mcp-tasker 1.0.0

Simple file-based task tracker for git repos

Tasker

A simple file-based task tracker for git repositories. Tasks are stored as plain Markdown files inside a tasker/ directory, tracked alongside your code with git.

Installation

Install with pipx (recommended — installs in an isolated environment):

pipx install mcp-tasker

Or with pip:

pip install mcp-tasker

For development (requires Poetry):

git clone https://github.com/greendwin/mcp-tasker.git
cd mcp-tasker
poetry install --with dev

Quick Start

# Create a story
tasker new "Build authentication"

# Add subtasks
tasker add s01 "Design login flow"
tasker add s01 "Implement JWT tokens" --details "Use RS256 signing"

# Work on a task
tasker start s01t01

# View what's on your plate
tasker list

# Mark tasks done
tasker done s01t01

# Edit a task in your editor
tasker edit s01t02

Tasks are stored as Markdown in tasker/ and committed with your code:

tasker/
  s01-build-authentication/
    README.md
    s01t01-design-login-flow.md
    s01t02-implement-jwt-tokens.md

Usage

Create tasks

tasker new <title>                          # new root story
tasker new <title> --details "..." --slug <slug>  # with description and slug
tasker add <parent-id> <title>              # inline subtask
tasker add <parent-id> <title> --details "..."    # subtask with description
tasker add-many <parent-id>                 # add multiple subtasks interactively

Update status

tasker start <task-id>...     # mark in-progress
tasker done <task-id>...      # mark done
tasker cancel <task-id>...    # cancel
tasker reset <task-id>...     # reset to pending

# Force-close a parent with open subtasks
tasker done <task-id> --force

View tasks

tasker list                   # all open root tasks
tasker list -a                # include closed tasks
tasker list <task-id>         # subtasks of a specific task
tasker view <task-id>         # full task details

Edit tasks

tasker edit <task-id>                    # open in $EDITOR
tasker edit <task-id> --title "New title"
tasker edit <task-id> --details "New description"
tasker edit <task-id> --slug new-slug

Organize

tasker move <task-id> --parent <new-parent>  # reparent
tasker move <task-id> --root                 # promote to story
tasker archive <task-id>                     # archive completed story
tasker archive --closed                      # archive all closed stories
tasker unarchive <task-id>                   # restore from archive

Shortcuts

Reference recent tasks without typing full IDs:

Shortcut	Meaning
q	Last referenced task
q01	Subtask 01 of recent
p	Parent of recent
p03	Sibling 03 via parent

tasker view s01t02   # sets recent = s01t02
tasker start q       # starts s01t02
tasker view p        # views s01 (parent)
tasker done q01      # marks s01t0201 done

MCP Server

tasker can run as a Model Context Protocol server, allowing AI agents to manage your tasks directly.

Configure in Claude Code

claude mcp add tasker -- tasker mcp

Configure per-project (.mcp.json)

{
  "mcpServers": {
    "tasker": {
      "command": "tasker",
      "args": ["mcp"]
    }
  }
}

If running from a Poetry project:

{
  "mcpServers": {
    "tasker": {
      "command": "poetry",
      "args": ["run", "tasker", "mcp"]
    }
  }
}

HTTP transport

For network-accessible clients, start with --port:

tasker mcp --port 8080

Available tools

Once connected, the MCP server exposes:

Tool	Description
create_task	Create a root task or subtask
list_tasks	List all root tasks
view_task	View task details and subtasks
start_task	Mark task in-progress
reset_task	Reset task to pending
finish_task	Mark task done

Development

poetry install --with dev

# Run all checks (lint + tests)
poetry run tox

# Run tests only
poetry run tox -e test

# Lint (black, isort, flake8, mypy)
poetry run tox -e lint

# Format code
black src tests
isort src tests

Requirements

• Python >= 3.10

Release Notes

1.0.0

• pip release