TrackingTime MCP. Stop tracking time in spreadsheets. Log hours with conversation.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
TrackingTime connects your AI client directly to your billing data. It lets you start, stop, and log time for specific tasks or projects using natural conversation.
Need a report of hours worked last month? Just ask. This server handles task creation, project oversight, and detailed time logging so you can focus on the work, not the paperwork.
What your AI agents can do
Add time entry
Manually adds a specific block of time to your logbook with a start date and end date.
Create project
Sets up an entirely new, distinct project within your account structure.
Create task
Adds a specific to-do item that belongs under an existing project.
The agent initiates or halts a timer, recording real-time activity against a specific project task.
You tell the agent to set up a new project or add a granular task within an existing project structure.
The system fetches detailed time entries for any date range, allowing you to verify logged hours quickly.
You ask the agent for a list of active projects or clients, giving you an instant overview of your work directory.
The agent queries the workspace to give you lists of users and team members available on specific dates.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
TrackingTime MCP Server: 12 Tools for Time & Project Management
Execute all functions—from creating new clients to stopping a timer—using these twelve specialized tools through your AI agent.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using TrackingTime on Vinkius019dd177add time entry
Manually adds a specific block of time to your logbook with a start date and end date.
019dd177create project
Sets up an entirely new, distinct project within your account structure.
019dd177create task
Adds a specific to-do item that belongs under an existing project.
019dd177get user profile
Retrieves your current user account details and profile information.
019dd177list customers
Provides a list of all clients associated with your projects.
019dd177list time entries
Fetches a detailed log of time entries based on specified date ranges or filters.
019dd177list projects
Shows every project you currently have set up in the system.
019dd177list tasks
Lists all tasks, allowing you to see their status and due dates within your projects.
019dd177list workspace users
Lists all team members connected to your workspace and their current roles.
019dd177start timer
Immediately begins tracking time, starting the clock for a defined task or project.
019dd177stop timer
Stops the running timer and logs the elapsed time to your current session record.
019dd177update task
Modifies details of an existing task, such as changing its status or due date.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with TrackingTime, then connect any of our 5,000+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,000+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by TrackingTime. 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 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Finding out who worked on what shouldn't require three different screens.
Today, logging time means opening your project dashboard, finding the correct client folder, navigating to the right task, clicking a start button, and then manually inputting data into a separate timesheet tool. It’s clicks, tabs, and copy-pasting—and you always forget something.
With this MCP server, it's one conversation. You tell your agent: "Log 5 hours for Acme Corp on the API task.". The agent handles all the lookups, logging, and cross-referencing in a single command. It just works.
TrackingTime MCP Server: Stop worrying about forgotten tasks.
Before, if you finished a big deliverable, you'd have to remember to go back and manually update the task status. If you forgot, the project board showed an inaccurate picture of your progress until someone noticed it.
Now, just tell the agent to update the task. It handles the state change instantly. Your whole team sees accurate data immediately—no more manual follow-ups needed.
What you can do with this MCP connector
Forget opening a dashboard just to punch out time. This server connects your AI client directly to your billing data, letting you start, stop, and log time for specific tasks or projects using plain conversation. You'll use it when you need to manage hours without ever touching the manual input screen.
Real-Time Time Tracking
The agent controls your clock right from chat. To begin tracking work, you simply tell it to start a timer; this immediately starts recording time against a specific project or task. When you wrap up for the day or switch focus, telling the agent to stop the timer logs that elapsed time directly into your current session record.
You can't lose track of hours when your AI client handles the clock.
Building Out Your Work Structure
You tell the system what needs to get done and where it belongs. To start a brand new account structure, you ask the agent to create an entire project. If that project already exists, you can add specific to-do items—or tasks—underneath it. You'll use this server to modify existing work by updating a task’s status or pushing back its due date.
Logging and Reviewing Hours
The system gives you complete control over your recorded time. If you worked hours before the clock was running, you can manually add that specific block of time using start and end dates. To check up on everything you've logged, asking for a detailed log pulls every single time entry based on date ranges or filters you specify.
You also get an instant overview of your active work directory by listing all projects currently set up in the system, or pulling a comprehensive list of clients associated with those projects.
Getting Your Ducks in a Row (Directory Info)
Need to know who's on the team? The agent queries the workspace and gives you lists of every user and their roles. You can also get your own account details instantly by retrieving your current user profile information, which keeps everything accurate for payroll and billing.
Task Management and Status Checks
The server handles listing all tasks so you can see exactly what's due and what status they're in across every project. It helps keep the whole operation organized: it gives you a clear picture of your team members, lists all active projects, and lets you pull detailed time logs for accurate billing records.
019dd178-2802-724e-9b56-1d937559182d 
How TrackingTime MCP Works
- 1 Subscribe to this server and provide your TrackingTime credentials.
- 2 Your AI client uses natural language to invoke a tool (e.g., 'Start my timer for the SEO audit').
- 3 The MCP Server executes the requested action, updates your time logs, and reports the status back to your agent.
The bottom line is that you talk to your AI client like normal, but it talks to TrackingTime's API for you.
Who Is TrackingTime MCP For?
Anyone who bills hours—freelancers, consultants, and agency managers. If your job involves tracking time across multiple clients or projects, this is for you. It cuts out the friction of switching between logging tools, project management software, and spreadsheets.
Starts a timer via AI command when they begin work on a client's deliverable, then uses list_time_entries to pull a summary report for invoicing later.
