# Task Management

A to - do list server based on FastMCP, providing task reception and storage functions for the Swarmonomicon project

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.

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.

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 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.

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

A software development planning tool based on the MCP protocol, providing functions such as task decomposition, progress tracking, and development plan management

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

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.

A TypeScript-based Cursor background programming task management API client and CLI tool that provides a command-line interface and MCP server support for automated management of background programming tasks.

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

A service that enables Claude Desktop to interact with the Things task management application through the MCP protocol, supporting task creation, project analysis, and priority management.

The Trello MCP Server is a powerful AI integration service that enables interactive management of Trello boards, lists, and cards through the Model Context Protocol. It supports two operating modes: Claude desktop application and SSE server, and provides complete read and write capabilities for board data.

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.

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.

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

SP-MCP is a bridge project that connects the Super Productivity application with the MCP protocol, enabling direct interaction between the Claude desktop and task management tools, and supporting task creation, project management, and data synchronization functions.

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.

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.

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

Nash MCP is a multi - functional command execution server that supports Shell command execution, Python code execution, web content fetching, and task management, providing secure credential storage and session 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.

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.

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

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.