
task tracker
A mcp server for task management with Linear and time tracking with TrackingTime
Repository Info
About This Server
A mcp server for task management with Linear and time tracking with TrackingTime
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
Task Tracker
!ci
A Model Context Protocol server that integrates Linear task management and TrackingTime time tracking.
!task-tracker-demo
Motivation
I've been using Linear for task management and TrackingTime for time tracking for a long time. I found it could be very helpful to use LLM to automate my workflows and tasks. With the benifits of large language models, I can use natural language to create tasks, update task statuses, start and stop time tracking, and more.
If I develop more MCP servers tailored to my own needs, I can make the Claude client an all-in-one workspace for me.
Features
- Integration with Linear API for task management
- Create new task with optional project, description and state assignments
- Set current working team
- Get projects
- View tasks by status (backlog, unstarted, started, done, canceled)
- Search tasks by title
- Update task status
- Integration with TrackingTime for task time tracking
- Start time tracking for tasks
- Stop active time tracking
- View currently active tracked task
- Add notes to tracking task
Setup
- setup the environment, refer to the .env.example file.
sh scripts/setup.shto build the package or run below uv commands directly.
uv build
uv run task-tracker
- setup it in the Claude Desktop:
{
"mcpServers": {
"task-tracker": {
"command": "uv",
"args": [
"--directory",
"/path/to/task-tracker",
"run",
"task-tracker"
]
}
}
}
Quick Start
Clone the repository
git clone https://github.com/reminia/task-trackerInstall dependencies
cd task-tracker
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
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