# Task Management

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.

An MCP server for integrating ClickUp tasks with AI applications, providing task management, workspace organization, and AI - assisted functions.

The Freelo MCP Server is an unofficial community project that provides a proxy server based on the Model Context Protocol (MCP) for the Freelo API, enabling communication with the Freelo API and supporting integration into AI assistants such as Cline and Claude that support the MCP protocol. The project consists of two main components: a REST API server and an MCP server, and supports functions such as project management, task management, and file management.

This is an MCP server developed for the Cursor cloud agent API, which allows AI assistants to create and manage cloud agent tasks on GitHub repositories, providing functions such as task creation, status monitoring, and viewing conversation history.

An MCP service based on Taskwarrior for task management

Mo is a linear task management tool designed for the Cursor IDE. It seamlessly integrates issue tracking and task management with Linear through an MCP server, allowing developers to manage workflows directly in the IDE.

This project provides an MCP server for integrating with Todoist, enabling a language model to manage Todoist tasks and projects. It supports the full range of Todoist API functions, including creating, reading, updating, and deleting tasks, projects, labels, etc.

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 MCP server that converts Cursor agent plans into structured Markdown task lists and organizes them in the code repository

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.

An MCP server for managing to-do items of programming projects

A server implementation based on the Model Context Protocol (MCP) that provides an interface for accessing the Climate Data Store (CDS) catalog data and task statuses, supporting functions such as task querying, downloading, and submission.

HeyBeauty Virtual Try - On MCP Service, implemented in TypeScript, provides clothing resource management, try - on task submission and query functions, and integrates the HeyBeauty API to achieve virtual try - on effects.

Context Apps MCP is an AI-driven productivity suite that connects to-do lists, ideas, journals, and timer apps via the Model Context Protocol, providing intelligent task management, creative development, journal analysis, and time optimization functions.

Nyantify is an intelligent notification middleware that enables AI assistants to politely notify users after completing long - running tasks. It monitors whether the user leaves the IDE, the task duration, and the project context, and only sends push notifications to the mobile phone when really needed, avoiding disturbing the user's focused work.

A production - grade MCP server for Remember The Milk task management that allows Claude to manage tasks through natural language conversations, supporting full RTM API operations, intelligent addition syntax, and undo functionality.

This is an MCP server designed for the Nestr workspace, allowing AI assistants (such as Claude) to connect and operate data such as tasks, projects, and roles in the workspace. It supports functions such as search, creation, update, and commenting, and provides interactive UI components.

The MCP service interface of Dida365

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.

A task management server based on the MCP protocol, providing queued task management functions for clients such as Claude Desktop.

A production-level task management system based on the MCP protocol and Kafka, supporting task management, real-time notifications, and event stream processing, providing an interaction interface for AI agents.

Implementation of the Dida365 MCP server, providing task management functions through the official API and supporting OAuth 2.0 authentication

An unofficial Reclaim.ai MCP server that allows MCP-compatible clients to interact with the Reclaim API through standard resources and tools, supporting 14 operations such as task management and timing.

An MCP server implementation for Asana integration, supporting AI assistants to manage Asana tasks, projects, and other resources through a standardized protocol.

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.

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.

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.

A Todo application based on natural language processing that uses the Google Gemini API to parse commands, MongoDB to store data, and achieves real-time updates through the MCP protocol.

A Python system that integrates AI-driven task management and in-depth research functions, supporting complex project decomposition, task generation, and automated research.

ATLAS is a task management system based on the Model Context Protocol (MCP), providing hierarchical task management functions for large language models, including core components such as task organization, path validation, transaction management, and storage optimization.