Uses the agent to check team availability (list_workspace_users) and verify that all tasks under a major project have been completed before client sign-off.
Periodically runs checks on list_customers and list_projects to ensure every active revenue stream is accounted for in the system, preventing missed billing cycles.
What Changes When You Connect
- Instantly start and stop timers via commands. When you need to clock into a task, simply tell the agent to run
start_timer. This eliminates clicking through menus and ensures your logged activity matches reality. - Maintain an accurate project directory. Use
list_customersorlist_projectsto see all active engagements at a glance. You never have to guess which client you were working for last week again. - Handle time logging retroactively. Instead of waiting until Friday, use the agent to run
add_time_entryright after a meeting, specifying the exact hours and project so nothing falls through the cracks. - Keep your tasks current. Need to change a deadline? Run
update_task. This lets you modify task status or due dates directly from chat, keeping your workflow visible across the team. - See who's available when. The agent can call
list_workspace_usersto check team bandwidth and availability before you commit to a meeting time, saving scheduling back-and-forth.
Real-World Use Cases
Billing After a Big Client Meeting
You just finished a planning session with Acme Corp. Instead of opening your spreadsheet and manually calculating the 3 hours spent, you tell your agent: "Log 3 hours for the Acme Corp project.". The agent runs add_time_entry, records the time against the correct client/project, and confirms it's logged.
Quickly Starting Focused Work
You sit down to write code. You tell your agent: "Start my timer for the API integration task.". The agent runs start_timer, keeping the clock running until you are done, eliminating manual time tracking at the start of deep work.
Onboarding a New Project
A new client signs on. You prompt your agent: "Create a project for 'Alpha Launch' and add tasks for discovery, design, and review.". The agent runs create_project followed by multiple calls to create_task, building the whole structure in seconds.
Auditing Team Workload
It’s end-of-month. You need a report on who worked on what. You ask your agent for time logs, specifying the date range. The agent runs list_time_entries, pulling all recorded hours to verify team effort and billing potential.
The Tradeoffs
Using spreadsheets for logging
Manually updating a Google Sheet or Excel file. This is slow, prone to human error (missed dates, miscalculated sums), and requires opening multiple tabs just to verify one entry.
→
Let the agent handle it. Use add_time_entry for manual logging or let it manage time flow using start_timer/stop_timer. The data goes straight into the system of record.
Ignoring project boundaries
Logging a general block of 'Work Time' without linking it to a specific client or task. This makes billing reports useless because you can’t prove profitability.
→
Always reference the context when logging time. Use list_customers and list_projects first, then use the agent to log entries linked specifically via add_time_entry.
Updating tasks manually
A PM finds a task is late, so they have to open the system dashboard, find the exact record, and change the status from 'In Progress' to 'Overdue'. This adds friction.
→
Use update_task through your agent. Tell it: "Change the status of the 'Blog Draft' task to Overdue." The agent handles the UI interaction for you.
When It Fits, When It Doesn't
You should use this server if tracking time is mission-critical and requires multiple interconnected steps (Project Setup $
ightarrow$ Task Assignment $
ightarrow$ Time Logging $
ightarrow$ Reporting). It's built to replace the manual context switching between a calendar, project board, and timesheet. Don't use it if you only need a simple reminder or a basic checklist—a standard task manager is fine. However, if your pain point is 'I have hours worked, but I can't prove who billed them or why,' then this server provides the necessary structure using tools like list_time_entries and create_project. If you just need to see a list of people, basic team directory services will work. But if you need that data in conjunction with billing records, this is what you need.
Common Questions About TrackingTime MCP
How do I use TrackingTime to log time entries? +
You tell your agent, "Log 4 hours for the client project.". The system uses add_time_entry to record it. You can specify the exact date and task within that command.
Can I start and stop timers using TrackingTime? +
Yes. Just say, "Start my timer for the Design Review.". The agent runs start_timer and tracks your time until you tell it to run stop_timer.
Does TrackingTime help me manage multiple clients? +
Absolutely. You can use list_customers to see all accounts, and then log specific work using the client name alongside your time entry tools.
What if I need to change a project or task? Is it hard with TrackingTime? +
No. You just tell your agent what needs changing (e.g., 'Update the due date for the SEO audit'). The agent executes update_task directly.
How many tools are in the TrackingTime MCP Server? +
There are twelve specialized tools available, covering everything from creating projects to listing team members.
How do I authenticate my credentials when connecting TrackingTime to my AI agent? +
You must subscribe to the server and provide your specific TrackingTime Email and Password. Your AI client uses these credentials to establish a secure connection, allowing it to access your full time tracking data.
Using list_time_entries, how can I retrieve my time logs for only last month? +
Yes, you specify the desired date range in your prompt. You simply tell your agent to fetch entries between 'Start Date' and 'End Date,' and it filters the full log history accordingly.
How does TrackingTime help me see my team’s availability? +
You use the list_workspace_users tool to check your team members. This function retrieves a directory of all available users, showing their names and current workspace status.
Can I start a timer for a specific task using the AI? +
Yes! Use the start_timer tool and provide the Task ID. Your agent will instantly begin tracking time for that specific activity in your workspace.
How do I see my time logs for the last 7 days? +
Run the list_time_entries query. Provide the fromDate and toDate in YYYY-MM-DD format to retrieve the full history of tracked blocks for that period.
Is it possible to add a time entry manually via AI? +
Absolutely. Use the add_time_entry action. Provide the start time, end time, and the associated Task ID to register a completed block of time.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.