# 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.

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 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.

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.

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

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.

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.

A comprehensive to-do application that includes a React Native mobile end and a Node.js/Express backend API, supporting functions such as user authentication and task management.

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

MCPlanManager is a task management system designed for AI Agents, supporting the MCP standard and providing functions such as task plan initialization, execution, persistence, and visualization. It supports two deployment methods: uvx and Docker.

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.

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 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.

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

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.

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

Teamwork.com AI is an unofficial extension that integrates AI functions through the Model Context Protocol (MCP) Server to interact with Teamwork.com, supporting operations such as creating tasks and projects.

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

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.

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.

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.