Terminal Task Tracker MCP server

Terminal Task Tracker is a task management application with a three-pane terminal UI designed to help you track tasks and project plans effectively. It combines an intuitive interface with powerful features for creating, organizing, and monitoring your work progress.

Installation

To install Terminal Task Tracker, follow these steps:

# Clone the repository
git clone https://github.com/yourusername/terminal-task-tracker.git
cd terminal-task-tracker

# Install dependencies
pip install -e .

Usage

Terminal UI

To start the terminal UI:

python -m main.py

The interface is divided into three panes:

• Task list (top left)
• Task details (top right)
• Project plan (bottom, full width)

Key Bindings

• Tab: Cycle between windows
• Up/Down: Navigate lists
• Enter: Select task (in task list)
• n: New item (in task list or plan)
• e: Edit item
• d: Delete item
• Space: Toggle completion (in plan)
• Esc: Exit

Command-line Interface

The CLI provides access to all functionality:

# List all tasks
python -m app.api.cli task list

# Add a new task
python -m app.api.cli task add "Implement feature X" --description "Details about feature X" --priority 2

# Mark a plan step as completed
python -m app.api.cli plan toggle STEP_ID

# Export data to JSON
python -m app.api.cli export data.json

API Usage

You can also interact with Terminal Task Tracker programmatically:

from app.core.task_manager import TaskManager
from app.core.plan_manager import PlanManager
from app.api.api import TaskTrackerAPI

# Initialize managers
task_manager = TaskManager("tasks.json")
plan_manager = PlanManager("plan.json")

# Create API
api = TaskTrackerAPI(task_manager, plan_manager)

# Add a task
task = api.add_task("Implement feature X", "Details about feature X", priority=2)

# Add a plan step
step = api.add_plan_step("Design architecture for shared operations module")

# Mark step as completed
api.toggle_plan_step(step["id"])

# Save data
api.save_all()

Data Storage

By default, data is stored in the ~/.tasktracker directory:

• tasks.json: Tasks data
• plan.json: Project plan data
• notes.json: Notes data

How to add this MCP server to Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.