taskwarrior-mcp 0.1.0

MCP server for Taskwarrior CLI task management

Taskwarrior MCP Server

An MCP (Model Context Protocol) server that enables AI assistants to interact with Taskwarrior, the powerful command-line task management tool.

Features

• Full Taskwarrior Integration: List, create, modify, complete, and delete tasks
• Project & Tag Management: Organize tasks with projects and tags
• Annotations: Add notes and context to tasks
• Filtering: Use Taskwarrior's powerful filter expressions
• Multiple Output Formats: Get responses in Markdown or JSON

Prerequisites

• Python 3.10 or higher
• Taskwarrior installed and available in your PATH

Installing Taskwarrior

# macOS
brew install task

# Ubuntu/Debian
sudo apt install taskwarrior

# Fedora
sudo dnf install task

# Arch Linux
sudo pacman -S task

Installation

From PyPI (recommended)

pip install taskwarrior-mcp

From Source

git clone https://github.com/yourusername/taskwarrior-mcp.git
cd taskwarrior-mcp
pip install -e .

Configuration

Claude Desktop

Add to your Claude Desktop configuration file:

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

{
  "mcpServers": {
    "taskwarrior": {
      "command": "taskwarrior-mcp"
    }
  }
}

Claude Code CLI

Add to your ~/.claude/settings.json:

{
  "mcpServers": {
    "taskwarrior": {
      "command": "taskwarrior-mcp"
    }
  }
}

Using uvx (no installation required)

{
  "mcpServers": {
    "taskwarrior": {
      "command": "uvx",
      "args": ["taskwarrior-mcp"]
    }
  }
}

Available Tools

Tool	Description
taskwarrior_list	List tasks with optional filtering
taskwarrior_add	Create a new task
taskwarrior_complete	Mark a task as completed
taskwarrior_modify	Modify task attributes
taskwarrior_delete	Delete a task
taskwarrior_get	Get detailed info about a task
taskwarrior_annotate	Add a note to a task
taskwarrior_start	Start working on a task
taskwarrior_stop	Stop working on a task
taskwarrior_projects	List all projects
taskwarrior_tags	List all tags
taskwarrior_undo	Undo the last operation
taskwarrior_summary	Get task statistics

Usage Examples

Once configured, you can interact with Taskwarrior through your AI assistant:

• "What tasks do I have?"
• "Add a task to review the quarterly report with high priority"
• "Show me all tasks in the work project"
• "Complete task 5"
• "What's due this week?"

Development

Setup

git clone https://github.com/yourusername/taskwarrior-mcp.git
cd taskwarrior-mcp
python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"

Running Tests

pytest

Code Quality

# Format code
black .
ruff check --fix .

# Type checking
mypy taskwarrior_mcp.py

License

MIT License - see LICENSE for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.