# Task Management

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.

An MCP task management server that provides queued task management services for MCP clients such as Claude Desktop.

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.

Integrate Claude with Trello through Smithery.ai's MCP Server to support task management and project collaboration

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

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.

The ClickUp MCP Server is a server that provides a standardized interface for AI assistants to interact with the ClickUp API, enabling access and management of data such as workspaces, spaces, tasks, and documents.

An MCP server that allows LLMs to use GitHub issues as a task source

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.

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.

Hi-AI is an AI development assistant based on the Model Context Protocol (MCP), offering 36 professional tools. It supports natural language keyword recognition, intelligent memory management, code analysis, project planning, and task management, helping developers efficiently complete complex development tasks.

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.

The Google Tasks MCP Server is a bridge connecting Claude and Google Tasks, allowing you to directly manage task lists and tasks through Claude.

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

The SD Elements MCP server is a model context protocol service that provides SD Elements API integration, enabling LLMs to interact with the SD Elements secure development lifecycle platform.

DeltaTask is a local task management system that integrates Obsidian and the MCP protocol, providing intelligent task decomposition, priority sorting, and data analysis 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.

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 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.

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

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.

The ClickUp MCP Server is a model context protocol server for integrating ClickUp tasks with AI applications. It supports managing tasks, spaces, lists, folders, etc. through a standardized protocol and provides functions such as time tracking and tag management.

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.

A to-do list management system based on the MCP protocol, supporting multi-task list management, priority setting, due date reminder, and tag classification functions. It can be installed locally or globally for use.

The GitHub Kanban MCP Service is a tool that converts GitHub issues into a kanban - style management, specifically designed for LLM task management optimization.

The Dart MCP Server is the official AI model context protocol server for the Dart project, providing AI interfaces for task and document management.