GitScrum Time Tracking MCP. Know your budget burn rate in natural conversation.
Works with every AI agent you already use
…and any MCP-compatible client
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GitScrum Time Tracking tracks time and manages budgets by connecting directly to your project workflow data. Start timers conversationally, log hours retroactively, and get instant insights into team productivity scores and budget burn-down charts.
Review standup summaries and flag risks—all from your preferred AI client.
What your AI agents can do
Budget alerts
Retrieves alerts when a project budget hits specific thresholds.
Budget burndown
Generates data points for a chart showing how fast the project is spending its allocated budget.
Budget consumption
Provides a detailed breakdown of where the overall project budget funds are being spent.
Your agent starts an active timer on a specified task, automatically recording elapsed time until you tell it to stop.
You can create new time entries for projects retroactively by specifying start/end times and descriptions.
The agent pulls current project consumption data, burn-down charts, and alerts to show project financial health.
You get a structured summary of team progress, listing tasks completed yesterday and any blockers that need attention.
Review summarized performance data for individual team members over specified time periods (week, month, quarter).
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Supported MCP Clients
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GitScrum Time Tracking MCP Server: 28 Tools for Project Metrics
Use these tools to orchestrate complex project workflows. From starting timers to getting budget consumption breakdowns, every tool handles a specific piece of your development process.
019d8442budget alerts
Retrieves alerts when a project budget hits specific thresholds.
019d8442budget burndown
Generates data points for a chart showing how fast the project is spending its allocated budget.
019d8442budget consumption
Provides a detailed breakdown of where the overall project budget funds are being spent.
019d8442budget events
Lists a log of all significant changes or events that occurred related to the project budget.
019d8442budget overview
Pulls a high-level summary report on the current financial status of any given project.
019d8442completed yesterday
Gets a list of all tasks that were marked as finished during the previous day.
019d8442contributors
Provides a summary of activity metrics for different team members, filterable by week, month, quarter, or year.
019d8442delete time entry
Allows you to remove an existing time tracking entry from the records.
019d8442get active timer
Checks and reports the details of any timer that is currently running.
019d8442get task
Validates a task's existence and retrieves its full details using its UUID before time tracking begins.
019d8442list tasks
Lists all project tasks, allowing you to filter by status (To Do, In Progress, Done).
019d8442list time entries
Retrieves a list of all time entries logged for a specific project.
019d8442log manual time
Creates and saves a new, retroactive manual time entry using specified start/end times.
019d8442my tasks
Retrieves all tasks assigned to you across every workspace for quick reference.
019d8442my today tasks
Lists all tasks that are due or scheduled to be completed today.
019d8442productivity report
Generates a full report summarizing team and individual productivity metrics over time.
019d8442projects at risk
Identifies all projects that are currently using budget funds at an unsustainable rate.
019d8442standup blockers
Lists current tasks or dependencies that have stalled and require attention.
019d8442standup summary
Generates a concise daily summary of the standup meeting, detailing progress and blockers.
019d8442start timer
Initiates a timed tracking session on a specified task, which continues until manually stopped.
019d8442stop timer
Ends the currently running timer and logs the elapsed time automatically.
019d8442stuck tasks
Identifies tasks that have been in a certain state for too long, indicating potential process delays.
019d8442team status
Retrieves the current working or availability status of specific team members.
019d8442team time report
Generates a consolidated report showing total logged time for an entire team over a given period.
019d8442time analytics
Pulls deep data sets and visualizations to analyze patterns in how and when time is spent.
019d8442time reports
Generates comprehensive, detailed reports covering all aspects of historical time usage.
019d8442time timeline
Shows a chronological feed of every single time entry logged for a project.
019d8442weekly digest
Compiles an automatically generated summary of all team activity and achievements from the past week.
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What you can do with this MCP connector
Your agent gives you direct access to your project's time logs, task status, and financial health right inside GitScrum. You don't have to click through a dozen dashboards; you just ask the question.
Time Tracking & Logging
The start_timer tool kicks off an active timer for any specific task, automatically recording elapsed time until your agent stops it using stop_timer. If you forgot to hit start when you started working, no sweat. You can use log_manual_time to create new entries retroactively, specifying the exact start and end times along with a description.
Need a quick status check? Use get_active_timer to see what's running right now. For reference, your agent pulls all tasks assigned just to you across every workspace using my_tasks, or lists only those due today via my_today_tasks. You can also get a list of all project tasks by filtering status with list_tasks, and it will even show you everything that was marked as finished yesterday, pulling data from completed_yesterday.
