WebHR MCP for AI Agents. Manage your entire employee lifecycle from chat.
WebHR connects your AI client directly to a full cloud HRMS. Use this MCP to manage every stage of employee life—from tracking who clocks in and out to monitoring job applicants and approving leave requests. It pulls organizational data, department structures, and staff records into natural conversation.
Give Claude and any AI agent real-world access
Fetch specific details about any staff member in the company.
Get an aggregated report of clock-in and clock-out metrics for a set timeframe.
List current pending leave requests or check available PTO balances for staff members.
Retrieve a list of company departments, offices, and employee lists.
View open positions, active applicants, and internal job requisitions.
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What AI agents can do with WebHR MCP: 11 HR Tools for Data Management
These tools allow your agent to access every facet of the WebHR system, from checking employee profiles to managing job applicants.
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 WebHR MCPGet Attendance Summary
Calculates aggregated metrics regarding employee clock-in/out times.
Get Employee Details
Retrieves specific personal and professional information for one staff member.
List Attendance Logs
Lists every recorded instance of an employee clocking in or out.
List Job Candidates
Shows the roster of applicants for any specific job opening.
List Company Departments
Gives a full list and description of all organizational departments.
List Employees
Retrieves the names and basic metadata for all current staff members.
List Job Postings
Lists all currently open job positions needing to be filled.
List Job Requests
Retrieves internal requests for new roles or transfers within the company.
List Available Leave Types
Lists all different types of leave available in the HR system (e.g., PTO, sick).
List Leave Requests
Shows a history and status list of employee leave submissions.
List Office Locations
Lists all physical company office locations globally.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
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 each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with WebHR, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
- Add new capabilities to your AI anytime you want
- Connections are secured and governed automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by WebHR. 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 each call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
The administrative headache of HR data silos Solved with Vinkius AI Gateway
Right now, gathering a simple organizational report means clicking through at least three different systems. You open the directory to check roles, then switch to the PTO portal for leave balances, and finally jump to the time clock dashboard to see attendance gaps. Copying all that data into one spreadsheet takes hours.
With this MCP, you ask your agent a single question—for example, 'Show me the full details for the new hires in Engineering.' The system pulls employee records, department definitions, and relevant contact info instantly, giving you the complete picture right where you're working.
WebHR MCP: Complete HR Data Oversight
You no longer have to manually cross-reference job postings with current staff rosters. You can run `list_job_postings` and then use the list of applicants from `list_job_candidates` to build a clear talent gap report, all in one conversational turn.
The difference is speed. What used to take an administrative assistant half a day now takes your agent seconds. It's instant oversight.
What your AI can actually do with this
Managing people is messy. WebHR gives your agent direct access to a comprehensive cloud HR system, pulling together all the scattered data you need. Instead of jumping between payroll, attendance sheets, and recruitment portals, you talk to your AI client, and it does the heavy lifting. You can quickly pull full employee profiles or generate an attendance summary for an entire office location this week.
Need to see who's applying for a role? Your agent handles that too. Whether you're checking leave balances or getting a clear list of all company departments, WebHR makes complex personnel tracking feel simple. It’s the central hub for human resources data in your chat window, available through Vinkius.
019dd187-1822-71dc-a98f-020abf6b4b07 Here's how it actually works
The bottom line is: you never have to leave your chat window to get HR metrics or employee records.
Subscribe to the WebHR MCP on Vinkius.
Enter your specific WebHR API key in the setup settings.
Use any MCP-compatible client (like Cursor or Claude) to ask a question, and the agent retrieves the data directly from WebHR.
Who is this actually for?
Anyone who handles people operations and needs visibility into complex, siloed data. This MCP saves the Operations Lead from spending hours jumping between dashboards just to build a simple report for management.
Automates monitoring of staff attendance, tracks leave requests across departments, and manages candidate pipelines without manual data entry.
Quickly retrieves detailed employee profiles or department structures to understand the current organizational setup for a project launch.
