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.