#task

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!

Perform Deep Research and Batch Tasks

A Model Context Protocol (MCP) server that provides background process management capabilities. This server enables LLMs to start, stop, and monitor long-running command-line processes.

A MCP server to send notification when task finish.

🌟 Revolutionary AI Context Management: Solving LLM Memory Loss in Long Conversations Long-term conversational consistency management system for LLM-powered AI agents 🚀 The Problem We Solve Traditional LLMs suffer from "intent forgetting" in long conversations: ❌ Lose track of the original goal after a few turns ❌ Forget important constraints and decisions ❌ Provide inconsistent responses across dialogue sessions ❌ Require users to constantly remind the AI of context CC-MCP provides intelligent context management tools to help MCP clients maintain consistency. 🎯 Real-World Impact Before CC-MCP: User: "I want to build an AI assistant app" AI: "Sure! Here are some general approaches..." [10 messages later] User: "Remember, budget is 500K yen, 3 months timeline" AI: "What project are we talking about?" ❌ After CC-MCP: User: "I want to build an AI assistant app" AI: "Great! Let me help you design this system..." [10 messages later] User: "What about deployment options?" AI: "For your AI assistant app (budget: 500K yen, 3-month timeline, security priority), here are deployment strategies that fit your constraints..." ✅

A comprehensive and efficient Model Context Protocol (MCP) server for task management that works seamlessly with Claude, Cursor, and other MCP clients. Designed to minimize tool confusion and maximize LLM budget efficiency while providing powerful search, filtering, and organization capabilities across multiple file formats. ✨ Features - ⚡ Ultra-efficient design: Minimal tool count (5 tools) to reduce AI confusion - 🎯 Budget-optimized: Batch operations, smart defaults and auto-operations minimize LLM API calls - 🚀 Multi-format support: Markdown (`.md`), JSON (`.json`), and YAML (`.yml`) task files - 🔍 Powerful search: Case-insensitive text/status filtering with OR logic, and ID-based lookup - 📊 Smart organization: Status-based filtering with customizable workflow states - 🎯 Position-based indexing: Easy task ordering with 0-based insertion - 📁 Multi-source support: Manage multiple task files simultaneously - 🔄 Real-time updates: Changes persist automatically to your chosen format - 🤖 Auto WIP management: Automatically manages work-in-progress task limits - 🚫 Duplicate prevention: Automatically prevents duplicate tasks - 🛡️ Type-safe: Full TypeScript support with Zod validation - 🔒 Ultra-safe: AI has no way to rewrite or delete your tasks (unless you enable it), only add and move them

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.

Agile Luminary: Bring Order to Your Vibes Product teams lose critical context every time work moves from planning to development. Stories get misinterpreted, features break, and developers rebuild what already exists because the connection between vision and code is broken. Agile Luminary is the AI-native project management tool that keeps your entire product context connected. Transform simple prompts into comprehensive documentation, user stories, and workflows that stay linked from concept to code. Never Lose Context Again Connect all your work directly to your AI IDE (Cursor, Claude, Windsurf). When developers start coding, they have instant access to related stories, requirements, and context. Your AI coding assistant knows what you're building, what already exists, and what not to break. From Vision to Velocity Start with your big picture—Vision, PRD, Epics—and let Agile Luminary intelligently break down work into manageable, connected pieces. Each story carries forward the context from your broader goals, ensuring nothing gets lost in translation. The result? Your team stays focused on high-impact work instead of piecing together fragmented information and fixing preventable mistakes.

Stop Claude from losing track. CVM is a passive state machine that Claude queries for tasks, maintaining perfect execution flow across complex operations. The Problem "Claude, analyze these 1000 files and create a report" → Claude gets confused, loses context, forgets what it's doing. The Solution CVM is a passive MCP server that holds program state. You write a program with loops and logic, but Claude only sees one task at a time. Claude asks "what's next?", completes the task, and asks again. The magic: CVM never pushes tasks. Claude pulls tasks when ready, maintaining perfect control while CVM quietly manages state between requests.

