ClockShark MCP. Track field hours, costs, and schedules instantly.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
ClockShark lets you take full control of field crew hours, job costing, and scheduling using GPS-verified timesheets. You can programmatically list time entries, create shifts for specific jobs, and monitor labor costs across multiple projects with natural language commands.
What your AI agents can do
Create job
Adds a brand-new job or project code into the system directory.
Create shift
Schedules and records a new work shift for an employee.
Create task
Adds a specific, billable work task to the job directory.
Get a list of all active or inactive employees currently in the system.
Retrieve detailed lists of historical clock-in and clock-out timesheets for any crew member.
View or programmatically list all service jobs and project codes your company tracks.
Create new work shifts, assigning specific employees to jobs for a set time frame.
List all service tasks and project codes used by the field crew.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
ClockShark: 10 Core Operational Tools
These ten tools give your agent the power to read, write, and update every aspect of your field crew's time, jobs, and schedules.
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 ClockShark on Vinkius019dd0d0create job
Adds a brand-new job or project code into the system directory.
019dd0d0create shift
Schedules and records a new work shift for an employee.
019dd0d0create task
Adds a specific, billable work task to the job directory.
019dd0d0create timesheet
Manually adds a time entry record for an employee's hours worked.
019dd0d0get employee details
Retrieves specific profile information and records for one staff member.
019dd0d0list employees
Gives a full list of every employee record in the system.
019dd0d0list jobs
Pulls an exhaustive list of all active and past jobs/projects.
019dd0d0list schedules
Displays a full directory of scheduled work shifts for the team.
019dd0d0list tasks
Returns a complete list of all defined service tasks and project codes.
019dd0d0list timesheets
Generates comprehensive lists of past time tracking entries for the crew.
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 ClockShark, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ 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 ClockShark. 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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
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 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The Old Way of Tracking Field Labor
Right now, tracking hours is a mess. You're opening the scheduling dashboard, checking job assignments in one tab, and then switching to another window just to see if the employee actually clocked out at the right GPS location. If you need last week’s records, it means digging through multiple complex tables and manually cross-referencing dates and project codes.
With this MCP, that entire process collapses. You simply tell your agent, 'What were the hours for Project X last month?' It pulls all necessary data from the system instantly and gives you a clean summary. You get answers without ever clicking more than one thing.
Getting Accurate Timesheets with list_timesheets
The tedious part is always reconciling gaps—finding where the timesheet stops and starts, or seeing if a crew member was logged in when they should have been. You waste time comparing dates across three different views just to confirm basic clock-in accuracy.
Now, calling `list_timesheets` gives you a definitive record of every single entry. It doesn't just list numbers; it provides the context and metadata you need to prove billable hours instantly.
What you can do with this MCP connector
Need to keep track of where your crews are working and how many hours they clocked in? This MCP connects directly to ClockShark, letting you manage all field operations through conversation. You can pull detailed historical records, like checking specific clock-in/out times or looking up staff directories instantly. It's about automating the tedious work of payroll prep and project accounting.
When your agent pulls data from this MCP, it’s executed inside a secure V8 isolate sandbox on Vinkius, guaranteeing that every single time entry and schedule change is recorded with an auditable trail. This means you get full visibility into exactly which tools were called, what data flowed through, and how the budget is being used for your crew—nothing happens in the dark.
019dd0d0-d933-735c-a56d-29608965db1e 
How ClockShark MCP Works
- 1 First, subscribe to this MCP on Vinkius. Then, grab your API Key from the ClockShark portal (usually found under Admin > Integrations).
- 2 Connect your AI agent using any MCP-compatible client like Cursor or Claude. Your agent now has access to all the scheduling and employee data.
- 3 Ask your agent a question—like 'Show me last week's timesheets for the Riverfront Project.' The agent uses the connected tools to pull and interpret the live data.
The bottom line is you stop manually following up on missing paperwork or digging through complex spreadsheets. Your AI client handles all the operational coordination.
Who Is ClockShark MCP For?
This MCP is built for operations managers, HR specialists, and construction supervisors who spend too much time cross-referencing employee clock-ins against project deadlines. If you're tired of digging through siloed spreadsheets just to calculate a labor cost report, this is for you.
Uses the agent to instantly pull reports on completed work and check if current project timelines are hitting budget targets.
Monitors employee timesheets for clock-in accuracy and verifies staff directories without leaving their usual payroll workspace.
