#task-management

MCP server that connects AI agents (Claude Code, Cursor, Codex) to Dida365/TickTick. 40 tools for tasks, projects, tags, habits, folders, and search — manage everything through natural language.

A control plane for AI agents and human supervisors. Persistent task registry with scoped permissions, inter-agent delegation, and full provenance - all accessible via MCP. Deploy on Supabase free tier in 3 commands.

AI-native productivity backend — your AI thinks, Tycana remembers. Persistent memory, computed intelligence, and pattern awareness for your AI assistant.

Official MCP server for TrackingTime, the time tracking and productivity platform. Query time entries by user or across your entire team, list projects, tasks, customers, and workspace members. Supports date filtering and pagination. Hosted via SSE — no install needed.

Manage your tasks with AI assistants. List, create, update, complete and delete tasks, view groups and statistics through Glintlint REST API.

MCP server for Fizzy kanban task management. 8 tools for boards, cards, comments, checklists, and bulk operations.

GitScrum Studio MCP server for AI-powered project management. 29 tools covering tasks, sprints, time tracking, invoicing, proposals, client workflows, analytics, standups, wikis, and discussions. Supports 160+ operations with built-in OAuth device flow authentication.

MCP server allows agents to break tasks down and execute them sequentially.

Sticky Note MCP Server is a minimal yet powerful implementation of the **Model Context Protocol (MCP)** built with **FastMCP** in Python. It lets agents and users create, manage, and summarize sticky notes directly through MCP tools and resources. ### ✨ Features - 📝 Create, list, update, and delete notes - 🏷️ Add tags and pinned/archived status - 🔍 Search and filter by keyword or tag - 🧠 Generate AI-based summaries or roadmaps - 🗂️ Built-in resources: - `notes://latest` - `notes://pinned` - `notes://stats` ### 🧰 Tool Endpoints - `add_note(message, tags=None, pinned=False)` - `list_notes(tags=None, pinned=None, archived=None)` - `search_notes(query)` - `update_note(note_id, message=None, pinned=None, archived=None)` - `delete_note(note_id)` - `clear_notes()` ### 🚀 Getting Started 1. Clone the repository: ```bash git clone https://github.com/aynul-abedin/sticky-note-mcp-server cd sticky-note-mcp-server

A Model Context Protocol (MCP) server that allows you to manage your daily routine TickTick tasks with LLMs!

A comprehensive MCP server for Kanboard project management that provides tools for managing projects, tasks, users, comments, files, and more through the Kanboard API. Key Features: Project management (create, update, delete, list projects) Task management (create, update, delete, move, search tasks) User management (create, update, delete users) Comment system (create, update, delete comments) File management (upload, download, delete files) Swimlane and column management Tag management Metadata handling Search functionality Supported Kanboard API Methods: 50+ methods covering all major Kanboard functionality Language: Go License: MIT (as shown in your LICENSE.md) Requirements: Built executable (kanboard-mcp.exe for Windows) Kanboard instance with API access API credentials (API key or username/password) This MCP server provides a complete interface to Kanboard's project management capabilities through the Model Context Protocol, making it easy to integrate Kanboard functionality into AI assistants and other MCP-compatible applications.

A comprehensive Model Context Protocol (MCP) server that integrates Sunsama's daily planning and task management capabilities into AI assistants. Provides full CRUD operations for tasks, enabling automated workflow management and productivity optimization through the Sunsama API. Key features: Task Management: Create, read, update, and delete tasks with notes, time estimates, due dates, and stream assignments Daily Planning: View tasks by specific day with completion filtering and access backlog tasks Task Operations: Mark tasks complete with custom timestamps, reschedule tasks, or move items to backlog User & Organization: Access user profile, timezone, group details, and stream/channel management Flexible Transport: Supports both stdio and HTTP stream MCP transports Easy Setup: Use directly with npx mcp-sunsama or install locally for development Perfect for building AI-powered productivity workflows, automated task management, and custom interfaces that sync with your Sunsama workspace.

MCP Todo.txt Integration is an MCP server for managing Todo.txt tasks. Add, update, filter, and organize tasks programmatically via the MCP protocol. Features include searching, sorting, metadata, batch operations, and dynamic updates.

Model Context Protocol (MCP) Server para administración inteligente de tareas del equipo OnBotGo. Integra APIs existentes de Apiaim e Intranet con capacidades de IA para gestión optimizada de proyectos.

MCP Server for Use Motion Task Management System

Dynamic Team Collaboration MCP Server for Smithery - Flexible crew synchronization with priority-based task management

Model Context Protocol server for Vikunja task management. Enables AI assistants to interact with Vikunja instances via MCP.

MCP server for TickTick integration

🔗 Model Context Protocol server for todo.txt files - Connect your todo.txt to AI assistants like Claude Desktop

A simple and effective MCP server to manage your todos

DevContext is a cutting-edge Model Context Protocol (MCP) server designed to provide developers with continuous, project-centric context awareness. Unlike traditional context systems, DevContext continuously learns from and adapts to your development patterns and delivers highly relevant context providing a deeper understanding of your codebase.

DevContext is a cutting-edge Model Context Protocol (MCP) server designed to provide developers with continuous, project-centric context awareness. Unlike traditional context systems, DevContext continuously learns from and adapts to your development patterns and delivers highly relevant context providing a deeper understanding of your codebase.

Enhance your TickTick workflow with MCP server. Better filtering interface

An MCP tool set providing internal task management state for complex multi-session workflows with AI agents. This is similar to other memory MCP tools, with the additional structure, rules and visibility of a kanban-based task management system.

Branch-Thinking MCP Tool A TypeScript-powered MCP server for managing parallel branches of thought, semantic cross-references, and persistent tasks. Features dynamic scoring, AI-generated insights, batch operations, and visual graph navigation for advanced agentic workflows.

Obsidian tasks MCP server

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

A GitHub MCP Server with SSE transport built with TypeScript and Express

A local Model Context Protocol (MCP) server providing backend tools for client-driven project and task management using a SQLite database.

This app was built completely with cursor using the Box MCP server to find a PRD and coding guidelines.

ClickUp MCP Server - Integrate ClickUp task management with AI through Model Context Protocol

Mirror of

Mirror of

Todoist MCP server for Claude, using python Astral UV

A simple MCP Server for Taskwarrior

A MCP server for TickTick that enables interacting with your TickTick task management system directly through Claude and other MCP clients.

A powerful MCP (Model Context Protocol) server for Claude Desktop, integrating task management, SQLite, and Obsidian visualization.

ClickUp MCP Server - Integrate ClickUp task management with AI through Model Context Protocol

Mirror of

Mirror of

Mirror of

Mirror of

Mirror of

Notion MCP Integration is a lightweight Model Context Protocol (MCP) server that seamlessly integrates with Notion's API to manage a minimalist personal to-do list through Claude. This project provides basic functionality tailored specifically for a simple Notion database structure, enabling efficient task management without unnecessary complexity.

A Model Context Protocol (MCP) server for ATLAS, a Neo4j-powered task management system for LLM Agents - implementing a three-tier architecture (Projects, Tasks, Knowledge) to manage complex workflows. Now with Deep Research.

Interact with Todoist to manage your tasks.