Checks team attendance summaries and monitors available job postings to plan staffing needs for the upcoming quarter.
What Changes When You Connect
Access immediate team status. Instead of digging through multiple dashboards, use get_attendance_summary to instantly see overall punctuality metrics for any office location this week.
Streamline hiring visibility. Quickly monitor the recruitment pipeline by using list_job_postings and then checking active applicants with list_job_candidates. You get a full status update in one go.
Keep HR data centralized. Get comprehensive staff records—from personal details to department hierarchy—using get_employee_details without ever leaving your AI client chat.
Master leave tracking. Easily check who needs time off or review past submissions by calling list_leave_requests, giving you instant visibility on PTO balances.
Understand the business structure. Get a clear map of your company setup, whether it's listing all departments via list_company_departments or checking global sites with list_office_locations.
See it in action
Audit department headcount and structure
The Operations Lead needs to verify if the Engineering team reports into the correct division. They ask their agent to run list_company_departments and then cross-reference all staff with list_employees to ensure accurate reporting lines.
Handle a leave approval audit
An HR Manager needs to know why Marcus's PTO request is pending. They ask the agent to run list_leave_requests for that employee and check their balance using list_available_leave_types to confirm policy compliance.
Assess team punctuality issues
The Department Manager notices a dip in performance. They ask the agent to pull an attendance summary for the last two weeks using get_attendance_summary, allowing them to pinpoint specific days or locations with high late arrival rates.
Review recruitment progress
The hiring manager needs a status update on a key role. They ask the agent to first run list_job_postings to confirm the job is active, then use list_job_candidates to see exactly who made it to the final interview round.
The honest tradeoffs
What to watch out for, and the recommended way to handle each one.
Manual data aggregation
Trying to compile an attendance report by logging into three different dashboards (Time Clock, PTO Tracker, Employee Directory) and copying 50 names into a spreadsheet.
Ask your agent to run get_attendance_summary for the desired date range. If you need more detail, use list_attendance_logs. It pulls all that data instantly.
Misunderstanding job roles
Thinking that checking general staff lists (list_employees) is enough to see who is applying for open jobs.
list_job_candidates provides the specific applicants tied to a role, while list_employees only shows current staff. Use them separately.
Assuming real-time changes
Believing that viewing list_leave_requests means you can approve or change the request status within the chat.
This MCP is for reading data. Use it to retrieve statuses; if you need to take action, follow up with your HR system's specific approval workflow.
When It Fits, When It Doesn't
Use this MCP if your core problem involves querying, summarizing, or auditing structured human resources data—like checking attendance rates, comparing department structures, or reviewing candidate status. It's built for complex reads and reports.
Don't use it if you need to perform actions that require credentials beyond basic API access (e.g., updating a salary record or approving payroll). If your goal is simple data entry or single-field updates, the MCP isn't designed for write operations.
If all you need is a list of names and departments, list_employees and list_company_departments are enough. But if you need to combine those lists with attendance metrics (like finding out which employees in 'Marketing' were late last week), this MCP’s combination of tools is what you need.
Questions you might have
How do I check the attendance status using WebHR MCP? +
You use get_attendance_summary to get metrics, or list_attendance_logs if you need every single clock-in/out record. You just tell your agent which dates and location you're interested in.
Can WebHR MCP help me see who is available for hire? +
Yes. To view open positions, run list_job_postings. Then, use list_job_candidates to check the pool of applicants you've already collected.
What difference is there between listing employees and departments? +
list_employees gives you a list of people. list_company_departments gives you a formal list of organizational units like 'Sales' or 'Engineering'.
How do I track leave requests with WebHR MCP? +
You use list_leave_requests to see the status and history of submissions. If you need to know what types of leave are even available, run list_available_leave_types first.
Does WebHR MCP only work for one office location? +
No. You can use list_office_locations and then scope your requests using the location data to pull relevant records from other tools, like attendance summaries.