# Task Management

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.

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

A simple task management server demonstration project based on the MCP Go library and Redis, supporting functions such as task creation, update, deletion, assignment, and status marking.

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.

An MCP service based on Taskwarrior for task management

A task management API service based on TypeScript, implementing the MCP protocol and supporting dual-mode operation

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.

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

A Todoist-integrated MCP server designed for Cursor AI to directly manage tasks in the coding environment

A server that allows AI assistants to directly control tasks in Things.app via the MCP protocol, supporting task creation, update, viewing, and management

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.

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 a Go-based MCP server for parsing tasks in Obsidian notes. It supports filtering tasks through query syntax and does not rely on the REST API.

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.

A Node.js server that provides the MCP protocol for TaskWarrior, supporting task viewing, adding, and completion operations.

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.

DeltaTask is a localized advanced task management system with intelligent priority sorting, task decomposition, and Obsidian integration features.

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.

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.

GitLab Kanban MCP Server for managing GitLab kanban task operations

Togello MCP Server is a service implementing the Model Context Protocol (MCP) for managing contexts in applications, providing functions such as task management, calendar integration, and activity tracking.

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 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.

An MCP server that provides integration with Things3, supports task and project management, and especially supports synchronization with Agenda projects.

An MCP service implementation for the GibWork platform, providing task management functionality, including creating, retrieving, and searching for tasks, following the standard Model Context Protocol.

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