Taskwarrior 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
• Agent Intelligence: Smart suggestions, dependency analysis, triage tools

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 .

Verifying Installation

# Check the version
python -c "from taskwarrior_mcp import __version__; print(__version__)"

# Or run the server directly
taskwarrior-mcp --help

Configuration

See the examples/ directory for complete configuration files.

Claude Desktop

Add to your Claude Desktop configuration file:

Platform	Location
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"]
    }
  }
}

Advanced Configuration

Use environment variables to customize Taskwarrior behavior:

{
  "mcpServers": {
    "taskwarrior": {
      "command": "taskwarrior-mcp",
      "env": {
        "TASKRC": "/path/to/custom/.taskrc",
        "TASKDATA": "/path/to/custom/.task"
      }
    }
  }
}

See examples/ for more configurations including multiple databases.

Available Tools

Core Task Management

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_bulk_get	Get detailed info about multiple tasks at once
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_project_summary	Get detailed project summaries with priority breakdown, due dates, and active tasks
taskwarrior_tags	List all tags
taskwarrior_undo	Undo the last operation
taskwarrior_summary	Get task statistics

Agent Intelligence Tools

Tool	Description
taskwarrior_suggest	Get smart task recommendations with scoring and reasoning
taskwarrior_ready	List tasks that are ready to work on (no pending dependencies)
taskwarrior_blocked	List tasks that are blocked by dependencies
taskwarrior_dependencies	Analyze dependency graphs and find bottlenecks
taskwarrior_triage	Find forgotten/stale tasks that need attention
taskwarrior_context	Get rich task context with computed insights

Usage Examples

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

Basic Task Management

• "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?"

Agent Intelligence

• "What should I work on next?" - Uses taskwarrior_suggest for smart recommendations
• "What tasks are ready to start?" - Uses taskwarrior_ready for unblocked tasks
• "What's blocking my progress?" - Uses taskwarrior_blocked and taskwarrior_dependencies
• "Any tasks I've forgotten about?" - Uses taskwarrior_triage for stale/orphaned tasks
• "Give me context on task 5" - Uses taskwarrior_context for rich task details

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 see CONTRIBUTING.md for guidelines on:

• Development setup
• Commit message conventions (Conventional Commits)
• Pull request process
• Code style requirements