# Task Management

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.

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

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.

An MCP server designed for the Obsidian task plugin, used to extract and query task data from Markdown files, supporting integration with Claude AI for intelligent task management.

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.

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 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.

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 MCP service interface of Dida365

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.

The TickTick MCP Server is a task management API service, providing complete task and project management functions, including task creation/updating, project organization, habit tracking, etc., supporting OAuth authentication and rich custom options.

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

An unofficial Cloud Automator MCP server that provides functions to access Cloud Automator via REST API, including 12 tools for managing resources such as tasks, logs, and workflows.

A terminal-based task tracking application that uses a three-pane layout to manage tasks and project plans, supports task creation, editing, deletion, and project step management, and provides API and command-line interfaces.

A task management API server based on TypeScript, implementing the MCP protocol, providing standardized task management interfaces, and supporting both STDIO and HTTP+SSE running modes.

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

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 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.