Budget Management & Financial Oversight
Keeping an eye on the money is where this shines. The budget_overview tool pulls a high-level summary of the current financial status for any project you point it toward. For deep dives, budget_consumption gives you a detailed breakdown showing exactly where every dollar in the overall budget is going. You can see how fast you're spending by generating data points for a chart using budget_burndown, or check out the historical record of all significant changes with budget_events.
The system flags problems automatically: run budget_alerts to get immediate notifications when a project hits specific financial thresholds, and use projects_at_risk to identify any projects that are burning through funds at an unsustainable rate. You can also see a simple log of every single time entry logged for a project by using time_timeline, or pull the full list via list_time_entries.
If you need to fix something, delete_time_entry lets you scrub out old records.
Team Performance & Productivity Reporting
This isn't just about logging hours; it’s about knowing what your team is actually doing. The productivity_report generates a full report summarizing individual and overall team metrics over time. Need to know who was busy last month? Use the contributors tool, which summarizes activity for specific teammates and lets you filter that data by week, month, quarter, or year.
For total hours logged across the squad, run team_time_report to get a consolidated report covering an entire team over any given period. If you want a deeper read on patterns—like when people usually spend their time—the time_analytics tool pulls deep data sets and visualizations for that. You can also check your team's current availability status using team_status, or get the full picture of historical usage via general time_reports.
The system even compiles a weekly_digest to give you an automated summary of all team activity and wins from the last seven days.
Project Status & Daily Workflow
Stay on top of what's happening day-to-day. You can get a concise daily progress report using standup_summary, which details both progress made and any blockers needing attention, listing those specific issues with standup_blockers. If you want to know who’s available right now, the tool checks for current team availability status via team_status.
The agent also identifies tasks that have been sitting stagnant too long using stuck_tasks, which points out potential process delays. For a quick rundown of team progress and blockers during standup time, you can get both a summary (standup_summary) and a list of stalled items (standup_blockers). You can also run get_task to verify any task's existence and pull its full details before anyone starts tracking time on it.
If the team needs an update, team_status lets you check working availability right now.
How GitScrum Time Tracking MCP Works
- 1 First, subscribe to the GitScrum Time Tracking integration on Vinkius and provide your API token and company slug.
- 2 Second, instruct your AI client: 'Start a timer for task XYZ.' The agent validates the task using
get_taskand begins tracking time. - 3 Finally, tell the agent when you're done ('Stop timer'). It uses
stop_timer, logs the time entry, and updates all relevant metrics.
The bottom line is that your AI client manages the entire lifecycle—from starting the clock to generating the final report—without you touching a browser.
Who Is GitScrum Time Tracking MCP For?
Anyone who spends more time managing project data than actually doing the work. This is for developers tired of switching between their IDE and Jira just to log an hour, and Project Managers who need reliable budget numbers without manually running five different reports.
Starts and stops timers directly from the AI chat interface while working in the IDE. They use this to accurately track billable hours on tickets.
Runs standup summaries (standup_summary) and checks for blockers or stalled tasks (stuck_tasks) through natural conversation to keep the team moving.
Checks overall project health by running budget_overview or identifying projects at risk using projects_at_risk before client meetings.
What Changes When You Connect
- Stop manually checking budgets. By requesting
budget_overview, you get an immediate, clear understanding of project spend and remaining funds without navigating financial dashboards. - Never forget to log hours again. Start or stop timers with a single command using
start_timerandstop_timer. The time is tracked automatically, giving accurate billable data. - Stay ahead on status meetings. Instead of reading through old Jira tickets, ask for a standup summary (
standup_summary) to instantly know who finished what and what's blocking the team. - Improve accountability by reviewing activity. Use
contributorsto see exactly how much time each person spent last month, making performance review prep fast and data-backed. - Get project health at a glance. Running
projects_at_riskinstantly flags projects that are burning through their budget too quickly, letting you intervene before it's too late.
Real-World Use Cases
The end-of-day wrap-up
A developer finishes a ticket and needs to log 4 hours of work. Instead of opening the time tracking tab, they ask their agent: 'Log 4 hours for WEB-123.' The agent uses log_manual_time instantly, recording the data point right into the project timeline.
The risk assessment meeting
A PM needs to know if they can commit to a new feature. They ask: 'Which projects are at budget risk?' The agent uses projects_at_risk and returns a list, including the percentage consumed and the estimated overshoot date.
The status meeting prep
A Team Lead needs to run through standup notes. They ask: 'What blockers do we have?' The agent runs standup_blockers and reports back on specific tasks stalled due to external dependencies, saving 15 minutes of coordination.
The weekly report generation
A manager needs a summary for leadership. They ask: 'Give me the team's activity digest.' The agent pulls data using weekly_digest, compiling individual contributions and total hours logged in one shot.
