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TaskMajor

PyPI Python 3.10+ MCP Compatible Local‑First License: MIT codecov

Your tasks. Your rules. Your agents.

A local-first MCP server that gives AI agents native access to a full TaskWarrior-compatible engine.
No cloud. No binary to install. No lock-in. Just a pip install and your agents are in control.

Ask your agent:

"Add a task to review the API spec"
"What's on my plate for today?"
"Run my weekly review"
"Show me the roadmap for Project X"

Why TaskMajor?

Most task managers are cloud-first and agent-hostile. TaskMajor is neither.

  • 🔒 100% local & private — all data stays on your machine, stored as plain text via the embedded TaskChampion engine
  • ⚙️ Full TaskWarrior power — projects, priorities, due dates, tags, UDAs, dependencies, contexts — all accessible by your agent
  • 🎭 Profile System — the feature no other task MCP has: define exactly what your agent can see and do, adapted to your methodology
  • Zero friction — one command installs and starts a fully functional MCP server

🚀 Quick Start

pip install taskmajor   # or: uv tool install taskmajor
taskmajor               # starts at http://localhost:8888

Point your MCP client (Claude Desktop, Hermes, Continue, or any MCP-compatible agent) at http://localhost:8888.

That's it. No TaskWarrior binary to install — the engine is embedded.

🤖 Hermes user in a hurry?5-minute Hermes setup

Want a specific workflow?

taskmajor --profile standard      # task CRUD + agenda (default)
taskmajor --profile productivity  # GTD: reviews, energy levels, contexts
taskmajor --profile project-mgmt  # sprints, effort tracking, blockers queue

Full installation options — uv, Docker, from source


📸 Demo



🎭 Profile System — TaskMajor's Killer Feature

Profiles are the heart of TaskMajor. Each profile defines a complete behavioral contract for your agent: what tools it can call, what data structures exist, what views it can read, and how it should reason about your tasks.

Profile Extends What it unlocks
minimal Bare CRUD: add, query, complete, delete
standard minimal Agenda views, date tools, metadata, organization prompts
productivity standard GTD: energy levels (low/medium/high), daily & weekly reviews, capture workflow, context tags (+@)
project-mgmt standard Sprint planning, effort analytics, blockers queue
your-profile any built-in Extend any profile without touching the package

Custom profile in 3 lines:

# ~/.config/myproject/profiles/myprofile/manifest.yaml
extends: [productivity]
# add your own UDAs, contexts, resources, and agent instructions
taskmajor -c ~/.config/myproject

Profile System documentation


✨ Key Features

  • 🔒 Private by design — plain-text storage, TaskChampion engine, runs entirely on your machine
  • 🧠 Profile-shaped agents — agents see only what you expose; switch workflows with one flag
  • Energy-aware schedulinglow / medium / high energy UDA lets your agent suggest tasks that match your current state
  • 🏷️ Safe context tags+@work, +@home, +@focus filter tasks without breaking TaskWarrior's native context system
  • 📅 Flexible date expressions — natural language dates resolved before any write operation
  • 📋 Daily & weekly reviews — structured review resources and prompts built into the productivity profile
  • 🔄 Optional sync — periodic or manual sync to a TaskChampion server (local or remote)
  • 🔌 Any MCP client — works with Claude Desktop, Hermes, Continue, or any MCP-compatible agent
  • 🐳 Docker-ready — official Dockerfile for containerized deployments
  • 📊 Built-in analytics — stats by project, priority, and status; effort and sprint tracking in project-mgmt

📚 Documentation

For Start here
First install Getting Started
5-minute walkthrough Quick Start guide
Hermes agent users Hermes Quick Start
Custom workflows Profile System
All profiles reference Profile Reference
Tools & resources API API Reference
Config & CLI flags Configuration
Docker / from source Deployment
Contributing Contributing

🌐 Community


📄 License

MIT — see LICENSE


Built with FastMCP · pytaskwarrior · TaskChampion · Pydantic

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Local-first task management engine for AI agents. MCP-compatible, highly customizable profiles (GTD, Energy-aware, Context tags), powered by an embedded TaskWarrior engine.

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