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UKG Ready MCP. Manage every HR function from payroll to applicants.

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Works with every AI agent you already use

…and any MCP-compatible client

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Just plug in your AI agents and start using Vinkius.

UKG Ready MCP Server connects your AI client directly to the UKG Ready HCM suite. Use it to manage the full employee lifecycle, running tools for applicants, current employees, timecards, and payroll history.

It handles everything from job applicant pipelines to calculating projected overtime costs.

What your AI agents can do

Applicants

Retrieves a list of job candidates stored in the UKG Ready Applicant Tracking System.

Employees

Pulls detailed records for all current employees within the organization.

Payroll

Lists historical payroll data, allowing you to track earnings and deductions over time.

+ 1 more capabilities included
List job applicants

The agent retrieves a list of candidates currently in the system pipeline.

Retrieve employee records

You pull up detailed profiles for any current employees listed in UKG Ready.

Check payroll history

The agent pulls historical pay details and earning breakdowns for specific employees.

List timesheets

You view all submitted or approved time entries for any employee in the system.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

UKG Ready MCP Server: 4 Tools for HR & Payroll Management

These tools let your agent read specific data points—from job applicant lists to detailed pay records—across the entire UKG Ready ecosystem.

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applicants

Retrieves a list of job candidates stored in the UKG Ready Applicant Tracking System.

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employees

Pulls detailed records for all current employees within the organization.

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payroll

Lists historical payroll data, allowing you to track earnings and deductions over time.

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timesheets

Provides a list of submitted or approved timesheet entries for any employee.

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
Start building

Make Your AI Do More

Start with UKG Ready, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,700+ 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

What you can do with this MCP connector

Your agent connects directly to the UKG Ready HCM suite using the MCP Server. This gives you access to manage every step of an employee's journey, from when they apply for a job right up through payroll and time tracking. You can run tools covering applicants, current employees, timesheets, and historical pay data.

When your agent uses applicants, it pulls a list of candidates stored in the UKG Ready Applicant Tracking System. This lets you see who's currently in the pipeline, giving you candidate names and their application status. You can check which job they applied for and when that record was created.

The tool gives you enough data to track the entire hiring funnel.

For current staff, employees pulls detailed records for every person on payroll. It provides full profiles including employee IDs, department assignments, titles, and manager information. You pull these complete employee details whenever you need a comprehensive view of who works there. This isn't just names; it's the whole profile.

To track hours worked, timesheets lets you view all submitted or approved time entries for any specific staff member. It lists the dates covered, the number of hours logged, and whether those timesheets are pending review or already signed off. If you need to know what someone clocked in last week, this tool provides that exact breakdown.

Finally, payroll handles all historical pay data. You can check past earning breakdowns and deductions over time for any employee. This includes tracking gross earnings and various withholdings. The server allows you to pull detailed records of previous payslips, letting you track how salary structures or deductions have changed year over year.

Because it's connected to the full HCM suite, your agent even handles calculating projected costs, like potential overtime based on existing hours.

The system treats all organizational data—employee profiles, department structures, time entries, and pay history—as one continuous context for your AI client. It doesn't just read static reports; it executes specific functions, like calling timesheets to list pending clock-ins or running payroll to calculate an estimated bonus payout based on current rates.

How UKG Ready MCP Works

  1. 1 Tell your AI agent what you need (e.g., 'Show me payroll data for Jane Doe').
  2. 2 The agent identifies the required tool (payroll) and executes it, passing necessary parameters (like employee ID).
  3. 3 You get a structured data response directly from UKG Ready, allowing you to analyze pay history or current time entries instantly.

The bottom line is that your AI client runs live queries against the UKG system instead of just looking at cached documents.

Who Is UKG Ready MCP For?

Payroll Administrators, HR Operations Managers, and Department Heads. If you spend time cross-referencing employee IDs across separate systems—checking if a person listed in timesheets is actually an active employee or if their pay rate matches their job title—you need this. This cuts through the manual data matching.

HR Operations Manager

Uses the server to pull applicant lists and check current employee status before onboarding new hires.

Payroll Administrator

Runs payroll history checks and cross-references time entries using timesheets to validate pay runs.

Department Manager

Checks who is currently in the system (employees) or reviews team timesheet submissions for approval.

What Changes When You Connect

  • Instant compliance checks: You can run the payroll tool to instantly check historical pay rates and deductions, minimizing audit risk without needing to export CSVs.
  • Full lifecycle view: Pull applicant data using applicants, then use that information later to see if they are added as an active employee via the employees tool.
  • Time-to-payroll validation: Check submitted work hours with the timesheets tool, then cross-reference those entries against historical pay rates using payroll for quick approval.
  • Consolidated records: Get a single source of truth by pulling detailed employee profiles via the employees tool, eliminating the need to jump between HRIS and internal spreadsheets.
  • Workflow automation: Your agent can coordinate tasks—for example, listing applicants (applicants) and then calculating potential salary bands based on similar roles.

Real-World Use Cases

01

Investigating a pay discrepancy

A payroll admin finds an error in last month's paycheck. They ask their agent to check the payroll tool for that employee ID and cross-reference it with the timesheets tool to see exactly what hours were logged during the period in question. The system quickly highlights the discrepancy, saving hours of manual reconciliation.

