Time Tracking MCP Server: Automate Work Logs and Focus Sessions
A time tracking MCP server enables AI assistants to start and stop timers, attach notes to work sessions, and log time automatically. Instead of manually tracking time, your AI can manage timers and create accurate work logs based on your conversations.
How MCP Time Tracking Works
With Corcava's time tracking MCP tools, your AI assistant can:
Start Timers
Begin tracking time on a specific task:
- AI finds the task
- Calls
start_time_tracking - Timer starts in Corcava
Stop Timers
End tracking and log time:
- AI stops current timer
- Calls
stop_time_tracking - Time is logged to task
Check Status
See what's currently tracking:
- AI calls
get_tracking_status - Shows active timer
- Prevents double-tracking
Example Workflows
Starting a Focus Session
You: "Start tracking time on the login feature task"
AI:
- Finds the task using
list_tasks - Checks current tracking status
- Stops any active timer if needed
- Starts timer on the specified task
- Confirms timer is running
Logging Work with Notes
You: "Stop the timer and add a note that I completed the authentication flow"
AI:
- Stops the active timer
- Logs time to the task
- Adds a comment with your note
- Shows summary of time logged
Best Practices for Accurate Time Logs
1. Start Timers When You Begin Work
Don't wait until the end of the day to log time. Start tracking when you begin working on a task.
2. Add Notes When Stopping
Always include a brief note about what you accomplished when stopping a timer.
Time Tracking Tools
Corcava provides three MCP tools for time tracking:
Automate Your Time Tracking
Let your AI assistant manage timers and log time automatically
No credit card required