Task Management MCP Servers

(Typescript) - Official MCP server for Buildable AI-powered development platform. Enables AI assistants to manage tasks, track progress, get project context, and collaborate with humans on software projects.

MCP server to interact with Routine: calendars, tasks, notes, etc.

Access and implement all of your projects and tasks (Stories) from Shortcut.

Let the AI manage complex plans with integrated task management and tracking tools. Supports STDIO, SSE and Streamable HTTP transports.

MCP server for ClickUp task management, supporting task creation, updates, bulk operations, and markdown descriptions.

Google Tasks API Model Context Protocol Server.

Things3 task management integration for macOS with comprehensive TODO, project, and tag management.

A Model Context Protocol (MCP) server designed to integrate with the TickTick task management platform, enabling intelligent context-aware task operations and automation.

Interact with Todoist to manage your tasks.

An MCP server that interact with user Trello boards, modifying them with prompting.

A server that interacts with workflowy.

A framework for creating multi-agent systems using MCP for coordinated AI collaboration, featuring task management, shared context, and RAG capabilities.

Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like develope

An MCP server for basic local taskwarrior usage (add, update, remove tasks)

A Model Context Protocol (MCP) server that integrates with Notion's API to manage personal todo lists efficiently.

Integrates with Notion's API to manage personal todo lists

TickTick MCP server that integrates with TickTick's API to manage personal todo projects and the tasks.

Allows AI clients to manage contacts, opportunities and tasks in Capsule CRM including Claude Desktop ready DTX-file

TickTick MCP server. Built upon the ticktick-py library, it offers significantly improved filtering capabilities.