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@kazuph/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.

207
GitHub Stars
11/21/2025
Last Updated
MCP Server Configuration
1{
2 "name": "taskmanager",
3 "command": "npx",
4 "args": [
5 "-y",
6 "@kazuph/mcp-taskmanager"
7 ]
8}
JSON8 lines
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README Documentation

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.

@kazuph/mcp-taskmanager MCP server

Quick Start (For Users)

Prerequisites

  • Node.js 18+ (install via brew install node)
  • Claude Desktop (install from https://claude.ai/desktop)

Configuration

  1. Open your Claude Desktop configuration file at: ~/Library/Application Support/Claude/claude_desktop_config.json

You can find this through the Claude Desktop menu:

  1. Open Claude Desktop

  2. Click Claude on the Mac menu bar

  3. Click "Settings"

  4. Click "Developer"

  5. Add the following to your configuration:

{
  "tools": {
    "taskmanager": {
      "command": "npx",
      "args": ["-y", "@kazuph/mcp-taskmanager"]
    }
  }
}

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

git clone https://github.com/kazuph/mcp-taskmanager.git
cd mcp-taskmanager
npm install
npm run build

Development Configuration

  1. Make sure Claude Desktop is installed and running.

  2. Install tsx globally if you haven't:

npm install -g tsx
# or
pnpm add -g tsx
  1. Modify your Claude Desktop config located at: ~/Library/Application Support/Claude/claude_desktop_config.json

Add the following to your MCP client's configuration:

{
  "tools": {
    "taskmanager": {
      "args": ["tsx", "/path/to/mcp-taskmanager/index.ts"]
    }
  }
}

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

// Planning phase
{
  action: "plan",
  tasks: ["Task 1", "Task 2", "Task 3"]
}

// Execution phase
{
  action: "execute",
  getNext: true
}

// Complete task
{
  action: "complete",
  taskId: "task-123"
}

Quick Install

Quick Actions

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Key Features

Model Context Protocol
Secure Communication
Real-time Updates
Open Source

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