pashpashpash

MCP TaskManager

Community pashpashpash
Updated

Model Context Protocol server for Task Management

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.

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

  1. Clone the Repository:

    git clone https://github.com/pashpashpash/mcp-taskmanager.git
    cd mcp-taskmanager
    
  2. Install Dependencies:

    npm install
    
  3. Build the Project:

    npm run build
    
  4. Configure Claude Desktop:

Locate your Claude Desktop configuration file at:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%/Claude/claude_desktop_config.json

You can also 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"

Add the following to your configuration:

{
  "tools": {
    "taskmanager": {
      "command": "node",
      "args": ["path/to/mcp-taskmanager/dist/index.js"]
    }
  }
}

Note: Replace "path/to/mcp-taskmanager" with the actual path to your cloned repository.

Development Setup

  1. Install tsx globally (if not already installed):

    npm install -g tsx
    
  2. Development Configuration:

    For development with the TypeScript source, modify your Claude Desktop config:

    {
      "tools": {
        "taskmanager": {
          "command": "tsx",
          "args": ["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"
}

Debugging

If you run into issues, check Claude Desktop's MCP logs:

tail -n 20 -f ~/Library/Logs/Claude/mcp*.log

Development

# Install dependencies
npm install

# Build the project
npm run build

# Development with auto-rebuild
npm run watch

License

MIT

Note: This is a fork of the original mcp-taskmanager repository.

MCP Server ยท Populars

MCP Server ยท New

    SchmidtDSE

    MCP Data Server

    Duckdb-based MCP server for datasets

    Community SchmidtDSE
    qubrics

    Sendmux SDKs

    Official monorepo of SDKs, CLI, and MCP servers for Sendmux email APIs across TypeScript, Python, Go, PHP, Rust, and Ruby.

    Community qubrics
    onehumanbeing

    ESP32 iPhone Agent

    Let an AI model use a real iPhone with a $7 ESP32: AirPlay eyes, USB HID hands, any OpenAI-compatible vision model. No Mac, no developer account, no jailbreak.

    Community onehumanbeing
    qubrics

    Email Inbox API + Sending by Sendmux

    Official monorepo of SDKs, CLI, and MCP servers for Sendmux email APIs across TypeScript, Python, Go, PHP, Rust, and Ruby.

    Community qubrics
    Twigpine

    openrecall

    Open-source, self-hostable, zero-knowledge memory for AI agents. End-to-end encrypted โ€” the server stores only ciphertext and can't read your agent's memory. Works with any MCP agent .

    Community Twigpine