The Tradeoffs
Forgetting to log time
Ending a work day, realizing you worked 6 hours on Project X but never clicked 'log' anywhere. You then have to manually reconstruct the timeline.
→
Use start_timer when you start working and stop_timer when you finish. This ensures accurate, automated logging of elapsed time.
Checking budget status in separate tools
Opening the main dashboard for an overview, then switching to a financial tab for burn-down, and finally opening a report just to see total consumption.
→
Ask your agent: 'What is the project budget health?' It uses budget_overview or projects_at_risk and gives you all three metrics in one chat response.
Trying to find yesterday's work
Searching through dozens of past logs, trying to remember which tasks were marked 'done' yesterday and who worked on them.
→
Simply ask: 'What was completed yesterday?' The agent runs completed_yesterday and provides a clean list with names and task IDs.
When It Fits, When It Doesn't
Use this server if your workflow involves tracking billable hours, managing project finances against set budgets, or running daily team status reports. It excels at making time logging frictionless—you talk to it, and the data gets logged.
Don't use it if you only need general task management without financial constraints; those tools are for simple To-Do lists. Also, if your primary goal is purely qualitative feedback (e.g., process improvement suggestions that don't relate to time or money), this tool won't help. Stick to the core metrics: tracking time (start_timer), monitoring finances (budget_overview), and getting status updates (standup_summary).
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GitScrum. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 28 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Tracking team progress shouldn't require 12 different clicks.
Today, updating project status means jumping between the task board to see what's done, then opening a separate dashboard to check who worked on it, and finally running another report to verify if the work was billed. It’s slow, and you lose context trying to copy-paste data points.
With GitScrum Time Tracking, your AI agent handles this whole sequence conversationally. You just ask: 'What did we accomplish yesterday?' The agent runs `completed_yesterday` and provides a clean summary listing the tasks, the owners, and the status—all in one prompt.
GitScrum Time Tracking MCP Server: Log time entries conversationally.
The biggest loss of time is manual logging. You have to remember start/end times, manually enter the task name, and ensure you pick the right project—it's annoying data entry that nobody wants to do.
Now, you just tell your agent: 'Start tracking for WEB-42.' It starts the timer (`start_timer`), tracks it, and when you say stop, it logs the exact duration using `stop_timer` and updates all reports. The friction is gone.
Common Questions About GitScrum Time Tracking MCP
How do I log time retroactively using GitScrum Time Tracking MCP Server? +
You use the log_manual_time tool. Just tell your agent the project, the task name, and the exact start/end timestamps you need to record.
Can I check if a project is over budget using GitScrum Time Tracking MCP Server? +
Yes, run projects_at_risk. This tool identifies which projects are spending funds too fast and gives you the consumption percentage and estimated overshoot date.
How do I get a daily status update using GitScrum Time Tracking MCP Server? +
Ask for the standup summary. The agent executes standup_summary to provide a clean breakdown of tasks completed yesterday, current blockers (standup_blockers), and anything stuck.
What is the best tool for checking my personal assignments? +
Use my_tasks. This retrieves every single task assigned directly to you across all workspaces, so you don't have to check multiple project boards.
What credentials do I need to connect GitScrum Time Tracking MCP Server? +
You need a valid GitScrum API token and your company slug. These pieces of information authenticate your connection to the service, allowing your AI client access to your team's project data.
How do I use `delete_time_entry` if I logged hours incorrectly? +
You can delete a time entry by providing the specific unique ID of that entry. This tool completely removes the record from your tracking history, ensuring your project data is accurate.
How can I review all project history using `time_timeline`? +
The time_timeline tool gives you a complete, chronological view of every time entry for a given project. This helps visualize when work was done and by whom over the entire project lifespan.
When using `contributors`, what time scopes can I analyze? +
You can filter contributor activity summaries across four main periods: week, month, quarter, or year. This lets you compare performance trends over any defined reporting window.
Can the agent start and stop timers on tasks without me opening GitScrum? +
Yes! Use start_timer with any task UUID to begin tracking, and stop_timer to end it. Only one timer can be active at a time. Use list_tasks or my_today_tasks first to find the task you want to track. The agent handles the complete flow in seconds.
Can I get a standup summary without attending the meeting? +
Absolutely. Use standup_summary for the daily overview, completed_yesterday for what the team shipped, standup_blockers for current impediments, and team_status for per-member breakdown. It's your entire standup in 4 quick queries.
Can the agent flag projects that are over budget? +
Yes. Use projects_at_risk to see all projects approaching or exceeding their budget threshold. Then drill into any project with budget_overview for total vs consumed, budget_burndown for trend analysis, and budget_alerts for active threshold warnings.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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