Buildable generates a phased backlog, scaffolds a private repo with CI, then serves JSON tasks through the Model-Controller-Prompt protocol. Any MCP-compatible assistant can pull tasks, push code, and move Kanban cards to Done.

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

MCP for letting agents delegate tasks to sub-agents (Claude Code, Aider, Q)

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 searching patients and creating tasks in Flight Health Atlas system.

A Model Context Protocol server that provides task orchestration capabilities for AI assistants

MCP server for TickTick integration

🤖 YETR AI Agent - Your Enhanced Task Runner. Powerful AI agent system that connects to multiple MCP servers simultaneously, providing unified access to diverse tools and data sources through a modern web interface.

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

TaskNote Bridge - MCP Server for Things 3 and Apple Notes integration

# Notes MCPAn MCP server that connects with your Apple Notes on macOS. 📓 This tool allows you to manage your notes efficiently with simple commands. 🛠️

CodeRide eliminates the context reset cycle once and for all. Through MCP integration, it seamlessly connects to your existing AI coding workflow, enhancing how you vibe code. Once connected, CodeRide transforms your development tasks into a structured Kanban, where each task preserves complete context and instructions your AI needs to work autonomously. Compatible with all major AI code editors including Cursor, Cline, and Windsurf, plus any MCP client like Claude.ai.

This is a Model Context Protocol (MCP) server implementation for Freedcamp task management. It provides tools for creating, updating, and deleting tasks in Freedcamp projects.

A task management Model Context Protocol (MCP) server that helps AI assistants break down user requests into manageable tasks with subtasks, dependencies, and notes. Enforces a structured workflow with user approval steps.

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.

TaskQueue MCP是一个革命性的企业级Agent执行引擎，核心采用BullMQ作为任务队列基础设施，实现了突破性的双循环分离架构。通过解耦用户对话循环与代理执行循环，该引擎能够执行持续数小时甚至数天的复杂工作流，同时保持完整的执行透明度与控制力。 依托BullMQ的高性能分布式任务处理能力，TaskQueue MCP特别适合企业环境中的多系统集成、复杂数据处理和长时间自动化流程。任务执行全程可追踪、可审计，并在关键节点支持人工干预，完美平衡了AI自主性与企业级应用所需的可控性。 无论是跨系统业务流程自动化、大型代码库重构还是复杂数据分析项目，这一引擎都为AI代理在企业环境中的应用提供了坚实可靠的执行基础。

Cline MCP Server - Internal workflow orchestration for agentic tasks

MCP Scheduler is a task automation server that lets you schedule shell commands, API calls, AI tasks, and desktop notifications using cron expressions. Built with Model Context Protocol for seamless integration with Claude Desktop and other AI assistants.

Enhance your TickTick workflow with MCP server. Better filtering interface

Feed your MCP client context from your Taskeract projects.

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.

Node.js MCP server using LLMs (Gemini/OpenRouter) for AI-assisted task planning, breakdown, and code review. Designed for Cursor integration.

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.

This MCP server enables advanced task and project management via Claude Desktop and other MCP-compatible clients.

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 developer behavior in reasoning AI systems.

An MCP server which allows your agent to schedule tasks and prompts at certain times.

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.

Shrimp Task Manager 透過結構化的工作流程引導，協助 Agent 系統性規劃程式開發步驟，強化任務記憶管理機制，有效避免冗餘與重複的編程工作。

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

API de gerenciamento de tarefas via WebSocket com execução modular de comandos e suporte a ferramentas, desenvolvida em TypeScript com banco SQLite. Projetada para integração com agentes de inteligência artificial.

an MCP server to expose a data format for translating tasks into environmental actions

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

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Todoist MCP server for Claude, using python Astral UV

Create, List, Update Tasks Create, View Projects Project ID is hardcoded! oops

A collection of MCP servers for various tasks

Kanban board designed for ai agents to keep track of multi-step tasks. Includes HIL Web UI and MCP server.

An MCP server for Android's Tasker automation app.

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

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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.