Task Tracker

What is Task Tracker?

Task Tracker is a Model Context Protocol server that integrates Linear task management and TrackingTime time tracking. It allows you to use natural language with LLMs to automate workflows, such as creating tasks, updating statuses, and managing time tracking.

How to use Task Tracker?

Set up environment variables using the .env.example file, then build the package with uv build and run uv run task-tracker. Finally, configure the server in Claude Desktop by adding the command with the correct path to the task-tracker directory.

Key features of Task Tracker

• Create new tasks with optional project, description, and state
• Set current working team
• Get projects and view tasks by status
• Search tasks by title
• Update task status
• Start and stop time tracking for tasks
• View currently active tracked task
• Add notes to a tracking task

Use cases of Task Tracker

• Create and manage Linear tasks using natural language
• Update task statuses (backlog, unstarted, started, done, canceled)
• Start and stop time tracking on tasks without switching tools
• Add notes to time tracking entries
• Automate repetitive workflows combining task and time management

FAQ from Task Tracker

What integrations does Task Tracker support?

It integrates with Linear for task management and TrackingTime for time tracking.

How do I install and configure Task Tracker?

You need to set up environment variables (see .env.example), build with uv build, and then run uv run task-tracker. For Claude Desktop, add the server entry with the uv command.

What runtime does Task Tracker require?

It requires Python and the uv package manager, as it is built and run using uv.

How do I authenticate with Linear and TrackingTime?

Authentication is handled through environment variables defined in .env.example. You must provide valid API keys or tokens for both services.

What MCP transport does Task Tracker use?

The server uses standard I/O (stdio) as its transport, as configured for Claude Desktop.