The MCP TaskManager is a serverless task management system designed for AI assistants to handle complex multi-step workflows with built-in user approval mechanisms. With this server, you can:
Break down complex tasks into manageable sub-tasks using
request_planning
Track progress via
get_next_task
and progress tablesMark tasks as completed with
mark_task_done
Require user approval for completed tasks and entire requests
Inspect task details and list all requests
Add, update, or delete tasks within existing requests
Persistently store task data using Cloudflare KV
Interact through a RESTful API compliant with the Model Context Protocol
Support cross-origin requests (CORS) for web integration
MCP TaskManager
Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.
Quick Start (For Users)
Prerequisites
- Node.js 18+ (install via
brew install node
) - Claude Desktop (install from https://claude.ai/desktop)
Configuration
- Open your Claude Desktop configuration file at:
~/Library/Application Support/Claude/claude_desktop_config.json
You can find this through the Claude Desktop menu:
- Open Claude Desktop
- Click Claude on the Mac menu bar
- Click "Settings"
- Click "Developer"
- Add the following to your configuration:
For Developers
Prerequisites
- Node.js 18+ (install via
brew install node
) - Claude Desktop (install from https://claude.ai/desktop)
- tsx (install via
npm install -g tsx
)
Installation
Development Configuration
- Make sure Claude Desktop is installed and running.
- Install tsx globally if you haven't:
- Modify your Claude Desktop config located at:
~/Library/Application Support/Claude/claude_desktop_config.json
Add the following to your MCP client's configuration:
Available Operations
The TaskManager supports two main phases of operation:
Planning Phase
- Accepts a task list (array of strings) from the user
- Stores tasks internally as a queue
- Returns an execution plan (task overview, task ID, current queue status)
Execution Phase
- Returns the next task from the queue when requested
- Provides feedback mechanism for task completion
- Removes completed tasks from the queue
- Prepares the next task for execution
Parameters
action
: "plan" | "execute" | "complete"tasks
: Array of task strings (required for "plan" action)taskId
: Task identifier (required for "complete" action)getNext
: Boolean flag to request next task (for "execute" action)
Example Usage
local-only server
The server can only run on the client's local machine because it depends on local resources.
Tools
A Model Context Protocol server that allows Claude Desktop to manage and execute tasks in a queue-based system, supporting planning, execution, and completion phases.
Related MCP Servers
- AsecurityAlicenseAqualityModel Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.Last updated -10361193MIT License
- -securityFlicense-qualityA Model Context Protocol server for Claude Desktop that provides structured memory management across chat sessions, allowing Claude to maintain context and build a knowledge base within project directories.Last updated -3
- AsecurityFlicenseAqualityA Model Context Protocol server that allows integration with Claude Desktop by creating and managing custom tools that can be executed through the MCP framework.Last updated -40
- -securityAlicense-qualityA Model Context Protocol server that enables Claude Desktop to perform file operations like reading, writing, listing directories, and managing files through natural language commands.Last updated -MIT License
Appeared in Searches
- An MCP for managing lifestyle, coordinating daily routines, exercise, and study tasks
- Todo List for Remote Management of MCP
- A system for task management and integration with AI editors using multiple LLMs
- Understanding Batch Processing in Computing or Operations
- A task management app for scheduling appointments