It provides task management functions for AI assistants (such as Claude, VS Code, Cursor, etc.) through the Model Context Protocol (MCP). It supports multi - workspaces, an embedded Web interface, a REST API, and real - time event notifications, and has advanced features such as intelligent task creation, project organization, dependency management, and a template system.

An MCP server that allows Claude to interact with the LifeUp cloud API via the local network, supporting functions such as task management, achievement matching, and user information query.

Chainguard is an MCP server that provides task tracking, syntax validation, long-term memory, and intelligent context management for Claude Code, including code semantic search, hallucination prevention, and a kanban system.