Automates shift scheduling and assigns new jobs to crew members using simple natural language commands.
What Changes When You Connect
- Stop manually checking timesheets. You can use
list_timesheetsto pull historical clock-in/out records and location metadata immediately. - Never lose track of staff assignments. The agent manages shifts by using
create_shiftorlist_schedules, keeping your team's operation perfectly coordinated. - Simplify job setup. You can use
list_jobsto see all current projects, ensuring your crew always knows which codes and tasks to use. - Better labor budgeting means knowing the true cost of work. Use
create_taskorcreate_timesheetto track every minute against a specific project code. - Streamline team oversight by calling
list_employeesand usingget_employee_detailsto verify staff status without opening multiple internal portals.
Real-World Use Cases
The Payroll Audit
It's the end of the month. Instead of manually cross-referencing dozens of spreadsheets, you simply ask your agent to list_timesheets for the last quarter. The agent gives you a summary report showing total hours logged and flags any missing entries or location gaps.
The New Project Launch
A client signs on, and you need to set up billing immediately. You use create_job first, then tell your agent to automatically generate the necessary tasks by calling create_task, ensuring all costs are tracked from day one.
The Scheduling Conflict
You realize two crews are scheduled for the same location next week. You ask the agent to check list_schedules and it immediately points out the overlap, allowing you to reschedule before any conflict happens on site.
The Staff Inquiry
A supervisor needs to know if a contractor is still active. Asking your agent to run list_employees followed by get_employee_details confirms their status and contact information instantly, all from one chat window.
The Tradeoffs
Manually Updating Records
A user tries to update a shift by logging into the ClockShark portal and clicking through multiple tabs. This is slow and prone to human error.
→
Instead, use your agent to call create_shift directly in natural language. Tell it: 'Schedule John for tomorrow from 8 AM to 5 PM.' It handles the update instantly.
Ignoring Project Scope
A supervisor just starts assigning work without defining the job code first, leading to unbillable hours and confused accounting.
→
Always start by letting your agent list_jobs to confirm or create a project using create_job. This ties all subsequent tasks together properly.
Mixing Data Sources
Trying to pull scheduling data from one system and timesheets from another, requiring manual reconciliation.
→
Use this MCP to centralize everything. The agent can cross-reference list_schedules with list_timesheets in a single conversation flow.
When It Fits, When It Doesn't
You need this MCP if your business relies on tracking time, labor costs, and physical locations for field service work—think construction, utilities, or field maintenance. Use it when you need to perform specific actions like running list_timesheets for a date range or creating structured data using create_job. Don't use this if your primary goal is internal HR policy management (like changing an employee’s title); that requires access to dedicated HR platforms instead. Also, don't try to guess job codes; always let the agent run list_tasks first to verify the correct structure before creating anything.
Common Questions About ClockShark MCP
How do I use the create_job tool with ClockShark? +
To add a new project, simply ask your agent to call create_job. You just need to provide a unique name and a description for the project. The MCP handles adding it cleanly to your directory.
What data is available when I run list_employees? +
The list_employees tool returns an exhaustive roster, showing names and basic status information for all staff records in the system. You can then use get_employee_details to pull deeper info on specific people.
Can I automate scheduling using create_shift? +
Yes. By calling create_shift, you tell your agent exactly who needs a shift and when it should happen. The system then writes that new assignment into the live schedule, keeping everything up to date.
How does list_timesheets help with job costing? +
By calling list_timesheets, you get verifiable hours tied directly to specific jobs and tasks. This gives your accounting team the clean data they need for accurate cost reports.
How do I use `get_employee_details` to pull specific information about a staff member? +
It returns the employee's full profile data, including their current status, contact info, and job history. You just need to pass an ID or name for a precise record check.
When I use `create_task`, what fields do I need to provide to accurately track labor costs? +
You must specify the linked project code, required hours, and a detailed work type. Providing this context ensures the task links correctly for accurate job costing.
If I run `list_schedules`, how does my agent handle potential shift conflicts? +
The response details the assignment time block, and your agent flags any overlaps or gaps in coverage. This lets you quickly adjust assignments before they become an issue.
What is the difference between `list_jobs` and `list_tasks`? +
Jobs are high-level projects, while tasks represent specific services under a job code. Use list_tasks to see all defined service operations available for billing.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.