mcp-taskwarrior-ai
An AI-native Taskwarrior bridge that provides natural language task management for Claude Code and other AI systems, integrating with existing Taskwarrior infrastructure.
README
MCP Taskwarrior AI Bridge
An AI-native Taskwarrior bridge that provides natural language task management for Claude Code and other AI systems. This MCP (Model Context Protocol) server extends Taskwarrior with context-aware, natural language capabilities while building on top of the existing Taskwarrior infrastructure.
Features
- Natural Language Processing: Convert everyday language into Taskwarrior commands
- Project Context Awareness: Automatically detects current project/ticket context
- Ticket Integration: Sync tasks from ticket checklists (supports .tickets/ directory structure)
- Eisenhower Matrix: Organize tasks by urgency and importance
- Smart Task Addition: Intelligently parse priorities, due dates, projects, and tags
- Shareable & Versioned: Configuration can be tracked in Git
Installation
Prerequisites
- Install Taskwarrior (if not already installed):
brew install task
- Install Node.js (v20 or later):
brew install node
Setup
- Clone the repository:
git clone https://github.com/storypixel/mcp-taskwarrior-ai.git
cd mcp-taskwarrior-ai
- Install dependencies:
npm install
- Build the project:
npm run build
Integration with Claude Code
Add the server to your Claude Code MCP configuration:
- Open your Claude Code settings
- Add to MCP servers:
{
"mcpServers": {
"taskwarrior": {
"type": "stdio",
"command": "node",
"args": ["/path/to/mcp-taskwarrior-ai/dist/index.js"],
"env": {}
}
}
}
Or using the Claude CLI:
claude mcp add taskwarrior -s project -- node /path/to/mcp-taskwarrior-ai/dist/index.js
Usage
Natural Language Commands
The bridge understands natural language for task management:
- Adding tasks: "add fix the login bug", "create task for code review", "todo implement caching"
- Listing tasks: "show all tasks", "what should I work on next", "list urgent tasks", "show tasks for today"
- Completing tasks: "mark task 5 as done", "complete task 1", "finish the review task"
- Context queries: "where am I", "what's my current project", "show current context"
Available Tools
task_natural
Execute Taskwarrior commands using natural language.
{
query: "add fix the authentication bug with high priority"
}
task_smart_add
Add tasks with structured metadata:
{
description: "Implement user authentication",
project: "myheb-android",
priority: "H",
due: "tomorrow",
tags: ["security", "auth"]
}
task_ticket_sync
Import tasks from a ticket's checklist:
{
ticket: "DRX-12345"
}
task_eisenhower
Get tasks organized by Eisenhower Matrix quadrants.
task_where_am_i
Get current context and suggested next actions based on project state.
task_context_set
Set the current project/context for all task operations:
{
context: "DRX-12345"
}
task_raw
Execute raw Taskwarrior commands for advanced users:
{
command: "modify 1 priority:H +urgent"
}
Project Context Integration
The bridge automatically detects project context using:
.taskprojectfile - If present, defines the project name for Taskwarrior- Git repository name - Falls back to the repo name from git
- Directory name - Uses current directory name if not in git
To override project detection, create a .taskproject file:
echo "my-project-name" > .taskproject
This is useful when one workspace manages tasks for another project.
The bridge also detects:
- Current Git branch (for ticket context)
- Task state from
.task-state.json - Ticket tasks from
.tickets/<ticket>/mr-checklist.md
Architecture
┌─────────────────┐
│ Claude Code │
│ or AI Agent │
└────────┬────────┘
│ Natural Language
▼
┌─────────────────┐
│ MCP Server │
│ - NLP Parser │
│ - Context Mgr │
└────────┬────────┘
│ Taskwarrior Commands
▼
┌─────────────────┐
│ Taskwarrior │
│ (task CLI) │
└─────────────────┘
Development
Running in Development Mode
npm run dev
Testing
Run the test script to verify the server is working:
node test.js
Building
npm run build
Configuration
The server uses your existing Taskwarrior configuration (~/.taskrc). You can customize Taskwarrior settings as usual.
Context Detection
The bridge uses the current working directory and automatically detects project context. No hardcoded paths or specific project names are used.
Ticket Integration
Place ticket tasks in:
.tickets/
└── DRX-12345/
├── context.md # Ticket context
└── mr-checklist.md # Tasks as checklist items
Format for mr-checklist.md:
- [ ] Update unit tests
- [ ] Add documentation
- [ ] Run linting
Prompts
The server includes built-in prompts:
Daily Review
Get a prioritized plan for the day including today's tasks, urgent items, and recommended next actions.
Weekly Planning
Organize tasks for the week ahead with active projects overview.
Troubleshooting
"Cannot proceed without rc file"
Initialize Taskwarrior:
task version
Context not detected
Ensure you're in a project directory or have .task-state.json in your workspace.
Ticket sync not finding tasks
Verify .tickets/<ticket>/mr-checklist.md exists and contains checkbox items.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
MIT
Author
storypixel
Acknowledgments
Built on top of Taskwarrior - the command-line task management tool.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.