02

Auditing a terminated employee's data

The HR team needs to verify that all final payments were correct. They instruct their agent to pull the employees record and then run the payroll tool, ensuring every paycheck up to termination date is accounted for.

03

Reviewing job candidate pipelines

A hiring manager needs a status update on several roles. They ask their agent to use the applicants tool to get a count of candidates at each stage and then pull specific profiles for follow-up.

04

Approving complex time entries

A department manager needs to approve overtime hours that look unusual. They ask their agent to list the timesheets for the week, review the totals, and confirm if those hours correlate with expected salary rates by checking payroll.

The Tradeoffs

Treating timesheets as payroll

Manually taking a list of submitted time entries from the timesheets tool and trying to calculate pay based on outdated spreadsheets.

Don't manually calculate it. Use your agent to call both timesheets (to get current hours) AND payroll (for accurate rates/deductions). The server handles the complex calculation logic.

Searching for employees by name only

Just giving the AI client a person's full name and expecting it to pull up their record without specific IDs.

Always provide an Employee ID or use a combination of data points when calling employees or payroll. Specific identifiers ensure you get the correct, unambiguous record.

Ignoring candidate status

Assuming that because an applicant was listed in the past, they are still viable for hiring today.

Always start by calling applicants to see the live pipeline. If you need current employee data, use the dedicated employees tool.

When It Fits, When It Doesn't

Use this server if your core job involves managing any part of the employee lifecycle—from recruiting (using applicants) through daily time logging (timesheets) to final payment processing (payroll). It's mandatory for compliance and audit functions.

Don't use it if you only need simple, read-only directory lookups that don't involve complex historical data or calculations. For example, if you just need a list of department names without associated employee records, a simpler LDAP integration might be enough. But if the job involves checking when someone was paid, or how many hours they worked, this is necessary.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by UKG Ready. 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

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No stored credentials

DLP Enforced

Policy on every call

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EU data residency

Token Compression

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How we secure it →

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 4 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

applicants employees payroll timesheets

Pulling together payroll and time data usually feels like pulling apart an ancient filing cabinet.

Today, you pull up the timesheet system to see who logged 40 hours. Then, you open the HRIS to find out if that person is still active. Next, you switch over to a spreadsheet because the time sheet doesn't include their current pay rate or tax status. You spend fifteen minutes copy-pasting IDs and manually validating data just to confirm basic compensation.

With this MCP server, your agent handles all that messy work in one query. You ask for payroll validation on submitted hours. The system runs the `timesheets` tool against the employee's record, then validates those totals using the `payroll` tool's current rate data. It gives you a single answer: approved and calculated.

UKG Ready MCP Server: Access payroll history and manage employees in minutes.

Before, checking an employee’s full history—from their first timesheet to their final paycheck—meant opening four different tabs and downloading three separate PDFs. You had to stitch together who worked what hours, when they were paid, and how much tax was deducted.

Now, you simply tell your agent to pull the data using `payroll`, `timesheets`, and `employees`. The system consolidates all that information into a single flow of structured data. It's immediate access to the entire record.

Common Questions About UKG Ready MCP

How do I use the UKG Ready MCP Server to check payroll history? +

You instruct your agent to use the payroll tool and provide the employee ID. The server returns a structured list of historical pay records, including dates and gross amounts.

Can I find out who is working overtime with the timesheets tool? +

Yes, you call the timesheets tool for an employee or team. The resulting data shows all recorded hours, allowing you to filter and identify any entries above standard work week limits.

What is the best way to check if a job applicant is already an employee? +

First, use the applicants tool for their pipeline status. If they move forward, you can then run the employees tool with their potential ID to see if a matching record exists.

Does the UKG Ready MCP Server handle multiple department payroll checks? +

Yes. You pass the range of employee IDs or departmental filters to the payroll tool, and it processes the records for all specified groups.

How can I use the `timesheets` tool to filter data for a specific pay period? +

You pass start and end dates as required parameters. This limits results precisely to the timeframe you need, preventing your agent from dumping irrelevant historical records into the context.

What authentication method does the `employees` tool use to connect to UKG Ready? +

The connection requires standard OAuth credentials provided by your organization’s IT team. Your AI client handles token refreshing automatically once initialized, keeping sessions active.

If I run `applicants`, how do I cross-reference job candidates against current employees? +

You can pass a list of known employee IDs to the applicants tool. It returns any matching records and flags them in your agent’s output, letting you spot potential overlaps immediately.

What happens if my AI client exceeds the rate limit when listing payroll data using `payroll`? +

The system returns a structured HTTP 429 error code. Your agent can then automatically implement an exponential backoff delay to safely retry the request without manual intervention.

What capabilities are exposed for UKG Ready? +

AI agents can view employees, query payroll history, fetch candidate pipelines, check time off data, and read timesheets.

How do I authenticate with UKG Ready? +

Provide your UKG Ready API Key, Company shortname, and user credentials. The server exchanges them for an active session token.

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Built & Managed by Vinkius 30s setup 4 tools

We've already built the connector for UKG Ready. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 4 tools are live and waiting. You're up and running in seconds.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

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